Jeremy E. Niven
- Cellular and Molecular Neuroscience top 1%
- Ecology, Evolution, Behavior and Systematics top 0.5%
- Cognitive Neuroscience top 2%
- Genetics top 2%
- Molecular Biology
- Co-authors
- Simon B. LaughlinLars ChıttkaBiswa SenguptaJohn C. AndersonJörn P. W. ScharlemannMartin StemmlerMikko JuusolaPeter Sterling
- Topics
- Neurobiology and Insect Physiology Research (34 papers)Insect and Arachnid Ecology and Behavior (25 papers)Animal Behavior and Reproduction (16 papers)
- Cited by
- Cellular and Molecular NeuroscienceEcology, Evolution, Behavior and SystematicsCognitive Neuroscience
- Journals
- NatureScienceJournal of Neuroscience
- Partner nations
- United KingdomPanamaUnited States
In The Last Decade
Jeremy E. Niven
76 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Cellular and Molecular Neuroscience 1.6k
- Ecology, Evolution, Behavior and Systematics 1.1k
- Cognitive Neuroscience 996
- Genetics 915
- Molecular Biology 626
Countries citing papers authored by Jeremy E. Niven
This map shows the geographic impact of Jeremy E. Niven'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 Jeremy E. Niven with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeremy E. Niven more than expected).
Fields of papers citing papers by Jeremy E. Niven
This network shows the impact of papers produced by Jeremy E. Niven. 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 Jeremy E. Niven. The network helps show where Jeremy E. Niven may publish in the future.
Co-authorship network of co-authors of Jeremy E. Niven
This figure shows the co-authorship network connecting the top 25 collaborators of Jeremy E. Niven. A scholar is included among the top collaborators of Jeremy E. Niven 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 Jeremy E. Niven. Jeremy E. Niven is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 19 | |
| 5 | 6 | |
| 6 | 12 | |
| 7 | 8 | |
| 8 | 4 | |
| 9 | 5 | |
| 10 | 4 | |
| 11 | 26 | |
| 12 | 274 | |
| 13 | 26 | |
| 14 | 71 | |
| 15 | Energetically Optimal Action Potentials | 8 |
| 16 | Adaptation reduces sensitivity to save energy without information loss in the fly visual system | 2 |
| 17 | 0 | |
| 18 | 195 | |
| 19 | 3 | |
| 20 | 70 |
About Jeremy E. Niven
Jeremy E. Niven is a scholar working on Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics and Cognitive Neuroscience, having authored 81 papers that have together received 3.7k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (34 papers), Insect and Arachnid Ecology and Behavior (25 papers) and Animal Behavior and Reproduction (16 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.6k citations), Ecology, Evolution, Behavior and Systematics (1.1k citations) and Cognitive Neuroscience (996 citations). Jeremy E. Niven has collaborated with scholars based in United Kingdom, Panama and United States. Frequent co-authors include Simon B. Laughlin, Lars Chıttka, Biswa Sengupta, John C. Anderson, Jörn P. W. Scharlemann, Martin Stemmler, Mikko Juusola, Peter Sterling, János A. Perge and Vijay Balasubramanian. Their work appears in journals such as Nature, Science and Journal of Neuroscience.
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.