Teiichi Tanimura
- Cellular and Molecular Neuroscience top 0.5%
- Insect Science top 0.5%
- Molecular Biology top 10%
- Genetics top 2%
- Endocrine and Autonomic Systems top 1%
- Co-authors
- Akira MatsumotoFrédéric Marion‐PollMakoto HiroiDiana WeilKnut LönnrothErnesto JaramilloMario RaviǵlioneNicolas Meunier
- Topics
- Neurobiology and Insect Physiology Research (63 papers)Insect and Arachnid Ecology and Behavior (19 papers)Circadian rhythm and melatonin (18 papers)
In The Last Decade
Teiichi Tanimura
96 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Cellular and Molecular Neuroscience 2.4k
- Insect Science 952
- Molecular Biology 856
- Genetics 803
- Endocrine and Autonomic Systems 747
Countries citing papers authored by Teiichi Tanimura
This map shows the geographic impact of Teiichi Tanimura'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 Teiichi Tanimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teiichi Tanimura more than expected).
Fields of papers citing papers by Teiichi Tanimura
This network shows the impact of papers produced by Teiichi Tanimura. 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 Teiichi Tanimura. The network helps show where Teiichi Tanimura may publish in the future.
Co-authorship network of co-authors of Teiichi Tanimura
This figure shows the co-authorship network connecting the top 25 collaborators of Teiichi Tanimura. A scholar is included among the top collaborators of Teiichi Tanimura 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 Teiichi Tanimura. Teiichi Tanimura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 27 | |
| 3 | 17 | |
| 4 | 9 | |
| 5 | 30 | |
| 6 | 21 | |
| 7 | 1 | |
| 8 | 25 | |
| 9 | 126 | |
| 10 | Bio-conversion of soft cellulosic resources into sugar and ethanol. | 6 |
| 11 | 5 | |
| 12 | 137 | |
| 13 | 47 | |
| 14 | 146 | |
| 15 | 5 | |
| 16 | 68 | |
| 17 | 24 | |
| 18 | Effects of prenatal vinblastine exposure on behavior and function in postnatal rats : Abstracts of Papers Presented at the 29th Annual Meeting of the Japanese Teratology Society, Yamagata, Japan July 13 - 14 | 1 |
| 19 | 26 | |
| 20 | On the vole bacillus | 1 |
About Teiichi Tanimura
Teiichi Tanimura is a scholar working on Aging, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 96 papers that have together received 3.9k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (63 papers), Insect and Arachnid Ecology and Behavior (19 papers) and Circadian rhythm and melatonin (18 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.4k citations), Aging (228 citations) and Endocrine and Autonomic Systems (747 citations). Teiichi Tanimura has collaborated with scholars based in Japan, Germany and France. Frequent co-authors include Akira Matsumoto, Frédéric Marion‐Poll, Makoto Hiroi, Diana Weil, Knut Lönnroth, Ernesto Jaramillo, Mario Raviǵlione, Nicolas Meunier, Hiroshi Ishimoto and Michiko Fujita. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.