John C Tuthill

3.4k total citations · 1 hit paper
34 papers, 1.5k citations indexed

About

John C Tuthill is a scholar working on Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics and Genetics. According to data from OpenAlex, John C Tuthill has authored 34 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cellular and Molecular Neuroscience, 16 papers in Ecology, Evolution, Behavior and Systematics and 13 papers in Genetics. Recurrent topics in John C Tuthill's work include Neurobiology and Insect Physiology Research (25 papers), Insect and Arachnid Ecology and Behavior (12 papers) and Animal Behavior and Reproduction (11 papers). John C Tuthill is often cited by papers focused on Neurobiology and Insect Physiology Research (25 papers), Insect and Arachnid Ecology and Behavior (12 papers) and Animal Behavior and Reproduction (11 papers). John C Tuthill collaborates with scholars based in United States, Germany and France. John C Tuthill's co-authors include Eiman Azim, Rachel I. Wilson, Michael B. Reiser, Gerald M. Rubin, Aljoscha Nern, Stephen L Holtz, Evyn S Dickinson, Akira Mamiya, Anthony W. Azevedo and Bingni W. Brunton and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

John C Tuthill

32 papers receiving 1.5k citations

Hit Papers

Proprioception 2018 2026 2020 2023 2018 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John C Tuthill United States 17 774 398 387 255 227 34 1.5k
Wyatt Korff United States 14 529 0.7× 272 0.7× 269 0.7× 168 0.7× 245 1.1× 18 1.3k
John A. Bender United States 13 594 0.8× 481 1.2× 609 1.6× 137 0.5× 140 0.6× 25 1.5k
Pavan P Ramdya Switzerland 19 878 1.1× 476 1.2× 323 0.8× 128 0.5× 353 1.6× 30 1.6k
Amir Ayali Israel 29 1.3k 1.7× 607 1.5× 528 1.4× 477 1.9× 282 1.2× 123 2.5k
Yoshichika Baba Japan 23 567 0.7× 274 0.7× 244 0.6× 261 1.0× 706 3.1× 47 2.1k
Gwyneth M Card United States 21 1.5k 1.9× 712 1.8× 803 2.1× 339 1.3× 280 1.2× 37 2.0k
Shigehiro Namiki Japan 23 1.1k 1.5× 596 1.5× 447 1.2× 198 0.8× 107 0.5× 44 1.3k
Damon A. Clark United States 31 1.5k 2.0× 424 1.1× 560 1.4× 613 2.4× 818 3.6× 68 3.3k
Hitoshi Aonuma Japan 23 989 1.3× 609 1.5× 665 1.7× 148 0.6× 130 0.6× 137 1.8k
Hans‐Joachim Pflüger Germany 30 1.5k 2.0× 800 2.0× 713 1.8× 257 1.0× 249 1.1× 78 2.2k

Countries citing papers authored by John C Tuthill

Since Specialization
Citations

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

Fields of papers citing papers by John C Tuthill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John C Tuthill. 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 John C Tuthill. The network helps show where John C Tuthill may publish in the future.

Co-authorship network of co-authors of John C Tuthill

This figure shows the co-authorship network connecting the top 25 collaborators of John C Tuthill. A scholar is included among the top collaborators of John C Tuthill 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 John C Tuthill. John C Tuthill 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.
Dallmann, Chris J., et al.. (2025). Divergent neural circuits for proprioceptive and exteroceptive sensing of the Drosophila leg. Nature Communications. 16(1). 4105–4105. 2 indexed citations
2.
Karashchuk, Pierre, et al.. (2025). Sensorimotor delays constrain robust locomotion in a 3D kinematic model of fly walking. eLife. 13. 1 indexed citations
3.
Dallmann, Chris J., Yichen Luo, Sweta Agrawal, et al.. (2025). Selective presynaptic inhibition of leg proprioception in behaving Drosophila. Nature. 647(8089). 445–453. 1 indexed citations
4.
Tuthill, John C, et al.. (2024). Miniature linear and split-belt treadmills reveal mechanisms of adaptive motor control in walking Drosophila. Current Biology. 34(19). 4368–4381.e5. 6 indexed citations
5.
Siwanowicz, Igor, Christina Christoforou, Karen L Hibbard, et al.. (2024). Motor neurons generate pose-targeted movements via proprioceptive sculpting. Nature. 628(8008). 596–603. 9 indexed citations
7.
Mamiya, Akira, Anne Sustar, Igor Siwanowicz, et al.. (2023). Biomechanical origins of proprioceptor feature selectivity and topographic maps in the Drosophila leg. Neuron. 111(20). 3230–3243.e14. 9 indexed citations
8.
Golding, Dominic, et al.. (2023). Snow flies self-amputate freezing limbs to sustain behavior at sub-zero temperatures. Current Biology. 33(21). 4549–4556.e3. 4 indexed citations
9.
Agrawal, Sweta & John C Tuthill. (2022). The two-body problem: Proprioception and motor control across the metamorphic divide. Current Opinion in Neurobiology. 74. 102546–102546. 4 indexed citations
10.
Phelps, Jasper S., David G. C. Hildebrand, Brett J. Graham, et al.. (2021). Reconstruction of motor control circuits in adult Drosophila using automated transmission electron microscopy. Cell. 184(3). 759–774.e18. 117 indexed citations
11.
Chen, Chenghao, Sweta Agrawal, Brandon Mark, et al.. (2021). Functional architecture of neural circuits for leg proprioception in Drosophila. Current Biology. 31(23). 5163–5175.e7. 17 indexed citations
12.
Dallmann, Chris J., Pierre Karashchuk, Bingni W. Brunton, & John C Tuthill. (2021). A leg to stand on: computational models of proprioception. Current Opinion in Physiology. 22. 100426–100426. 13 indexed citations
13.
Karashchuk, Pierre, Evyn S Dickinson, Sarah Walling-Bell, et al.. (2021). Anipose: A toolkit for robust markerless 3D pose estimation. Cell Reports. 36(13). 109730–109730. 136 indexed citations
14.
Kuan, Aaron T., Jasper S. Phelps, Logan A. Thomas, et al.. (2020). Dense neuronal reconstruction through X-ray holographic nano-tomography. Nature Neuroscience. 23(12). 1637–1643. 88 indexed citations
15.
Namiki, Shigehiro, J. Douglas Armstrong, Gwyneth M Card, et al.. (2020). A Systematic Nomenclature for the Drosophila Ventral Nerve Cord. Neuron. 107(6). 1071–1079.e2. 44 indexed citations
16.
Agrawal, Sweta, Evyn S Dickinson, Anne Sustar, et al.. (2020). Central processing of leg proprioception in Drosophila. eLife. 9. 35 indexed citations
17.
Mamiya, Akira, et al.. (2018). Neural Coding of Leg Proprioception in Drosophila. Neuron. 100(3). 636–650.e6. 73 indexed citations
18.
Tuthill, John C & Rachel I. Wilson. (2016). Parallel Transformation of Tactile Signals in Central Circuits of Drosophila. Cell. 164(5). 1046–1059. 68 indexed citations
19.
Tuthill, John C, Aljoscha Nern, Stephen L Holtz, Gerald M. Rubin, & Michael B. Reiser. (2013). Contributions of the 12 Neuron Classes in the Fly Lamina to Motion Vision. Neuron. 79(1). 128–140. 152 indexed citations
20.
Astrada, Martín Berón de, John C Tuthill, & Daniel Tomsic. (2009). Physiology and morphology of sustaining and dimming neurons of the crab Chasmagnathus granulatus (Brachyura: Grapsidae). Journal of Comparative Physiology A. 195(8). 791–798. 12 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

Rankless by CCL
2026