Hideaki Yoshida
- Molecular Biology top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Epidemiology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery top 10%
- Co-authors
- Julie ChaoTetsuji MiuraLee ChaoMasato FuruhashiShutaro IshimuraKazuaki ShimamotoMarenao TanakaTomohiro Mita
- Topics
- Peroxisome Proliferator-Activated Receptors (14 papers)Coagulation, Bradykinin, Polyphosphates, and Angioedema (9 papers)Monoclonal and Polyclonal Antibodies Research (9 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaBlood
- Partner nations
- JapanUnited StatesGreece
In The Last Decade
Hideaki Yoshida
103 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 138
- Molecular Biology 1.3k
- Cardiology and Cardiovascular Medicine 581
- Epidemiology 455
- Endocrinology, Diabetes and Metabolism 396
- Surgery 332
Countries citing papers authored by Hideaki Yoshida
This map shows the geographic impact of Hideaki 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 Hideaki Yoshida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideaki Yoshida more than expected).
Fields of papers citing papers by Hideaki Yoshida
This network shows the impact of papers produced by Hideaki 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 Hideaki Yoshida. The network helps show where Hideaki Yoshida may publish in the future.
Co-authorship network of co-authors of Hideaki Yoshida
This figure shows the co-authorship network connecting the top 25 collaborators of Hideaki Yoshida. A scholar is included among the top collaborators of Hideaki 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 Hideaki Yoshida. Hideaki 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 | 23 | |
| 3 | 4 | |
| 4 | 49 | |
| 5 | 38 | |
| 6 | 59 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 21 | |
| 11 | 6 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 62 | |
| 19 | MASCOTS II: A Dialog Manager in General Interface for Speech Input and Output | 6 |
| 20 | 4 |
About Hideaki Yoshida
Hideaki Yoshida is a scholar working on Nephrology, Genetics and Endocrinology, Diabetes and Metabolism, having authored 116 papers that have together received 2.8k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (14 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (9 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). The work is most often cited by research in Nephrology (249 citations), Cardiology and Cardiovascular Medicine (581 citations) and Endocrinology, Diabetes and Metabolism (396 citations). Hideaki Yoshida has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Julie Chao, Tetsuji Miura, Lee Chao, Masato Furuhashi, Shutaro Ishimura, Kazuaki Shimamoto, Marenao Tanaka, Tomohiro Mita, Takahiro Fuseya and Jun Agata. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Blood.
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.