Michio Niimi
- Endocrine and Autonomic Systems top 1%
- Endocrinology, Diabetes and Metabolism top 5%
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Cognitive Neuroscience top 10%
- Co-authors
- Makoto SatoJiro TakaharaKoji MuraoKoichi KawanishiTomohiko TaminatoToshihiko IshidaJ TakaharaKahee Niimi
- Topics
- Growth Hormone and Insulin-like Growth Factors (20 papers)Neuropeptides and Animal Physiology (13 papers)Regulation of Appetite and Obesity (12 papers)
- Cited by
- Endocrine and Autonomic SystemsBehavioral NeuroscienceEndocrinology, Diabetes and Metabolism
- Partner nations
- JapanCanadaUnited Kingdom
In The Last Decade
Michio Niimi
53 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 90
- Endocrine and Autonomic Systems 447
- Endocrinology, Diabetes and Metabolism 398
- Cellular and Molecular Neuroscience 382
- Molecular Biology 266
- Cognitive Neuroscience 241
Countries citing papers authored by Michio Niimi
This map shows the geographic impact of Michio Niimi'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 Michio Niimi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michio Niimi more than expected).
Fields of papers citing papers by Michio Niimi
This network shows the impact of papers produced by Michio Niimi. 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 Michio Niimi. The network helps show where Michio Niimi may publish in the future.
Co-authorship network of co-authors of Michio Niimi
This figure shows the co-authorship network connecting the top 25 collaborators of Michio Niimi. A scholar is included among the top collaborators of Michio Niimi 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 Michio Niimi. Michio Niimi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 59 | |
| 2 | 26 | |
| 3 | 36 | |
| 4 | 35 | |
| 5 | 74 | |
| 6 | 44 | |
| 7 | 12 | |
| 8 | 12 | |
| 9 | 62 | |
| 10 | 26 | |
| 11 | 8 | |
| 12 | 52 | |
| 13 | 14 | |
| 14 | 15 | |
| 15 | 5 | |
| 16 | 12 | |
| 17 | 20 | |
| 18 | 20 | |
| 19 | 58 | |
| 20 | 15 |
About Michio Niimi
Michio Niimi is a scholar working on Behavioral Neuroscience, Endocrine and Autonomic Systems and Endocrinology, Diabetes and Metabolism, having authored 53 papers that have together received 1.4k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (20 papers), Neuropeptides and Animal Physiology (13 papers) and Regulation of Appetite and Obesity (12 papers). The work is most often cited by research in Endocrine and Autonomic Systems (447 citations), Behavioral Neuroscience (148 citations) and Endocrinology, Diabetes and Metabolism (398 citations). Michio Niimi has collaborated with scholars based in Japan, Canada and United Kingdom. Frequent co-authors include Makoto Sato, Jiro Takahara, Koji Murao, Koichi Kawanishi, Tomohiko Taminato, Toshihiko Ishida, J Takahara, Kahee Niimi, Yasunori Okada and Seishiro Matsubara. Their work appears in journals such as Cancer Research, Diabetes and Brain Research.
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.