Eiko Takahashi
- Epidemiology top 10%
- Genetics top 10%
- Public Health, Environmental and Occupational Health top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Infectious Diseases top 10%
- Co-authors
- Kengo MoriyamaChizumi YamadaMinoru YamakadoKatsumi YoshidaM MiyakawaHiroki SugimoriTakashi IzunoIto H
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (20 papers)Viral gastroenteritis research and epidemiology (11 papers)Herpesvirus Infections and Treatments (10 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Eiko Takahashi
80 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 113
- Epidemiology 384
- Genetics 237
- Public Health, Environmental and Occupational Health 231
- Endocrinology, Diabetes and Metabolism 199
- Infectious Diseases 179
Countries citing papers authored by Eiko Takahashi
This map shows the geographic impact of Eiko Takahashi'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 Eiko Takahashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eiko Takahashi more than expected).
Fields of papers citing papers by Eiko Takahashi
This network shows the impact of papers produced by Eiko Takahashi. 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 Eiko Takahashi. The network helps show where Eiko Takahashi may publish in the future.
Co-authorship network of co-authors of Eiko Takahashi
This figure shows the co-authorship network connecting the top 25 collaborators of Eiko Takahashi. A scholar is included among the top collaborators of Eiko Takahashi 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 Eiko Takahashi. Eiko Takahashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Prediction of homeostasis model assessment of insulin resistance in Japanese subjects. | 7 |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 31 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 81 | |
| 8 | 23 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 10 | |
| 13 | 29 | |
| 14 | 3 | |
| 15 | 8 | |
| 16 | 15 | |
| 17 | Complement fixation test of Nebraska calf diarrhea virus with calf serum. | 1 |
| 18 | 4 | |
| 19 | The geographic distribution of cerebral hemorrhage and hypertension in Japan. | 85 |
| 20 | The sex ratio of neonatal deaths in Japan. | 4 |
About Eiko Takahashi
Eiko Takahashi is a scholar working on Chemical Health and Safety, Endocrinology, Diabetes and Metabolism and Epidemiology, having authored 83 papers that have together received 1.3k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (20 papers), Viral gastroenteritis research and epidemiology (11 papers) and Herpesvirus Infections and Treatments (10 papers). The work is most often cited by research in Animal Science and Zoology (130 citations), Endocrinology, Diabetes and Metabolism (199 citations) and Epidemiology (384 citations). Eiko Takahashi has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kengo Moriyama, Chizumi Yamada, Minoru Yamakado, Katsumi Yoshida, M Miyakawa, Hiroki Sugimori, Takashi Izuno, Ito H, Yukinobu Tohya and Yuji Inaba. Their work appears in journals such as Circulation, Journal of Applied Physiology and The Journal of Urology.
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.