Jesse D. Marshall

2.9k total citations · 1 hit paper
19 papers, 1.9k citations indexed

About

Jesse D. Marshall is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Cell Biology. According to data from OpenAlex, Jesse D. Marshall has authored 19 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 7 papers in Cognitive Neuroscience and 4 papers in Cell Biology. Recurrent topics in Jesse D. Marshall's work include Neural dynamics and brain function (5 papers), Zebrafish Biomedical Research Applications (4 papers) and Photoreceptor and optogenetics research (3 papers). Jesse D. Marshall is often cited by papers focused on Neural dynamics and brain function (5 papers), Zebrafish Biomedical Research Applications (4 papers) and Photoreceptor and optogenetics research (3 papers). Jesse D. Marshall collaborates with scholars based in United States, Switzerland and United Kingdom. Jesse D. Marshall's co-authors include Mark J. Schnitzer, Yiyang Gong, François St-Pierre, Michael Z. Lin, Ying Yang, Amy Lam, Roger Y. Tsien, Michael R. McKeown, Jörg Wiedenmann and Paula J. Cranfill and has published in prestigious journals such as Nature, Cell and Neuron.

In The Last Decade

Jesse D. Marshall

19 papers receiving 1.8k citations

Hit Papers

Improving FRET dynamic range with bright green and red fl... 2012 2026 2016 2021 2012 100 200 300 400 500
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. Improving FRET dynamic range with bright green and red fluorescent proteins
    2012 591 citations Amy Lam, François St-Pierre et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jesse D. Marshall United States 14 873 650 554 354 200 19 1.9k
Daniel R. Berger United States 19 803 0.9× 1.1k 1.7× 570 1.0× 375 1.1× 134 0.7× 41 2.8k
Ju Lu United States 23 1.1k 1.3× 1.1k 1.7× 627 1.1× 782 2.2× 265 1.3× 62 3.2k
Brian E. Chen Canada 10 1.2k 1.4× 675 1.0× 617 1.1× 202 0.6× 187 0.9× 20 2.0k
Boaz Mohar United States 13 1.2k 1.3× 642 1.0× 638 1.2× 509 1.4× 122 0.6× 15 2.1k
Kenneth J. Hayworth United States 15 559 0.6× 669 1.0× 379 0.7× 312 0.9× 343 1.7× 30 2.0k
Andrew Gordus United States 19 1.1k 1.3× 1.6k 2.4× 413 0.7× 335 0.9× 169 0.8× 29 3.2k
Marco Dal Maschio Italy 21 923 1.1× 497 0.8× 592 1.1× 202 0.6× 458 2.3× 48 1.8k
Christel Genoud Switzerland 30 1.0k 1.2× 1.7k 2.6× 512 0.9× 290 0.8× 301 1.5× 57 3.3k
K. V. Anokhin Russia 24 727 0.8× 552 0.8× 434 0.8× 307 0.9× 75 0.4× 136 2.0k
Tara Keck United Kingdom 16 1.5k 1.7× 589 0.9× 1.2k 2.1× 349 1.0× 119 0.6× 20 2.5k

Countries citing papers authored by Jesse D. Marshall

Since Specialization
Citations

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

Fields of papers citing papers by Jesse D. Marshall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jesse D. Marshall. 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 Jesse D. Marshall. The network helps show where Jesse D. Marshall may publish in the future.

Co-authorship network of co-authors of Jesse D. Marshall

This figure shows the co-authorship network connecting the top 25 collaborators of Jesse D. Marshall. A scholar is included among the top collaborators of Jesse D. Marshall 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 Jesse D. Marshall. Jesse D. Marshall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Hardcastle, Kiah, et al.. (2025). Differential kinematic coding in sensorimotor striatum across behavioral domains reflects different contributions to movement. Nature Neuroscience. 28(9). 1932–1945. 1 indexed citations
2.
Aldarondo, Diego, Josh Merel, Jesse D. Marshall, et al.. (2024). A virtual rodent predicts the structure of neural activity across behaviours. Nature. 632(8025). 594–602. 20 indexed citations
3.
Cai, Yujun, Nathan Danielson, Shangchen Han, et al.. (2024). emg2pose: A Large and Diverse Benchmark for Surface Electromyographic Hand Pose Estimation. 55703–55728. 1 indexed citations
4.
Marshall, Jesse D., et al.. (2022). Leaving flatland: Advances in 3D behavioral measurement. Current Opinion in Neurobiology. 73. 102522–102522. 22 indexed citations
5.
Marshall, Jesse D., et al.. (2021). Animal pose estimation from video data with a hierarchical von Mises-Fisher-Gaussian model.. International Conference on Artificial Intelligence and Statistics. 2800–2808. 11 indexed citations
6.
Dunn, Timothy, Jesse D. Marshall, Kyle S. Severson, et al.. (2021). Geometric deep learning enables 3D kinematic profiling across species and environments. Nature Methods. 18(5). 564–573. 111 indexed citations
7.
Marshall, Jesse D., et al.. (2021). The PAIR-R24M Dataset for Multi-animal 3D Pose Estimation. bioRxiv (Cold Spring Harbor Laboratory). 1 indexed citations
8.
Marshall, Jesse D., Diego Aldarondo, Timothy Dunn, et al.. (2020). Continuous Whole-Body 3D Kinematic Recordings across the Rodent Behavioral Repertoire. Neuron. 109(3). 420–437.e8. 74 indexed citations
9.
Cho, Kathleen K.A., Thomas J. Davidson, Guy Bouvier, et al.. (2020). Cross-hemispheric gamma synchrony between prefrontal parvalbumin interneurons supports behavioral adaptation during rule shift learning. Nature Neuroscience. 23(7). 892–902. 54 indexed citations
10.
Parker, Jones G., Jesse D. Marshall, Biafra Ahanonu, et al.. (2018). Diametric neural ensemble dynamics in parkinsonian and dyskinetic states. Nature. 557(7704). 177–182. 210 indexed citations
11.
Grewe, Benjamin F., Jan Gründemann, Lacey Kitch, et al.. (2017). Neural ensemble dynamics underlying a long-term associative memory. Nature. 543(7647). 670–675. 217 indexed citations
12.
Marshall, Jesse D., Jin Zhong Li, Yanping Zhang, et al.. (2016). Cell-Type-Specific Optical Recording of Membrane Voltage Dynamics in Freely Moving Mice. Cell. 167(6). 1650–1662.e15. 71 indexed citations
13.
St-Pierre, François, Jesse D. Marshall, Ying Yang, et al.. (2014). High-fidelity optical reporting of neuronal electrical activity with an ultrafast fluorescent voltage sensor. Nature Neuroscience. 17(6). 884–889. 316 indexed citations
14.
Lam, Amy, François St-Pierre, Yiyang Gong, et al.. (2013). Improving FRET Dynamic Range with Bright Green and Red Fluorescent Proteins. Biophysical Journal. 104(2). 683a–683a. 13 indexed citations
15.
Marshall, Jesse D. & Mark J. Schnitzer. (2013). Optical Strategies for Sensing Neuronal Voltage Using Quantum Dots and Other Semiconductor Nanocrystals. ACS Nano. 7(5). 4601–4609. 70 indexed citations
16.
Lam, Amy, François St-Pierre, Yiyang Gong, et al.. (2012). Improving FRET dynamic range with bright green and red fluorescent proteins. Nature Methods. 9(10). 1005–1012. 591 indexed citations breakdown →
17.
Marshall, Jesse D. & J.D. Meindl. (1988). An analytical two-dimensional model for silicon MESFETs. IEEE Transactions on Electron Devices. 35(3). 373–383. 42 indexed citations
18.
Marshall, Jesse D. & J.D. Meindl. (1988). A sub- and near-threshold current model for silicon MESFETs. IEEE Transactions on Electron Devices. 35(3). 388–390. 12 indexed citations
19.
Hellman, F., et al.. (1981). A silicon on sapphire thermometer for small sample low temperature calorimetry. Physica B+C. 107(1-3). 327–328. 18 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 Daniel R. Berger Breakdown of academic impact, for papers by Ju Lu Breakdown of academic impact, for papers by Brian E. Chen Breakdown of academic impact, for papers by Boaz Mohar Breakdown of academic impact, for papers by Kenneth J. Hayworth Breakdown of academic impact, for papers by Andrew Gordus Breakdown of academic impact, for papers by Marco Dal Maschio Breakdown of academic impact, for papers by Christel Genoud Breakdown of academic impact, for papers by K. V. Anokhin Breakdown of academic impact, for papers by Tara Keck
Rankless by CCL
2026