Thomas E. Nichols

84.9k total citations · 23 hit papers
335 papers, 49.7k citations indexed

About

Thomas E. Nichols is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Statistics and Probability. According to data from OpenAlex, Thomas E. Nichols has authored 335 papers receiving a total of 49.7k indexed citations (citations by other indexed papers that have themselves been cited), including 169 papers in Cognitive Neuroscience, 113 papers in Radiology, Nuclear Medicine and Imaging and 43 papers in Statistics and Probability. Recurrent topics in Thomas E. Nichols's work include Functional Brain Connectivity Studies (158 papers), Advanced Neuroimaging Techniques and Applications (79 papers) and Advanced MRI Techniques and Applications (55 papers). Thomas E. Nichols is often cited by papers focused on Functional Brain Connectivity Studies (158 papers), Advanced Neuroimaging Techniques and Applications (79 papers) and Advanced MRI Techniques and Applications (55 papers). Thomas E. Nichols collaborates with scholars based in United Kingdom, United States and Germany. Thomas E. Nichols's co-authors include Stephen M. Smith, Andrew P. Holmes, Nicole A. Lazar, Christopher R. Genovese, Tor D. Wager, Russell A. Poldrack, Anders Eklund, Hans Knutsson, Anderson M. Winkler and Matthew Webster and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Thomas E. Nichols

314 papers receiving 49.0k citations

Hit Papers

Tract-based spatial statistics: Voxelwise analysis of mul... 2001 2026 2009 2017 2006 2001 2008 2002 2014 1000 2.0k 3.0k 4.0k 5.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data
    2006 5.3k citations Stephen M. Smith, Thomas E. Nichols et al. NeuroImage profile →
  2. Nonparametric permutation tests for functional neuroimaging: A primer with examples
    2001 5.1k citations Thomas E. Nichols et al. Human Brain Mapping profile →
  3. Threshold-free cluster enhancement: Addressing problems of smoothing, threshold dependence and localisation in cluster inference
    2008 4.1k citations Stephen M. Smith, Thomas E. Nichols NeuroImage profile →
  4. Thresholding of Statistical Maps in Functional Neuroimaging Using the False Discovery Rate
    2002 4.1k citations Thomas E. Nichols et al. NeuroImage profile →
  5. Permutation inference for the general linear model
    2014 2.5k citations Anderson M. Winkler, Stephen M. Smith et al. NeuroImage profile →
  6. Large-scale automated synthesis of human functional neuroimaging data
    2011 2.5k citations Thomas E. Nichols, Tor D. Wager et al. profile →
  7. Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates
    2016 2.5k citations Anders Eklund, Thomas E. Nichols et al. Proceedings of the National Academy of Sciences profile →
  8. Network modelling methods for FMRI
    2010 1.4k citations Stephen M. Smith, Karla L. Miller et al. NeuroImage profile →
  9. SARS-CoV-2 is associated with changes in brain structure in UK Biobank
    2022 912 citations Fidel Alfaro‐Almagro, Chaoyue Wang et al. profile →
  10. Controlling the familywise error rate in functional neuroimaging: a comparative review
    2003 891 citations Thomas E. Nichols et al. profile →
  11. Scanning the horizon: towards transparent and reproducible neuroimaging research
    2017 813 citations Paul M. Matthews, Thomas E. Nichols et al. profile →
  12. Functional connectomics from resting-state fMRI
    2013 683 citations Stephen M. Smith, Karla L. Miller et al. profile →
  13. Placebo Effects Mediated by Endogenous Opioid Activity on μ-Opioid Receptors
    2005 602 citations Thomas E. Nichols et al. profile →
  14. Nonstationary cluster-size inference with random field and permutation methods
    2004 595 citations Thomas E. Nichols et al. NeuroImage profile →
  15. Ten simple rules for neuroimaging meta-analysis
    2017 579 citations Angela R. Laird, Peter T. Fox et al. profile →
  16. A positive-negative mode of population covariation links brain connectivity, demographics and behavior
    2015 539 citations Stephen M. Smith, Thomas E. Nichols et al. Nature Neuroscience profile →
  17. Behavior, sensitivity, and power of activation likelihood estimation characterized by massive empirical simulation
    2016 527 citations Simon B. Eickhoff, Thomas E. Nichols et al. NeuroImage profile →
  18. Acquisition and voxelwise analysis of multi-subject diffusion data with Tract-Based Spatial Statistics
    2007 488 citations Stephen M. Smith, Thomas E. Nichols et al. profile →
  19. Best practices in data analysis and sharing in neuroimaging using MRI
    2017 412 citations Thomas E. Nichols, Simon B. Eickhoff et al. Nature Neuroscience profile →
  20. NeuroVault.org: a web-based repository for collecting and sharing unthresholded statistical maps of the human brain
    2015 379 citations Camille Maumet, Thomas E. Nichols et al. profile →
  21. Preventing Alzheimer’s disease-related gray matter atrophy by B-vitamin treatment
    2013 362 citations Thomas E. Nichols, Stephen M. Smith et al. Proceedings of the National Academy of Sciences profile →
  22. How patients with multiple sclerosis acquire disability
    2022 254 citations Fred Lublin, Dieter A. Häring et al. Brain profile →
  23. Estimation of brain age delta from brain imaging
    2019 230 citations Stephen M. Smith, Fidel Alfaro‐Almagro et al. NeuroImage profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Thomas E. Nichols United Kingdom 78 30.1k 16.4k 7.3k 5.9k 4.4k 335 49.7k
Christian F. Beckmann United Kingdom 81 48.2k 1.6× 25.7k 1.6× 7.8k 1.1× 7.2k 1.2× 4.7k 1.1× 268 66.3k
John Ashburner United Kingdom 83 33.8k 1.1× 20.3k 1.2× 11.7k 1.6× 5.1k 0.9× 5.9k 1.3× 195 60.8k
Mark W. Woolrich United Kingdom 68 32.1k 1.1× 22.0k 1.3× 4.8k 0.7× 4.2k 0.7× 4.2k 0.9× 234 49.9k
Heidi Johansen‐Berg United Kingdom 97 27.4k 0.9× 26.1k 1.6× 6.4k 0.9× 3.0k 0.5× 6.3k 1.4× 259 52.3k
Timothy E.J. Behrens United Kingdom 103 43.4k 1.4× 32.2k 2.0× 7.2k 1.0× 5.7k 1.0× 6.6k 1.5× 193 70.5k
Bruce R. Rosen United States 121 28.9k 1.0× 26.1k 1.6× 7.1k 1.0× 3.6k 0.6× 5.7k 1.3× 494 65.3k
Vince D. Calhoun United States 113 49.1k 1.6× 19.9k 1.2× 8.8k 1.2× 8.8k 1.5× 2.0k 0.5× 1.5k 63.4k
Abraham Z. Snyder United States 116 64.8k 2.2× 24.0k 1.5× 10.0k 1.4× 10.8k 1.8× 4.0k 0.9× 297 81.7k
Vinod Menon United States 99 46.0k 1.5× 11.4k 0.7× 9.0k 1.2× 11.1k 1.9× 2.1k 0.5× 268 58.3k
Godfrey D. Pearlson United States 109 29.7k 1.0× 13.2k 0.8× 13.1k 1.8× 6.3k 1.1× 2.8k 0.6× 695 46.8k

Countries citing papers authored by Thomas E. Nichols

Since Specialization
Citations

This map shows the geographic impact of Thomas E. Nichols's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Thomas E. Nichols with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas E. Nichols more than expected).

Fields of papers citing papers by Thomas E. Nichols

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas E. Nichols. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Thomas E. Nichols. The network helps show where Thomas E. Nichols may publish in the future.

Co-authorship network of co-authors of Thomas E. Nichols

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas E. Nichols. A scholar is included among the top collaborators of Thomas E. Nichols based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thomas E. Nichols. Thomas E. Nichols is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bärtl, Christoph, T. Krause, Lea Waller, et al.. (2025). The Ups and Downs of Brain Stress: Extending the Triple Network Hypothesis. Biological Psychiatry Cognitive Neuroscience and Neuroimaging.
2.
Pretorius, Pieter, Celeste McCracken, Thomas E. Nichols, et al.. (2025). From Big Data to the Clinic: Methodological and Statistical Enhancements to Implement the UK Biobank Imaging Framework in a Memory Clinic. Human Brain Mapping. 46(3). e70151–e70151.
3.
Nichols, Thomas E., et al.. (2025). Statistical inference for same data meta-analysis in neuroimaging multiverse analyzes. Imaging Neuroscience. 3.
4.
Nichols, Thomas E., et al.. (2024). BNPower: a power calculation tool for data-driven network analysis for whole-brain connectome data. Imaging Neuroscience. 2. 1 indexed citations
5.
McCracken, Celeste, Liliána Szabó, Hajnalka Vágó, et al.. (2024). Ventricular volume asymmetry as a novel imaging biomarker for disease discrimination and outcome prediction. European Heart Journal Open. 4(4). oeae059–oeae059. 1 indexed citations
6.
Topiwala, Anya, Kulveer Mankia, Steven Bell, et al.. (2023). Association of gout with brain reserve and vulnerability to neurodegenerative disease. Nature Communications. 14(1). 2844–2844. 16 indexed citations
7.
Mancini, Matteo, Agâh Karakuzu, Julien Cohen‐Adad, et al.. (2022). An interactive meta-analysis of MRI biomarkers of myelin. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
8.
Ryan, Meghann C., L. Elliot Hong, Kathryn S. Hatch, et al.. (2022). The additive impact of cardio‐metabolic disorders and psychiatric illnesses on accelerated brain aging. Human Brain Mapping. 43(6). 1997–2010. 13 indexed citations
9.
Lublin, Fred, Dieter A. Häring, Habib Ganjgahi, et al.. (2022). How patients with multiple sclerosis acquire disability. Brain. 145(9). 3147–3161. 254 indexed citations breakdown →
10.
Butler, Ellyn R., Andrew A. Chen, Trang T. Le, et al.. (2021). Pitfalls in brain age analyses. Human Brain Mapping. 42(13). 4092–4101. 57 indexed citations
11.
Chen, Xu, Elia Formisano, Gabriëlla A.M. Blokland, et al.. (2019). Accelerated estimation and permutation inference for ACE modeling. Human Brain Mapping. 40(12). 3488–3507. 14 indexed citations
12.
Maumet, Camille & Thomas E. Nichols. (2017). Generating and reporting peak and cluster tables for voxel-wise inference in FSL. SHILAP Revista de lepidopterología. 3. 2 indexed citations
13.
Kragel, Philip A., Michiko Kano, Lukas Van Oudenhove, et al.. (2017). Generalizable representations of pain, cognitive control, and negative emotion in medial frontal cortex. Nature Neuroscience. 21(2). 283–289. 171 indexed citations
14.
Eklund, Anders, Thomas E. Nichols, & Hans Knutsson. (2016). Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates. Proceedings of the National Academy of Sciences. 113(28). 7900–7905. 2482 indexed citations breakdown →
15.
Warnett, Jason M., Gregory J. Gibbons, Julia Brettschneider, et al.. (2016). Modelling the penumbra in Computed Tomography. Journal of X-Ray Science and Technology. 24(4). 583–597. 15 indexed citations
16.
Eickhoff, Simon B., Thomas E. Nichols, Angela R. Laird, et al.. (2016). Behavior, sensitivity, and power of activation likelihood estimation characterized by massive empirical simulation. NeuroImage. 137. 70–85. 527 indexed citations breakdown →
17.
Ridler, Khanum, Thomas E. Nichols, Philipp G. Saemann, et al.. (2011). Thyroid hormone transporter genes and grey matter changes in patients with major depressive disorder and healthy controls. Psychoneuroendocrinology. 36(6). 929–934. 7 indexed citations
18.
Inkster, Becky, Thomas E. Nichols, Philipp G. Saemann, et al.. (2010). Pathway-based approaches to imaging genetics association studies: Wnt signaling, GSK3beta substrates and major depression. NeuroImage. 53(3). 908–917. 58 indexed citations
19.
Comley, Robert A., Simon Červenka, Sven Pålhagen, et al.. (2010). A Comparison of Gray Matter Density in Restless Legs Syndrome Patients and Matched Controls Using Voxel‐Based Morphometry. Journal of Neuroimaging. 22(1). 28–32. 33 indexed citations
20.
Inkster, Becky, Thomas E. Nichols, Philipp G. Saemann, et al.. (2009). Association of GSK3β Polymorphisms With Brain Structural Changes in Major Depressive Disorder. Archives of General Psychiatry. 66(7). 721–721. 84 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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Breakdown of academic impact, for papers by Christian F. Beckmann Breakdown of academic impact, for papers by John Ashburner Breakdown of academic impact, for papers by Mark W. Woolrich Breakdown of academic impact, for papers by Heidi Johansen‐Berg Breakdown of academic impact, for papers by Timothy E.J. Behrens Breakdown of academic impact, for papers by Bruce R. Rosen Breakdown of academic impact, for papers by Vince D. Calhoun Breakdown of academic impact, for papers by Abraham Z. Snyder Breakdown of academic impact, for papers by Vinod Menon Breakdown of academic impact, for papers by Godfrey D. Pearlson
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