J. Simpson

8.1k total citations · 3 hit papers
51 papers, 4.1k citations indexed

About

J. Simpson is a scholar working on Cellular and Molecular Neuroscience, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, J. Simpson has authored 51 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Cellular and Molecular Neuroscience, 19 papers in Genetics and 14 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in J. Simpson's work include Neurobiology and Insect Physiology Research (31 papers), Insect and Arachnid Ecology and Behavior (17 papers) and Animal Behavior and Reproduction (13 papers). J. Simpson is often cited by papers focused on Neurobiology and Insect Physiology Research (31 papers), Insect and Arachnid Ecology and Behavior (17 papers) and Animal Behavior and Reproduction (13 papers). J. Simpson collaborates with scholars based in United States, Australia and Canada. J. Simpson's co-authors include H. Y. Carr, Corey S. Goodman, K Bland, Eugene W. Myers, Fuhui Long, Zongcai Ruan, Thomas Kidd, Koen J. T. Venken, Hugo J. Bellen and Richard D. Fetter and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

J. Simpson

47 papers receiving 4.0k citations

Hit Papers

V3D enables real-time 3D visualization and quantitative a... 2010 2026 2015 2020 2010 2014 2015 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Simpson United States 25 2.5k 1.1k 910 691 551 51 4.1k
Aravinthan D. T. Samuel United States 49 2.6k 1.1× 974 0.9× 868 1.0× 539 0.8× 185 0.3× 94 6.5k
Trevor J. Wardill United States 19 3.3k 1.3× 1.6k 1.4× 456 0.5× 581 0.8× 713 1.3× 35 5.4k
Stefan R. Pulver United States 21 4.9k 2.0× 1.8k 1.6× 972 1.1× 559 0.8× 730 1.3× 45 7.1k
Rainer W. Friedrich Germany 43 3.5k 1.4× 1.4k 1.2× 296 0.3× 394 0.6× 412 0.7× 94 6.4k
Rex Kerr United States 24 3.6k 1.5× 2.4k 2.1× 567 0.6× 305 0.4× 901 1.6× 33 7.1k
Piali Sengupta United States 50 1.7k 0.7× 3.1k 2.8× 1.3k 1.4× 152 0.2× 493 0.9× 127 7.8k
Sreekanth H. Chalasani United States 23 1.9k 0.8× 1.1k 1.0× 268 0.3× 149 0.2× 296 0.5× 45 4.2k
Sabine L. Renninger Portugal 9 3.3k 1.3× 1.9k 1.7× 343 0.4× 198 0.3× 816 1.5× 12 5.4k
Ian A. Meinertzhagen Canada 60 6.6k 2.7× 4.3k 3.9× 1.5k 1.7× 1.3k 1.9× 360 0.7× 184 10.3k
Leonid L. Moroz United States 48 2.3k 0.9× 2.7k 2.4× 615 0.7× 1.2k 1.7× 128 0.2× 179 7.3k

Countries citing papers authored by J. Simpson

Since Specialization
Citations

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

Fields of papers citing papers by J. Simpson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Simpson

This figure shows the co-authorship network connecting the top 25 collaborators of J. Simpson. A scholar is included among the top collaborators of J. Simpson 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 J. Simpson. J. Simpson 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
2.
Tang, Paul S., et al.. (2024). Mechanosensory and command contributions to the Drosophila grooming sequence. Current Biology. 34(10). 2066–2076.e3.
3.
Guo, Li, et al.. (2022). Descending neurons coordinate anterior grooming behavior in Drosophila. Current Biology. 32(4). 823–833.e4. 22 indexed citations
4.
Mueller, Joshua, et al.. (2022). Variation and Variability in Drosophila Grooming Behavior. Frontiers in Behavioral Neuroscience. 15. 769372–769372. 7 indexed citations
5.
Simpson, J., et al.. (2022). A pair of commissural command neurons induces Drosophila wing grooming. iScience. 25(2). 103792–103792. 8 indexed citations
6.
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
7.
McKellar, Claire, Igor Siwanowicz, Barry J. Dickson, & J. Simpson. (2020). Controlling motor neurons of every muscle for fly proboscis reaching. eLife. 9. 21 indexed citations
8.
Gilder, Mary Ellen, J. Simpson, Germana Bancone, et al.. (2019). Evaluation of a treatment protocol for anaemia in pregnancy nested in routine antenatal care in a limited-resource setting. Global Health Action. 12(1). 1621589–1621589. 4 indexed citations
9.
McKellar, Claire, et al.. (2019). Threshold-Based Ordering of Sequential Actions during Drosophila Courtship. Current Biology. 29(3). 426–434.e6. 36 indexed citations
10.
Mueller, Joshua, Primoz Ravbar, J. Simpson, & Jean M. Carlson. (2019). Drosophila melanogaster grooming possesses syntax with distinct rules at different temporal scales. PLoS Computational Biology. 15(6). e1007105–e1007105. 21 indexed citations
11.
Kaun, Karla R., et al.. (2015). A Subset of Serotonergic Neurons Evokes Hunger in Adult Drosophila. Current Biology. 25(18). 2435–2440. 71 indexed citations
12.
Knapp, Jon-Michael, Phuong Chung, & J. Simpson. (2015). Generating Customized Transgene Landing Sites and Multi-Transgene Arrays in Drosophila Using phiC31 Integrase. Genetics. 199(4). 919–934. 18 indexed citations
13.
Ito, Kei, Kazunori Shinomiya, Masayoshi Ito, et al.. (2014). A Systematic Nomenclature for the Insect Brain. Neuron. 81(4). 755–765. 437 indexed citations breakdown →
14.
Chung, Phuong, Fuhui Long, Lei Qu, et al.. (2011). BrainAligner: 3D registration atlases of Drosophila brains. Nature Methods. 8(6). 493–498. 105 indexed citations
15.
Venken, Koen J. T., J. Simpson, & Hugo J. Bellen. (2011). Genetic Manipulation of Genes and Cells in the Nervous System of the Fruit Fly. Neuron. 72(2). 202–230. 304 indexed citations
16.
Hampel, Stefanie, Phuong Chung, Claire McKellar, et al.. (2011). Drosophila Brainbow: a recombinase-based fluorescence labeling technique to subdivide neural expression patterns. Nature Methods. 8(3). 253–259. 151 indexed citations
17.
Ruan, Zongcai, et al.. (2010). V3D enables real-time 3D visualization and quantitative analysis of large-scale biological image data sets. Nature Biotechnology. 28(4). 348–353. 507 indexed citations breakdown →
18.
Simpson, J.. (2009). Chapter 3 Mapping and Manipulating Neural Circuits in the Fly Brain. Advances in genetics. 65. 79–143. 73 indexed citations
19.
Simpson, J., Thomas Kidd, K Bland, & Corey S. Goodman. (2000). Short-Range and Long-Range Guidance by Slit and Its Robo Receptors. Neuron. 28(3). 753–766. 201 indexed citations
20.
Simpson, J.. (1955). On the thermal ionization of trapped electrons in ionic solids. Proceedings of the Royal Society of London A Mathematical and Physical Sciences. 231(1186). 308–320. 19 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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