John C Tuthill
- Cellular and Molecular Neuroscience top 2%
- Genetics top 5%
- Ecology, Evolution, Behavior and Systematics top 2%
- Cognitive Neuroscience top 10%
- Molecular Biology
- Co-authors
- Eiman AzimRachel I. WilsonMichael B. ReiserGerald M. RubinAljoscha NernStephen L HoltzEvyn S DickinsonAkira Mamiya
- Topics
- Neurobiology and Insect Physiology Research (25 papers)Insect and Arachnid Ecology and Behavior (12 papers)Animal Behavior and Reproduction (11 papers)
- Cited by
- Structural BiologyCellular and Molecular NeuroscienceEcology, Evolution, Behavior and Systematics
- Partner nations
- United StatesGermanyFrance
In The Last Decade
John C Tuthill
32 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Cellular and Molecular Neuroscience 774
- Genetics 398
- Ecology, Evolution, Behavior and Systematics 387
- Cognitive Neuroscience 255
- Molecular Biology 227
Countries citing papers authored by John C Tuthill
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 9 | |
| 6 | 0 | |
| 7 | 9 | |
| 8 | 4 | |
| 9 | 4 | |
| 10 | 117 | |
| 11 | 17 | |
| 12 | 13 | |
| 13 | 136 | |
| 14 | 88 | |
| 15 | 44 | |
| 16 | 35 | |
| 17 | 73 | |
| 18 | 68 | |
| 19 | 152 | |
| 20 | 12 |
About John C Tuthill
John C Tuthill is a scholar working on Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics and Structural Biology, having authored 34 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (25 papers), Insect and Arachnid Ecology and Behavior (12 papers) and Animal Behavior and Reproduction (11 papers). The work is most often cited by research in Structural Biology (60 citations), Cellular and Molecular Neuroscience (774 citations) and Ecology, Evolution, Behavior and Systematics (387 citations). John C Tuthill has collaborated with scholars based in United States, Germany and France. Frequent 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. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.