Hiroshi Yoshida
- Molecular Biology top 10%
- Surgery top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Physiology top 5%
- Co-authors
- Hidekatsu YanaiNorio TadaKumie ItoYoshiharu TomonoYuji HirowatariYoshimi KishimotoKazuo KondoHideo Kurosawa
- Topics
- Lipoproteins and Cardiovascular Health (23 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (23 papers)Cancer, Lipids, and Metabolism (14 papers)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Hiroshi Yoshida
98 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Molecular Biology 797
- Surgery 606
- Endocrinology, Diabetes and Metabolism 596
- Cardiology and Cardiovascular Medicine 513
- Physiology 427
Countries citing papers authored by Hiroshi Yoshida
This map shows the geographic impact of Hiroshi 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 Hiroshi Yoshida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroshi Yoshida more than expected).
Fields of papers citing papers by Hiroshi Yoshida
This network shows the impact of papers produced by Hiroshi 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 Hiroshi Yoshida. The network helps show where Hiroshi Yoshida may publish in the future.
Co-authorship network of co-authors of Hiroshi Yoshida
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Yoshida. A scholar is included among the top collaborators of Hiroshi 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 Hiroshi Yoshida. Hiroshi 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 | 0 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 11 | |
| 5 | 12 | |
| 6 | 29 | |
| 7 | 13 | |
| 8 | 3 | |
| 9 | 30 | |
| 10 | 88 | |
| 11 | 195 | |
| 12 | 13 | |
| 13 | 103 | |
| 14 | 8 | |
| 15 | Effect of photoreceptor degeneration on RNA splicing and expression of AMPA receptors. | 8 |
| 16 | 4 | |
| 17 | 4 | |
| 18 | 41 | |
| 19 | 15 | |
| 20 | Operating System SXO for Continuous Operation | 2 |
About Hiroshi Yoshida
Hiroshi Yoshida is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 100 papers that have together received 3.0k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (23 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (23 papers) and Cancer, Lipids, and Metabolism (14 papers). The work is most often cited by research in Biochemistry (363 citations), Endocrinology, Diabetes and Metabolism (596 citations) and Cardiology and Cardiovascular Medicine (513 citations). Hiroshi Yoshida has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Hidekatsu Yanai, Norio Tada, Kumie Ito, Yoshiharu Tomono, Yuji Hirowatari, Yoshimi Kishimoto, Kazuo Kondo, Norio Tada, Hideo Kurosawa and Nobuyuki Furutani. Their work appears in journals such as Journal of the American College of Cardiology, PLoS ONE and Nature Nanotechnology.
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.