H. Nakashima
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Immunology
- Physiology
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Satoru EguchiHaruhiko OhtsuGerald D. FrankHiroyuki SuzukiPeter J. DempseyEugen BrailoiuEvangeline D. MotleyKunie Eguchi
- Topics
- Protein Kinase Regulation and GTPase Signaling (4 papers)Renin-Angiotensin System Studies (4 papers)Monoclonal and Polyclonal Antibodies Research (3 papers)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
H. Nakashima
31 papers receiving 949 citations
Peers
Comparison fields: 5 of 97
- Molecular Biology 444
- Cardiology and Cardiovascular Medicine 246
- Immunology 177
- Physiology 137
- Endocrinology, Diabetes and Metabolism 123
Countries citing papers authored by H. Nakashima
This map shows the geographic impact of H. Nakashima'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. Nakashima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Nakashima more than expected).
Fields of papers citing papers by H. Nakashima
This network shows the impact of papers produced by H. Nakashima. 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. Nakashima. The network helps show where H. Nakashima may publish in the future.
Co-authorship network of co-authors of H. Nakashima
This figure shows the co-authorship network connecting the top 25 collaborators of H. Nakashima. A scholar is included among the top collaborators of H. Nakashima 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. Nakashima. H. Nakashima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 5 | |
| 3 | 28 | |
| 4 | 3 | |
| 5 | 104 | |
| 6 | 110 | |
| 7 | 33 | |
| 8 | 102 | |
| 9 | 1 | |
| 10 | 49 | |
| 11 | Cardioprotective Role of AT2 Receptor in Post-Infarction Left Ventricular Remodeling | 3 |
| 12 | 2 | |
| 13 | [A case of tomato juice-induced oral allergy syndrome in which dyspnea onset occurred during the season of Japanese cedar pollen dispersion]. | 3 |
| 14 | 2 | |
| 15 | [Interstitial cystitis in case of primary Sjögren's syndrome]. | 3 |
| 16 | 7 | |
| 17 | 83 | |
| 18 | 1 | |
| 19 | 40 | |
| 20 | 6 |
About H. Nakashima
H. Nakashima is a scholar working on Structural Biology, Aging and Rheumatology, having authored 32 papers that have together received 968 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (4 papers), Renin-Angiotensin System Studies (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (246 citations), Immunology and Allergy (58 citations) and Immunology (177 citations). H. Nakashima has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Satoru Eguchi, Haruhiko Ohtsu, Gerald D. Frank, Hiroyuki Suzuki, Peter J. Dempsey, Eugen Brailoiu, Evangeline D. Motley, Kunie Eguchi, Sadaharu Higuchi and Tadashi Inagami. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Applied Physics Letters.
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.