Mitsuru Nishiyama
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Behavioral Neuroscience top 1%
- Physiology top 5%
- Endocrine and Autonomic Systems top 2%
- Co-authors
- Kozo HashimotoKoichi AsabaShinya MakinoJack R. WandsYasumasa IwasakiTakafumi TaguchiMachiko KambayashiYoshio Terada
- Topics
- Stress Responses and Cortisol (21 papers)Regulation of Appetite and Obesity (12 papers)Hormonal Regulation and Hypertension (11 papers)
- Journals
- Journal of Clinical InvestigationJournal of NeuroscienceThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Mitsuru Nishiyama
60 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 98
- Molecular Biology 433
- Endocrinology, Diabetes and Metabolism 412
- Behavioral Neuroscience 396
- Physiology 388
- Endocrine and Autonomic Systems 368
Countries citing papers authored by Mitsuru Nishiyama
This map shows the geographic impact of Mitsuru Nishiyama'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 Mitsuru Nishiyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsuru Nishiyama more than expected).
Fields of papers citing papers by Mitsuru Nishiyama
This network shows the impact of papers produced by Mitsuru Nishiyama. 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 Mitsuru Nishiyama. The network helps show where Mitsuru Nishiyama may publish in the future.
Co-authorship network of co-authors of Mitsuru Nishiyama
This figure shows the co-authorship network connecting the top 25 collaborators of Mitsuru Nishiyama. A scholar is included among the top collaborators of Mitsuru Nishiyama 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 Mitsuru Nishiyama. Mitsuru Nishiyama 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 | 1 | |
| 3 | 2 | |
| 4 | 22 | |
| 5 | 2 | |
| 6 | 11 | |
| 7 | 21 | |
| 8 | 33 | |
| 9 | 30 | |
| 10 | 11 | |
| 11 | 126 | |
| 12 | 17 | |
| 13 | 26 | |
| 14 | Low-dose cisplatin and 5-fluorouracil in combination can repress increased gene expression of cellular resistance determinants to themselves. | 67 |
| 15 | 77 | |
| 16 | 21 | |
| 17 | 40 | |
| 18 | 12 | |
| 19 | 126 | |
| 20 | 87 |
About Mitsuru Nishiyama
Mitsuru Nishiyama is a scholar working on Behavioral Neuroscience, Endocrine and Autonomic Systems and Endocrinology, Diabetes and Metabolism, having authored 63 papers that have together received 1.7k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (21 papers), Regulation of Appetite and Obesity (12 papers) and Hormonal Regulation and Hypertension (11 papers). The work is most often cited by research in Behavioral Neuroscience (396 citations), Endocrine and Autonomic Systems (368 citations) and Biological Psychiatry (80 citations). Mitsuru Nishiyama has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Kozo Hashimoto, Koichi Asaba, Shinya Makino, Jack R. Wands, Yasumasa Iwasaki, Takafumi Taguchi, Machiko Kambayashi, Yoshio Terada, Makoto Tsugita and Mary P. Stenzel‐Poore. Their work appears in journals such as Journal of Clinical Investigation, Journal of Neuroscience and The Journal of Clinical Endocrinology & Metabolism.
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.