H. Nishimura
- Molecular Biology
- Ecology top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Aquatic Science top 5%
- Animal Science and Zoology top 10%
- Co-authors
- Masashi ImaiBaileyHirofumi SokabeMikio OGURIChizuko KosekiWH SawyerM. C. KhoslaMakoto Ogawa
- Topics
- Renin-Angiotensin System Studies (10 papers)Physiological and biochemical adaptations (9 papers)Receptor Mechanisms and Signaling (5 papers)
- Partner nations
- United StatesJapanChina
In The Last Decade
H. Nishimura
35 papers receiving 656 citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 269
- Ecology 234
- Cardiology and Cardiovascular Medicine 199
- Aquatic Science 88
- Animal Science and Zoology 79
Countries citing papers authored by H. Nishimura
This map shows the geographic impact of H. Nishimura'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 H. Nishimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Nishimura more than expected).
Fields of papers citing papers by H. Nishimura
This network shows the impact of papers produced by H. Nishimura. 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 H. Nishimura. The network helps show where H. Nishimura may publish in the future.
Co-authorship network of co-authors of H. Nishimura
This figure shows the co-authorship network connecting the top 25 collaborators of H. Nishimura. A scholar is included among the top collaborators of H. Nishimura 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 H. Nishimura. H. Nishimura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 8 | |
| 3 | 27 | |
| 4 | 25 | |
| 5 | 20 | |
| 6 | 28 | |
| 7 | 4 | |
| 8 | [Identification of apoprotein A-1 in pure cholesterol gallstone]. | 1 |
| 9 | 12 | |
| 10 | 36 | |
| 11 | Effects of propentofylline on energy metabolism of the ischemic brain studied by in vivo 31P nuclear magnetic resonance spectroscopy. | 13 |
| 12 | 2 | |
| 13 | 9 | |
| 14 | 13 | |
| 15 | Intrarenal renin-angiotensin system in primitive vertebrates. | 33 |
| 16 | Metabolism of arachidonic acid by saline washed toadfish opsanus tau red cells | 1 |
| 17 | 32 | |
| 18 | 13 | |
| 19 | 12 | |
| 20 | 32 |
About H. Nishimura
H. Nishimura is a scholar working on Aquatic Science, Animal Science and Zoology and Physiology, having authored 35 papers that have together received 684 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (10 papers), Physiological and biochemical adaptations (9 papers) and Receptor Mechanisms and Signaling (5 papers). The work is most often cited by research in Aquatic Science (88 citations), Ecology (234 citations) and Cardiology and Cardiovascular Medicine (199 citations). H. Nishimura has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Masashi Imai, Bailey, Hirofumi Sokabe, Mikio OGURI, Chizuko Koseki, WH Sawyer, M. C. Khosla, Makoto Ogawa, Kiyoshi Yamaguchi and M.A. Madey. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal and Hypertension.
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.