Martin A. Lindquist

16.5k total citations · 3 hit papers
150 papers, 10.3k citations indexed

About

Martin A. Lindquist is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Experimental and Cognitive Psychology. According to data from OpenAlex, Martin A. Lindquist has authored 150 papers receiving a total of 10.3k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Cognitive Neuroscience, 56 papers in Radiology, Nuclear Medicine and Imaging and 22 papers in Experimental and Cognitive Psychology. Recurrent topics in Martin A. Lindquist's work include Functional Brain Connectivity Studies (87 papers), Advanced MRI Techniques and Applications (36 papers) and Advanced Neuroimaging Techniques and Applications (31 papers). Martin A. Lindquist is often cited by papers focused on Functional Brain Connectivity Studies (87 papers), Advanced MRI Techniques and Applications (36 papers) and Advanced Neuroimaging Techniques and Applications (31 papers). Martin A. Lindquist collaborates with scholars based in United States, Canada and United Kingdom. Martin A. Lindquist's co-authors include Tor D. Wager, Lauren Y. Atlas, Choong‐Wan Woo, Brent Hughes, Matthew Davidson, Kevin N. Ochsner, Ethan Kross, Mathieu Roy, Luke J. Chang and Brian Caffo and has published in prestigious journals such as New England Journal of Medicine, Nature Communications and Neuron.

In The Last Decade

Martin A. Lindquist

144 papers receiving 10.1k citations

Hit Papers

Prefrontal-Subcortical Pathways Mediating Successful Emot... 2008 2026 2014 2020 2008 2013 2017 400 800 1.2k
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. Prefrontal-Subcortical Pathways Mediating Successful Emotion Regulation
    2008 1.3k citations Tor D. Wager, Martin A. Lindquist et al. profile →
  2. An fMRI-Based Neurologic Signature of Physical Pain
    2013 1.1k citations Tor D. Wager, Martin A. Lindquist et al. profile →
  3. Building better biomarkers: brain models in translational neuroimaging
    2017 638 citations Choong‐Wan Woo, Luke J. Chang et al. Nature Neuroscience profile →

Peers

Martin A. Lindquist
Paul J. Laurienti United States
Jonathan H. Burdette United States
Dardo Tomasi United States
Martin Walter Germany
Joseph A. Maldjian United States
Peter Fransson Sweden
Dimitri Papathanassiou France
Gary F. Egan Australia
Kevin Murphy United Kingdom
Nicolas Delcroix France
Paul J. Laurienti United States
Martin A. Lindquist
Citations per year, relative to Martin A. Lindquist Martin A. Lindquist (= 1×) peers Paul J. Laurienti

Countries citing papers authored by Martin A. Lindquist

Since Specialization
Citations

This map shows the geographic impact of Martin A. Lindquist'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 Martin A. Lindquist with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin A. Lindquist more than expected).

Fields of papers citing papers by Martin A. Lindquist

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin A. Lindquist. 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 Martin A. Lindquist. The network helps show where Martin A. Lindquist may publish in the future.

Co-authorship network of co-authors of Martin A. Lindquist

This figure shows the co-authorship network connecting the top 25 collaborators of Martin A. Lindquist. A scholar is included among the top collaborators of Martin A. Lindquist 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 Martin A. Lindquist. Martin A. Lindquist 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.
Banerjee, Sudipto, et al.. (2025). Graph-constrained analysis for multivariate functional data. Journal of Multivariate Analysis. 207. 105428–105428.
2.
Adams, Meredith C B, Carla Bann, Emine O. Bayman, et al.. (2025). Building community through data: the value of a researcher driven open science ecosystem. Pain Medicine. 26(6). 295–298. 4 indexed citations
3.
Botvinik‐Nezer, Rotem, Bogdan Petre, Marta Čeko, et al.. (2024). Placebo treatment affects brain systems related to affective and cognitive processes, but not nociceptive pain. Nature Communications. 15(1). 6017–6017. 10 indexed citations
4.
Farahani, Farzad V., Cristina Sadowsky, Haris I. Sair, et al.. (2024). Brain Network Alterations in Chronic Spinal Cord Injury: Multilayer Community Detection Approach. SHILAP Revista de lepidopterología. 5(1). 1048–1059.
5.
Stewart, Brent W., Michael L. Keaser, Massieh Moayedi, et al.. (2024). Pathological claustrum activity drives aberrant cognitive network processing in human chronic pain. Current Biology. 34(9). 1953–1966.e6. 8 indexed citations
6.
Bogaerts, Katleen, Maaike Van Den Houte, Huynh Giao Ly, et al.. (2023). Brain mediators of negative affect-induced physical symptom reporting in patients with functional somatic syndromes. Translational Psychiatry. 13(1). 285–285. 5 indexed citations
7.
Zorina-Lichtenwalter, Katerina, Lukas Van Oudenhove, Marta Čeko, et al.. (2023). Genetic risk shared across 24 chronic pain conditions: identification and characterization with genomic structural equation modeling. Pain. 164(10). 2239–2252. 32 indexed citations
8.
Andrews‐Hanna, Jessica R., Hedwig Eisenbarth, Martin A. Lindquist, et al.. (2023). A dorsomedial prefrontal cortex-based dynamic functional connectivity model of rumination. Nature Communications. 14(1). 3540–3540. 26 indexed citations
9.
Nath, Tanmay, Brian Caffo, Tor D. Wager, & Martin A. Lindquist. (2022). A machine learning based approach towards high-dimensional mediation analysis. NeuroImage. 268. 119843–119843. 11 indexed citations
10.
Jalilianhasanpour, Rozita, Martin A. Lindquist, Brian Caffo, et al.. (2021). Identification of the Somatomotor Network from Language Task–based fMRI Compared with Resting-State fMRI in Patients with Brain Lesions. Radiology. 301(1). 178–184. 10 indexed citations
11.
Lindquist, Martin A., et al.. (2019). Neuroimaging-based biomarkers for pain: state of the field and current directions. PAIN Reports. 4(4). e751–e751. 91 indexed citations
12.
Gritsenko, Andrey, Martin A. Lindquist, Gregory R. Kirk, & Moo K. Chung. (2018). Hill Climbing Optimized Twin Classification Using Resting-State Functional MRI.. arXiv (Cornell University). 2 indexed citations
13.
Woo, Choong‐Wan, Luke J. Chang, Martin A. Lindquist, & Tor D. Wager. (2017). Building better biomarkers: brain models in translational neuroimaging. Nature Neuroscience. 20(3). 365–377. 638 indexed citations breakdown →
14.
15.
Yahyavi‐Firouz‐Abadi, Noushin, Jay J. Pillai, Martin A. Lindquist, et al.. (2017). Presurgical Brain Mapping of the Ventral Somatomotor Network in Patients with Brain Tumors Using Resting-State fMRI. American Journal of Neuroradiology. 38(5). 1006–1012. 18 indexed citations
16.
Ammann, Claudia, Martin A. Lindquist, & Pablo Celnik. (2017). Response variability of different anodal transcranial direct current stimulation intensities across multiple sessions. Brain stimulation. 10(4). 757–763. 81 indexed citations
17.
Agarwal, Shruti, Haris I. Sair, Raag D. Airan, et al.. (2016). Demonstration of Brain Tumor-Induced Neurovascular Uncoupling in Resting-State fMRI at Ultrahigh Field. Brain Connectivity. 6(4). 267–272. 30 indexed citations
18.
Lindquist, Martin A., et al.. (2008). THE ACQUISITION AND STATISTICAL ANALYSIS OF RAPID 3D FMRI DATA. Statistica Sinica. 18(4). 1395–1419. 8 indexed citations
19.
Loh, Ji Meng, Martin A. Lindquist, & Tor D. Wager. (2008). RESIDUAL ANALYSIS FOR DETECTING MIS-MODELING IN fMRI. Statistica Sinica. 18(4). 1421–1448. 18 indexed citations
20.
Yacoub, Essa, Timothy Q. Duong, Pierre‐François Van de Moortele, et al.. (2003). Spin‐echo fMRI in humans using high spatial resolutions and high magnetic fields. Magnetic Resonance in Medicine. 49(4). 655–664. 226 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Paul J. Laurienti Breakdown of academic impact, for papers by Jonathan H. Burdette Breakdown of academic impact, for papers by Dardo Tomasi Breakdown of academic impact, for papers by Martin Walter Breakdown of academic impact, for papers by Joseph A. Maldjian Breakdown of academic impact, for papers by Peter Fransson Breakdown of academic impact, for papers by Dimitri Papathanassiou Breakdown of academic impact, for papers by Gary F. Egan Breakdown of academic impact, for papers by Kevin Murphy Breakdown of academic impact, for papers by Nicolas Delcroix
Rankless by CCL
2026