Kiyomitsu Nemoto
- Molecular Biology
- Plant Science top 5%
- Cellular and Molecular Neuroscience top 5%
- Physiology top 10%
- Pathology and Forensic Medicine top 5%
- Co-authors
- Emiko SenbaTakashi UeyamaMasashi SekimotoMasakuni DegawaShigenobu TonéY. KawaiTetsuya TamakiNaoko Miyamoto
- Topics
- Pharmacogenetics and Drug Metabolism (16 papers)Estrogen and related hormone effects (11 papers)Drug Transport and Resistance Mechanisms (10 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- JapanSri LankaUnited States
In The Last Decade
Kiyomitsu Nemoto
96 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 116
- Molecular Biology 679
- Plant Science 428
- Cellular and Molecular Neuroscience 371
- Physiology 254
- Pathology and Forensic Medicine 228
Countries citing papers authored by Kiyomitsu Nemoto
This map shows the geographic impact of Kiyomitsu Nemoto'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 Kiyomitsu Nemoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kiyomitsu Nemoto more than expected).
Fields of papers citing papers by Kiyomitsu Nemoto
This network shows the impact of papers produced by Kiyomitsu Nemoto. 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 Kiyomitsu Nemoto. The network helps show where Kiyomitsu Nemoto may publish in the future.
Co-authorship network of co-authors of Kiyomitsu Nemoto
This figure shows the co-authorship network connecting the top 25 collaborators of Kiyomitsu Nemoto. A scholar is included among the top collaborators of Kiyomitsu Nemoto 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 Kiyomitsu Nemoto. Kiyomitsu Nemoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 6 | |
| 3 | 24 | |
| 4 | 4 | |
| 5 | 25 | |
| 6 | 19 | |
| 7 | Inhibitory Effects of Citrus Polymethoxyflavones, Nobiletin and its Analogues, on Acetylcholinesterase Activity | 1 |
| 8 | 40 | |
| 9 | 29 | |
| 10 | 41 | |
| 11 | 40 | |
| 12 | O12-15 Effects of 2, 2', 4', 5, 5'-Pentachlorobiphenyl and 2, 2', 3', 4', 5, 6-Hexachlorobiphenyl on Serum Hormone Levels in Rats and Mice | 4 |
| 13 | 12 | |
| 14 | 30 | |
| 15 | 4 | |
| 16 | 2 | |
| 17 | 256 | |
| 18 | 1 | |
| 19 | 10 | |
| 20 | 6 |
About Kiyomitsu Nemoto
Kiyomitsu Nemoto is a scholar working on Pharmacology, Biochemistry and Cellular and Molecular Neuroscience, having authored 99 papers that have together received 2.0k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (16 papers), Estrogen and related hormone effects (11 papers) and Drug Transport and Resistance Mechanisms (10 papers). The work is most often cited by research in Developmental Neuroscience (176 citations), Behavioral Neuroscience (141 citations) and Cellular and Molecular Neuroscience (371 citations). Kiyomitsu Nemoto has collaborated with scholars based in Japan, Sri Lanka and United States. Frequent co-authors include Emiko Senba, Takashi Ueyama, Masashi Sekimoto, Masakuni Degawa, Shigenobu Toné, Y. Kawai, Tetsuya Tamaki, Naoko Miyamoto, Yuichiro Kanno and Misaki Kojima. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.
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.