Hiroaki Yoshida
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 2%
- Nephrology top 1%
- Endocrinology, Diabetes and Metabolism top 5%
- Pediatrics, Perinatology and Child Health top 5%
- Co-authors
- Jun‐ichi YamagishiMotoyuki NakamuraKatsuhiko HiramoriNaoshi ArakawaShinichi NakamuraIekuni IchikawaShinji MakitaHaruo Tomonari
- Topics
- Hormonal Regulation and Hypertension (11 papers)Reproductive Biology and Fertility (11 papers)Nitric Oxide and Endothelin Effects (10 papers)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Hiroaki Yoshida
108 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 121
- Molecular Biology 1.2k
- Cardiology and Cardiovascular Medicine 878
- Nephrology 461
- Endocrinology, Diabetes and Metabolism 429
- Pediatrics, Perinatology and Child Health 345
Countries citing papers authored by Hiroaki Yoshida
This map shows the geographic impact of Hiroaki Yoshida'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 Hiroaki Yoshida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroaki Yoshida more than expected).
Fields of papers citing papers by Hiroaki Yoshida
This network shows the impact of papers produced by Hiroaki Yoshida. 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 Hiroaki Yoshida. The network helps show where Hiroaki Yoshida may publish in the future.
Co-authorship network of co-authors of Hiroaki Yoshida
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroaki Yoshida. A scholar is included among the top collaborators of Hiroaki Yoshida 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 Hiroaki Yoshida. Hiroaki Yoshida is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 2 | |
| 3 | 8 | |
| 4 | 16 | |
| 5 | 32 | |
| 6 | 8 | |
| 7 | 9 | |
| 8 | 1 | |
| 9 | 91 | |
| 10 | 27 | |
| 11 | 2 | |
| 12 | 18 | |
| 13 | 71 | |
| 14 | 19 | |
| 15 | The Pathogenesis of Focal Glomerulosclerosis : Nonimmunologic Mechanisms of Glomerular Injury in Renal Ablation Model | 1 |
| 16 | 67 | |
| 17 | 0 | |
| 18 | 4 | |
| 19 | 1 | |
| 20 | 1 |
About Hiroaki Yoshida
Hiroaki Yoshida is a scholar working on Reproductive Medicine, Nephrology and Cardiology and Cardiovascular Medicine, having authored 115 papers that have together received 3.2k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (11 papers), Reproductive Biology and Fertility (11 papers) and Nitric Oxide and Endothelin Effects (10 papers). The work is most often cited by research in Nephrology (461 citations), Molecular Medicine (282 citations) and Cardiology and Cardiovascular Medicine (878 citations). Hiroaki Yoshida has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Jun‐ichi Yamagishi, Motoyuki Nakamura, Katsuhiko Hiramori, Naoshi Arakawa, Shinichi Nakamura, Iekuni Ichikawa, Shinji Makita, Haruo Tomonari, Michiko Yamayoshi and Osamu Sakai. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.
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.