Hiromi Yano
- Physiology top 5%
- Molecular Biology
- Epidemiology top 10%
- Rehabilitation top 1%
- Immunology
- Co-authors
- Noriaki KawanishiKatsuhiko SuzukiTsubasa MizokamiEri OyanagiYasuko KatoTakao NaganoKozo UtsumiMasataka Uchida
- Topics
- Exercise and Physiological Responses (26 papers)Adipose Tissue and Metabolism (11 papers)Pharmacological Effects of Natural Compounds (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaBrain ResearchThe FASEB Journal
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Hiromi Yano
93 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 111
- Physiology 581
- Molecular Biology 436
- Epidemiology 424
- Rehabilitation 358
- Immunology 180
Countries citing papers authored by Hiromi Yano
This map shows the geographic impact of Hiromi Yano'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 Hiromi Yano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiromi Yano more than expected).
Fields of papers citing papers by Hiromi Yano
This network shows the impact of papers produced by Hiromi Yano. 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 Hiromi Yano. The network helps show where Hiromi Yano may publish in the future.
Co-authorship network of co-authors of Hiromi Yano
This figure shows the co-authorship network connecting the top 25 collaborators of Hiromi Yano. A scholar is included among the top collaborators of Hiromi Yano 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 Hiromi Yano. Hiromi Yano 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 | 2 | |
| 3 | A case of sarcoidosis accompanying systemic symptoms successfully treated with kampo medications | 0 |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 25 | |
| 7 | 10 | |
| 8 | 7 | |
| 9 | EFFECTS OF PROSTAGLANDIN E2 PRODUCTION ON LPS-INDUCED REDUCTION IN WHEEL-RUNNING ACTIVITY IN MICE(Proceedings of The 8^ Asian Federation of Sports Medicine Congress 2005 Tokyo) | 1 |
| 10 | 1 | |
| 11 | 1 | |
| 12 | The Study of Body Fat and Skin Temperature during the Swim Training College Students | 0 |
| 13 | 2 | |
| 14 | 3 | |
| 15 | 12 | |
| 16 | 0 | |
| 17 | 1 | |
| 18 | Relationship between Oxygen Uptake and Work Performance of Female Fischer 344 Rats in Response to Treadmill Exercise | 3 |
| 19 | Effect of Submaximal Exercise on Hepatic Function | 1 |
| 20 | 1 |
About Hiromi Yano
Hiromi Yano is a scholar working on Rehabilitation, Physiology and Pharmacology, having authored 109 papers that have together received 1.7k indexed citations. Recurring topics across this work include Exercise and Physiological Responses (26 papers), Adipose Tissue and Metabolism (11 papers) and Pharmacological Effects of Natural Compounds (8 papers). The work is most often cited by research in Rehabilitation (358 citations), Physiology (581 citations) and Biological Psychiatry (47 citations). Hiromi Yano has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Noriaki Kawanishi, Katsuhiko Suzuki, Tsubasa Mizokami, Eri Oyanagi, Yasuko Kato, Takao Nagano, Kozo Utsumi, Masataka Uchida, Junichi Sasaki and Tsukasa Matsuda. Their work appears in journals such as SHILAP Revista de lepidopterología, Brain Research and The FASEB Journal.
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.