David J. Schaeffer

1.7k total citations
57 papers, 1.1k citations indexed

About

David J. Schaeffer is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, David J. Schaeffer has authored 57 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Cognitive Neuroscience, 22 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Psychiatry and Mental health. Recurrent topics in David J. Schaeffer's work include Functional Brain Connectivity Studies (29 papers), Neural dynamics and brain function (22 papers) and Advanced Neuroimaging Techniques and Applications (16 papers). David J. Schaeffer is often cited by papers focused on Functional Brain Connectivity Studies (29 papers), Neural dynamics and brain function (22 papers) and Advanced Neuroimaging Techniques and Applications (16 papers). David J. Schaeffer collaborates with scholars based in United States, Canada and Brazil. David J. Schaeffer's co-authors include Stefan Everling, Ravi S. Menon, Joseph S. Gati, Kyle M. Gilbert, Yuki Hori, Jennifer E. McDowell, Cynthia E. Krafft, Jordan E. Pierce, Amanda Rodrigue and Lauren K. Hayrynen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

David J. Schaeffer

53 papers receiving 1.1k citations

Peers

David J. Schaeffer
Emi Saliasi Netherlands
Sharna D. Jamadar Australia
Scott Mackey United States
Kristen A. Lindgren United States
Karen Blackmon United States
Nina P. Azari United States
David Gasston United Kingdom
Allan L. Reiss United States
C. H. Salmond United Kingdom
Elisabeth Wenger Germany
Emi Saliasi Netherlands
David J. Schaeffer
Citations per year, relative to David J. Schaeffer David J. Schaeffer (= 1×) peers Emi Saliasi

Countries citing papers authored by David J. Schaeffer

Since Specialization
Citations

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

Fields of papers citing papers by David J. Schaeffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Schaeffer. 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 David J. Schaeffer. The network helps show where David J. Schaeffer may publish in the future.

Co-authorship network of co-authors of David J. Schaeffer

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Schaeffer. A scholar is included among the top collaborators of David J. Schaeffer 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 David J. Schaeffer. David J. Schaeffer 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.
Newton, Taylor, David J. Schaeffer, Christi L. Kolarcik, et al.. (2025). SpIC3D imaging for spinal in situ contrast 3D visualization. Cell Reports Methods. 5(10). 101202–101202.
2.
Wang, Qiaochu, Xu Zou, Dana Tudorascu, et al.. (2025). Analysis of functional connectivity changes from childhood to old age: A study using HCP-D, HCP-YA, and HCP-A datasets. Imaging Neuroscience. 3.
3.
Szczupak, Diego, Bei Zhang, Daniel Papoti, et al.. (2024). MRI Assessment of Healthy Aging Trajectories in the Marmoset Brain. Alzheimer s & Dementia. 20(S2).
4.
Papoti, Daniel, Diego Szczupak, Khallil Taverna Chaim, et al.. (2023). Segmented solenoid RF coils for MRI of ex vivo brain samples at ultra-high field preclinical and clinical scanners. SHILAP Revista de lepidopterología. 16-17. 100103–100103. 2 indexed citations
5.
Szczupak, Diego, David J. Schaeffer, Xiaoguang Tian, et al.. (2023). Direct interhemispheric cortical communication via thalamic commissures: a new white matter pathway in the primate brain. Cerebral Cortex. 34(1). 3 indexed citations
6.
Rizzo, Stacey J. Sukoff, Gregg E. Homanics, David J. Schaeffer, et al.. (2023). Bridging the rodent to human translational gap: Marmosets as model systems for the study of Alzheimer's disease. Alzheimer s & Dementia Translational Research & Clinical Interventions. 9(3). e12417–e12417. 19 indexed citations
7.
8.
Hori, Yuki, Justine Cléry, David J. Schaeffer, Ravi S. Menon, & Stefan Everling. (2021). Functional Organization of Frontoparietal Cortex in the Marmoset Investigated with Awake Resting-State fMRI. Cerebral Cortex. 32(9). 1965–1977. 2 indexed citations
9.
Selvanayagam, Janahan, et al.. (2021). Ketamine disrupts gaze patterns during face viewing in the common marmoset. Journal of Neurophysiology. 126(1). 330–339. 5 indexed citations
10.
Hori, Yuki, Justine Cléry, Janahan Selvanayagam, et al.. (2021). Interspecies activation correlations reveal functional correspondences between marmoset and human brain areas. Proceedings of the National Academy of Sciences. 118(37). 28 indexed citations
11.
Schaeffer, David J., et al.. (2021). Structural alterations in cortical and thalamocortical white matter tracts after recovery from prefrontal cortex lesions in macaques. NeuroImage. 232. 117919–117919. 2 indexed citations
12.
Cléry, Justine, Yuki Hori, David J. Schaeffer, Ravi S. Menon, & Stefan Everling. (2021). Neural network of social interaction observation in marmosets. eLife. 10. 20 indexed citations
13.
Sharma, Saloni, David J. Schaeffer, Kasper Vinken, Stefan Everling, & Koen Nelissen. (2020). Intrinsic functional clustering of ventral premotor F5 in the macaque brain. NeuroImage. 227. 117647–117647. 3 indexed citations
14.
Cléry, Justine, David J. Schaeffer, Yuki Hori, et al.. (2020). Looming and receding visual networks in awake marmosets investigated with fMRI. NeuroImage. 215. 116815–116815. 26 indexed citations
15.
Cléry, Justine, Yuki Hori, David J. Schaeffer, et al.. (2020). Whole brain mapping of somatosensory responses in awake marmosets investigated with ultra-high-field fMRI. Journal of Neurophysiology. 124(6). 1900–1913. 10 indexed citations
16.
Johnston, Kevin, et al.. (2018). Methods for chair restraint and training of the common marmoset on oculomotor tasks. Journal of Neurophysiology. 119(5). 1636–1646. 41 indexed citations
17.
Schaeffer, David J., Kyle M. Gilbert, Joseph S. Gati, Ravi S. Menon, & Stefan Everling. (2018). Intrinsic Functional Boundaries of Lateral Frontal Cortex in the Common Marmoset Monkey. Journal of Neuroscience. 39(6). 1020–1029. 23 indexed citations
18.
Gilbert, Kyle M., David J. Schaeffer, Joseph S. Gati, et al.. (2018). Open-source hardware designs for MRI of mice, rats, and marmosets: Integrated animal holders and radiofrequency coils. Journal of Neuroscience Methods. 312. 65–72. 21 indexed citations
19.
Gilbert, Kyle M., Joseph S. Gati, L. Martyn Klassen, et al.. (2017). A geometrically adjustable receive array for imaging marmoset cohorts. NeuroImage. 156. 78–86. 16 indexed citations
20.
Krafft, Cynthia E., David J. Schaeffer, Nicolette F. Schwarz, et al.. (2014). Improved Frontoparietal White Matter Integrity in Overweight Children Is Associated with Attendance at an After-School Exercise Program. Developmental Neuroscience. 36(1). 1–9. 82 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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