Jeffrey P. Sutton

2.5k total citations · 1 hit paper
49 papers, 1.6k citations indexed

About

Jeffrey P. Sutton is a scholar working on Cognitive Neuroscience, Physiology and Artificial Intelligence. According to data from OpenAlex, Jeffrey P. Sutton has authored 49 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 14 papers in Physiology and 8 papers in Artificial Intelligence. Recurrent topics in Jeffrey P. Sutton's work include Spaceflight effects on biology (14 papers), Neural dynamics and brain function (9 papers) and Neural Networks and Applications (8 papers). Jeffrey P. Sutton is often cited by papers focused on Spaceflight effects on biology (14 papers), Neural dynamics and brain function (9 papers) and Neural Networks and Applications (8 papers). Jeffrey P. Sutton collaborates with scholars based in United States, Canada and Australia. Jeffrey P. Sutton's co-authors include Gary Strangman, David A. Boas, Graham Scott, Jeffery C. Chancellor, Daniel J. Mollicone, Mathias Basner, Kevin Kan, Б. В. Моруков, Christopher Jones and Adrian J. Ecker and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and NeuroImage.

In The Last Decade

Jeffrey P. Sutton

48 papers receiving 1.6k citations

Hit Papers

Non-invasive neuroimaging using near-infrared light 2002 2026 2010 2018 2002 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey P. Sutton United States 14 664 443 423 364 229 49 1.6k
H. Michael Gach United States 26 966 1.5× 420 0.9× 533 1.3× 331 0.9× 246 1.1× 98 2.5k
J. Tilak Ratnanather United States 32 1.1k 1.6× 970 2.2× 260 0.6× 289 0.8× 47 0.2× 105 2.4k
Adam Q. Bauer United States 26 728 1.1× 860 1.9× 398 0.9× 581 1.6× 51 0.2× 97 2.9k
Thomas S. Denney United States 29 799 1.2× 389 0.9× 172 0.4× 277 0.8× 1.1k 4.7× 157 2.6k
M GROSSMAN United States 5 1.6k 2.4× 1.3k 3.0× 233 0.6× 332 0.9× 66 0.3× 9 3.7k
Franz Schmitt Germany 24 2.2k 3.4× 962 2.2× 153 0.4× 266 0.7× 136 0.6× 38 3.2k
Alexis Roche France 24 1.3k 1.9× 1.3k 2.9× 105 0.2× 242 0.7× 64 0.3× 76 3.4k
Alexander Egan United States 5 1.9k 2.9× 1.1k 2.5× 197 0.5× 286 0.8× 79 0.3× 6 4.0k
Yonggang Shi United States 30 1.6k 2.4× 743 1.7× 336 0.8× 344 0.9× 67 0.3× 141 3.3k
Reinhard Grebe France 24 589 0.9× 935 2.1× 143 0.3× 473 1.3× 244 1.1× 93 1.9k

Countries citing papers authored by Jeffrey P. Sutton

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey P. Sutton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey P. Sutton. 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 Jeffrey P. Sutton. The network helps show where Jeffrey P. Sutton may publish in the future.

Co-authorship network of co-authors of Jeffrey P. Sutton

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey P. Sutton. A scholar is included among the top collaborators of Jeffrey P. Sutton 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 Jeffrey P. Sutton. Jeffrey P. Sutton 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.
Clark, J. B., et al.. (2023). Neuropsychological considerations for long-duration deep spaceflight. Frontiers in Physiology. 14. 1146096–1146096. 9 indexed citations
2.
Keefe, Joshua A., et al.. (2022). Cardiac function, structural, and electrical remodeling by microgravity exposure. American Journal of Physiology-Heart and Circulatory Physiology. 324(1). H1–H13. 13 indexed citations
3.
Charles, John B., Mark Shelhamer, Tracy Johnson, et al.. (2018). Biomedical findings from NASA’s Project Mercury: a case series. npj Microgravity. 4(1). 6–6. 12 indexed citations
4.
Respress, Jonathan L., П. М. Гершович, Tiannan Wang, et al.. (2014). Long-term simulated microgravity causes cardiac RyR2 phosphorylation and arrhythmias in mice. International Journal of Cardiology. 176(3). 994–1000. 22 indexed citations
5.
Basner, Mathias, David F. Dinges, Daniel J. Mollicone, et al.. (2014). Psychological and Behavioral Changes during Confinement in a 520-Day Simulated Interplanetary Mission to Mars. PLoS ONE. 9(3). e93298–e93298. 130 indexed citations
6.
Basner, Mathias, David F. Dinges, Daniel J. Mollicone, et al.. (2013). Mars 520-d mission simulation reveals protracted crew hypokinesis and alterations of sleep duration and timing. Proceedings of the National Academy of Sciences. 110(7). 2635–2640. 104 indexed citations
7.
Clark, J. B., et al.. (2013). Intracranial Pressure and Optic Nerve Sheath Diameter as Cephalic Venous Pressure Increases in Swine. Aviation Space and Environmental Medicine. 84(9). 946–951. 9 indexed citations
8.
Antonsen, Erik, Kurt H. Bockhorst, R. Blaine Easley, et al.. (2013). Optic Nerve Sheath Diameter Measurement Techniques: Examination Using a Novel Ex-Vivo Porcine Model. Aviation Space and Environmental Medicine. 85(1). 50–54. 4 indexed citations
9.
Bass, Elisa C., William H. Nau, Chris J. Diederich, et al.. (2006). Intradiscal Thermal Therapy Does Not Stimulate Biologic Remodeling in an In Vivo Sheep Model. Spine. 31(2). 139–145. 9 indexed citations
10.
Strangman, Gary, et al.. (2006). Functional brain imaging of a complex navigation task following one night of total sleep deprivation. 1 indexed citations
11.
Strangman, Gary, et al.. (2005). Functional brain imaging of a complex navigation task following one night of total sleep deprivation: a preliminary study. Journal of Sleep Research. 14(4). 369–375. 21 indexed citations
12.
Mortimer, A.J., et al.. (2004). Life science research in space brings health on Earth. Acta Astronautica. 54(11-12). 805–812. 5 indexed citations
13.
Sutton, Jeffrey P., et al.. (2002). Reconfigurable Networking for Coordinated Multi-Agent Sensing and Communications.. 36–39. 1 indexed citations
14.
Soller, Babs R., Marco E. Cabrera, Scott M. Smith, & Jeffrey P. Sutton. (2002). Smart medical systems with application to nutrition and fitness in space. Nutrition. 18(10). 930–936. 13 indexed citations
15.
Strangman, Gary, David A. Boas, & Jeffrey P. Sutton. (2002). Non-invasive neuroimaging using near-infrared light. Biological Psychiatry. 52(7). 679–693. 664 indexed citations breakdown →
16.
Sutton, Jeffrey P. & John J. Ratey. (1998). Beyond the Project: It's About Time. Annals of the New York Academy of Sciences. 843(1). 179–184. 5 indexed citations
17.
Caplan, Jeremy B., Peter A. Bandettini, & Jeffrey P. Sutton. (1997). Weight-space mapping of FMRI motor tasks: evidence for nested neural networks. 585–589. 3 indexed citations
18.
Guan, Ling, et al.. (1997). A network of networks processing model for image regularization. IEEE Transactions on Neural Networks. 8(1). 169–174. 22 indexed citations
19.
Sutton, Jeffrey P., Adam N. Mamelak, & J. Allan Hobson. (1991). Network Model of State-Dependent Sequencing. Neural Information Processing Systems. 4. 283–290. 5 indexed citations
20.
Hobson, J. Allan, Adam N. Mamelak, & Jeffrey P. Sutton. (1991). Models Wanted: Must Fit Dimensions of Sleep and Dreaming. Neural Information Processing Systems. 4. 3–10. 2 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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