J. Simpson
Impact in
- Cellular and Molecular Neuroscience top 0.5%
- Neurobiology and Insect Physiology Research
- Axon Guidance and Neuronal Signaling
- Biophysics top 0.5%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
Papers in
-
- Neurobiology and Insect Physiology Research 31
- Axon Guidance and Neuronal Signaling 4
- Photoreceptor and optogenetics research 3
-
- Animal Behavior and Reproduction 13
- Co-authors
- H. Y. CarrCorey S. GoodmanK BlandEugene W. MyersFuhui LongZongcai RuanThomas KiddKoen J. T. Venken
- Journals
- Current Biology (5 papers)Neuron (4 papers)eLife (4 papers)Genetics (3 papers)Cell (2 papers)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
J. Simpson
47 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Cellular and Molecular Neuroscience 2.5k
- Biophysics 551
- Aging 134
- Developmental Neuroscience 212
- Structural Biology 51
Countries citing papers authored by J. Simpson
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
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
The 25 scholars most cited alongside J. Simpson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2022 | 22 | |
| 4 | 2022 | 7 | |
| 5 | 2022 | 8 | |
| 6 | 2020 | 44 | |
| 7 | 2020 | 21 | |
| 8 | 2019 | 4 | |
| 9 | 2019 | 36 | |
| 10 | 2019 | 21 | |
| 11 | 2015 | 71 | |
| 12 | 2015 | 18 | |
| 13 | A Systematic Nomenclature for the Insect Brain Hit paper breakdown → | 2014 | 437 |
| 14 | 2011 | 105 | |
| 15 | 2011 | 304 | |
| 16 | 2011 | 151 | |
| 17 | V3D enables real-time 3D visualization and quantitative analysis of large-scale biological image data sets Hit paper breakdown → | 2010 | 507 |
| 18 | 2009 | 73 | |
| 19 | 2000 | 201 | |
| 20 | 1955 | 19 |
About J. Simpson
J. Simpson is a scholar working on Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics, Genetics, Aging and Insect Science, having authored 51 papers that have together received 4.1k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (31 papers), Insect and Arachnid Ecology and Behavior (17 papers), Animal Behavior and Reproduction (13 papers), Physiological and biochemical adaptations (5 papers), Invertebrate Immune Response Mechanisms (4 papers), Axon Guidance and Neuronal Signaling (4 papers), Photoreceptor and optogenetics research (3 papers) and Force Microscopy Techniques and Applications (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.5k citations), Biophysics (551 citations), Aging (134 citations), Developmental Neuroscience (212 citations) and Structural Biology (51 citations). J. Simpson has collaborated with scholars based in United States, Australia and Canada. Frequent 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. Their work appears in journals such as Current Biology, Neuron, eLife, Genetics and Cell.
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.