Takashi Yashiro
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Endocrine and Autonomic Systems top 2%
- Immunology top 10%
- Surgery
- Co-authors
- Ken FujiwaraMotoshi KikuchiTom KoukiDamon C. HerbertKotaro HoriguchiTśuyoshi SojiTakehiro TsukadaShu Takigami
- Topics
- Growth Hormone and Insulin-like Growth Factors (21 papers)TGF-β signaling in diseases (13 papers)Cell Adhesion Molecules Research (13 papers)
- Cited by
- Endocrine and Autonomic SystemsEndocrinology, Diabetes and MetabolismBehavioral Neuroscience
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONECell Metabolism
- Partner nations
- JapanUnited StatesThailand
In The Last Decade
Takashi Yashiro
99 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 109
- Molecular Biology 759
- Endocrinology, Diabetes and Metabolism 433
- Endocrine and Autonomic Systems 289
- Immunology 259
- Surgery 206
Countries citing papers authored by Takashi Yashiro
This map shows the geographic impact of Takashi Yashiro'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 Takashi Yashiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takashi Yashiro more than expected).
Fields of papers citing papers by Takashi Yashiro
This network shows the impact of papers produced by Takashi Yashiro. 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 Takashi Yashiro. The network helps show where Takashi Yashiro may publish in the future.
Co-authorship network of co-authors of Takashi Yashiro
This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Yashiro. A scholar is included among the top collaborators of Takashi Yashiro 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 Takashi Yashiro. Takashi Yashiro 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 | 8 | |
| 4 | 16 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 6 | |
| 8 | 19 | |
| 9 | 9 | |
| 10 | 37 | |
| 11 | Elevation of Plasma Granzyme B Levels After Acute Myocardial Infarction : Correlation With Left Ventricular Remodeling(Ischemic Heart Disease) | 2 |
| 12 | 4 | |
| 13 | 26 | |
| 14 | 10 | |
| 15 | 24 | |
| 16 | 21 | |
| 17 | 6 | |
| 18 | 43 | |
| 19 | 14 | |
| 20 | 0 |
About Takashi Yashiro
Takashi Yashiro is a scholar working on Immunology and Allergy, Endocrinology, Diabetes and Metabolism and Cell Biology, having authored 105 papers that have together received 1.9k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (21 papers), TGF-β signaling in diseases (13 papers) and Cell Adhesion Molecules Research (13 papers). The work is most often cited by research in Endocrine and Autonomic Systems (289 citations), Endocrinology, Diabetes and Metabolism (433 citations) and Behavioral Neuroscience (62 citations). Takashi Yashiro has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Ken Fujiwara, Motoshi Kikuchi, Tom Kouki, Damon C. Herbert, Kotaro Horiguchi, Tśuyoshi Soji, Takehiro Tsukada, Shu Takigami, Toshihiko Yada and Depicha Jindatip. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cell Metabolism.
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.