Tetsuya Nojima
Impact in
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- Neurobiology and Insect Physiology Research
- Aging top 10%
Papers in
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- Neurobiology and Insect Physiology Research 10
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- Animal Behavior and Reproduction 5
- Co-authors
- Stephen F. Goodwin (8 shared papers)Megan C. Neville (7 shared papers)Andrew C. Lin (2 shared papers)Carolina Rezával (2 shared papers)Daisuke Yamamoto (4 shared papers)Hania J. Pavlou (2 shared papers)Benjamin Houot (2 shared papers)Stéphane Dupas (1 shared paper)
- Journals
- Current Biology (5 papers)Journal of Neurogenetics (2 papers)Archives of Insect Biochemistry and Physiology (1 paper)Cell Genomics (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United KingdomJapanUnited States
In The Last Decade
Tetsuya Nojima
12 papers receiving 447 citations
Peers
Comparison fields: 5 of 43
- Cellular and Molecular Neuroscience 342
- Aging 31
- Ecology, Evolution, Behavior and Systematics 223
- Genetics 251
- Insect Science 93
Countries citing papers authored by Tetsuya Nojima
This map shows the geographic impact of Tetsuya Nojima'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 Tetsuya Nojima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsuya Nojima more than expected).
Fields of papers citing papers by Tetsuya Nojima
This network shows the impact of papers produced by Tetsuya Nojima. 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 Tetsuya Nojima. The network helps show where Tetsuya Nojima may publish in the future.
Co-authors
The 25 scholars most cited alongside Tetsuya Nojima, 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 | 2014 | 117 | |
| 2 | 2011 | 80 | |
| 3 | 2014 | 77 | |
| 4 | 2016 | 48 | |
| 5 | 2016 | 42 | |
| 6 | 2021 | 39 | |
| 7 | 2010 | 21 | |
| 8 | 2014 | 15 | |
| 9 | 2007 | 5 | |
| 10 | 2019 | 3 | |
| 11 | 2021 | 2 | |
| 12 | [An autopsy case with peculiar acidophilic bodies in the dentate nucleus and brain stem, associated with degeneration of the pyramidal-extrapyramidal systems]. | 1985 | 1 |
| 13 | 2026 | 0 |
About Tetsuya Nojima
Tetsuya Nojima is a scholar working on Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics, Genetics, Molecular Biology and Sensory Systems, having authored 13 papers that have together received 450 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (10 papers), Animal Behavior and Reproduction (5 papers), Insect and Arachnid Ecology and Behavior (4 papers), Olfactory and Sensory Function Studies (2 papers), Plant Reproductive Biology (2 papers), Plant Molecular Biology Research (2 papers), Diet and metabolism studies (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (342 citations), Aging (31 citations), Ecology, Evolution, Behavior and Systematics (223 citations), Genetics (251 citations) and Insect Science (93 citations). Tetsuya Nojima has collaborated with scholars based in United Kingdom, Japan and United States. Frequent co-authors include Stephen F. Goodwin, Megan C. Neville, Andrew C. Lin, Carolina Rezával, Daisuke Yamamoto, Hania J. Pavlou, Benjamin Houot, Stéphane Dupas, Jean‐François Ferveur and François Bousquet. Their work appears in journals such as Current Biology, Journal of Neurogenetics, Archives of Insect Biochemistry and Physiology, Cell Genomics 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.