Takeshi Haseba
- Pathology and Forensic Medicine top 10%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 10%
- Epidemiology
- Public Health, Environmental and Occupational Health
- Co-authors
- Youkichi OhnoGuang ZhuMasamichi IshizakiWinston W.‐Y. KaoYutaka OhnoGregg DuesterK. MikamiIsao Yamamoto
- Topics
- Alcohol Consumption and Health Effects (26 papers)Eicosanoids and Hypertension Pharmacology (9 papers)Diet, Metabolism, and Disease (8 papers)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Takeshi Haseba
37 papers receiving 582 citations
Peers
Comparison fields: 5 of 93
- Pathology and Forensic Medicine 185
- Molecular Biology 166
- Radiology, Nuclear Medicine and Imaging 151
- Epidemiology 111
- Public Health, Environmental and Occupational Health 97
Countries citing papers authored by Takeshi Haseba
This map shows the geographic impact of Takeshi Haseba'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 Takeshi Haseba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takeshi Haseba more than expected).
Fields of papers citing papers by Takeshi Haseba
This network shows the impact of papers produced by Takeshi Haseba. 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 Takeshi Haseba. The network helps show where Takeshi Haseba may publish in the future.
Co-authorship network of co-authors of Takeshi Haseba
This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Haseba. A scholar is included among the top collaborators of Takeshi Haseba 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 Takeshi Haseba. Takeshi Haseba 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 | 0 | |
| 4 | 8 | |
| 5 | 19 | |
| 6 | 57 | |
| 7 | [Molecular evidences of non-ADH pathway in alcohol metabolism and Class III alcohol dehydrogenase (ADH3)]. | 2 |
| 8 | A database about alcohol metabolism and physiological changes in various drinking conditions : cases of moderate drinking of beer or shochu with or without meal in Japanese men with ALDH2^*1/^*2 genotype | 1 |
| 9 | 1 | |
| 10 | 12 | |
| 11 | 14 | |
| 12 | 35 | |
| 13 | 25 | |
| 14 | 35 | |
| 15 | 6 | |
| 16 | 37 | |
| 17 | 14 | |
| 18 | 25 | |
| 19 | 9 | |
| 20 | 7 |
About Takeshi Haseba
Takeshi Haseba is a scholar working on Pathology and Forensic Medicine, Biochemistry and Endocrinology, Diabetes and Metabolism, having authored 39 papers that have together received 597 indexed citations. Recurring topics across this work include Alcohol Consumption and Health Effects (26 papers), Eicosanoids and Hypertension Pharmacology (9 papers) and Diet, Metabolism, and Disease (8 papers). The work is most often cited by research in Pathology and Forensic Medicine (185 citations), Biochemistry (68 citations) and Radiology, Nuclear Medicine and Imaging (151 citations). Takeshi Haseba has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Youkichi Ohno, Guang Zhu, Masamichi Ishizaki, Winston W.‐Y. Kao, Yutaka Ohno, Gregg Duester, K. Mikami, Isao Yamamoto, Akio Shimizu and Tung‐Tien Sun. Their work appears in journals such as Hepatology, Brain Research and International Journal of Molecular Sciences.
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.