Eiji Yoshihara
- Molecular Biology top 5%
- Surgery top 5%
- Genetics top 5%
- Physiology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Junji YodoiSo MasakiRonald M. EvansMichael DownesZhe ChenChristopher LiddleRuth T. YuAnnette R. Atkins
- Topics
- Pancreatic function and diabetes (12 papers)Redox biology and oxidative stress (9 papers)Adipose Tissue and Metabolism (7 papers)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Eiji Yoshihara
53 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Molecular Biology 1.3k
- Surgery 650
- Genetics 433
- Physiology 312
- Endocrinology, Diabetes and Metabolism 299
Countries citing papers authored by Eiji Yoshihara
This map shows the geographic impact of Eiji Yoshihara'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 Eiji Yoshihara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eiji Yoshihara more than expected).
Fields of papers citing papers by Eiji Yoshihara
This network shows the impact of papers produced by Eiji Yoshihara. 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 Eiji Yoshihara. The network helps show where Eiji Yoshihara may publish in the future.
Co-authorship network of co-authors of Eiji Yoshihara
This figure shows the co-authorship network connecting the top 25 collaborators of Eiji Yoshihara. A scholar is included among the top collaborators of Eiji Yoshihara 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 Eiji Yoshihara. Eiji Yoshihara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 19 | |
| 7 | Immune-evasive human islet-like organoids ameliorate diabetesbreakdown → | 253 |
| 8 | 6 | |
| 9 | 26 | |
| 10 | 154 | |
| 11 | 137 | |
| 12 | 300 | |
| 13 | 192 | |
| 14 | 11 | |
| 15 | 47 | |
| 16 | 17 | |
| 17 | 33 | |
| 18 | [Relationship between of carotid ultrasonography in Japanese hypertensive subjects for intima-media thickness and plaque, and candidate gene polymorphism--possibility of early detection of arteriosclerotic disease]. | 1 |
| 19 | 8 | |
| 20 | DETECTION OF BORNA DISEASE VIRUS RNA IN AUTOPSIED BRAIN SAMPLES OF SCHIZOPHRENIC PATIENTS | 1 |
About Eiji Yoshihara
Eiji Yoshihara is a scholar working on Genetics, Molecular Biology and Transplantation, having authored 54 papers that have together received 2.3k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (12 papers), Redox biology and oxidative stress (9 papers) and Adipose Tissue and Metabolism (7 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Endocrinology, Diabetes and Metabolism (299 citations) and Genetics (433 citations). Eiji Yoshihara has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Junji Yodoi, So Masaki, Ronald M. Evans, Michael Downes, Zhe Chen, Christopher Liddle, Ruth T. Yu, Annette R. Atkins, Yoshiyuki Matsuo and Hiroshi Masutani. Their work appears in journals such as Nature, Cell and Journal of Biological Chemistry.
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.