Kazuhiko Ohe
- Surgery top 10%
- General Health Professions top 5%
- Artificial Intelligence top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Public Health, Environmental and Occupational Health top 5%
- Co-authors
- Hideo YasunagaKayo WakiHiromasa HoriguchiTomoaki ImamuraHiroo IdeEiji AramakiShinya MatsudaTakeshi Imai
- Topics
- Biomedical Text Mining and Ontologies (40 papers)Semantic Web and Ontologies (23 papers)Mobile Health and mHealth Applications (20 papers)
- Partner nations
- JapanUnited StatesIreland
In The Last Decade
Kazuhiko Ohe
179 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 169
- Surgery 473
- General Health Professions 443
- Artificial Intelligence 377
- Endocrinology, Diabetes and Metabolism 373
- Public Health, Environmental and Occupational Health 337
Countries citing papers authored by Kazuhiko Ohe
This map shows the geographic impact of Kazuhiko Ohe'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 Kazuhiko Ohe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuhiko Ohe more than expected).
Fields of papers citing papers by Kazuhiko Ohe
This network shows the impact of papers produced by Kazuhiko Ohe. 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 Kazuhiko Ohe. The network helps show where Kazuhiko Ohe may publish in the future.
Co-authorship network of co-authors of Kazuhiko Ohe
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuhiko Ohe. A scholar is included among the top collaborators of Kazuhiko Ohe 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 Kazuhiko Ohe. Kazuhiko Ohe 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 | 3 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 4 | |
| 10 | 11 | |
| 11 | 3 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 11 | |
| 16 | 9 | |
| 17 | 3 | |
| 18 | [Significance of standardizing electronic data in the national program for health checkups and guidance]. | 0 |
| 19 | UMIN--key information infrastructure for the Japanese medical community. | 1 |
| 20 | 0 |
About Kazuhiko Ohe
Kazuhiko Ohe is a scholar working on Health Information Management, Issues, ethics and legal aspects and Geriatrics and Gerontology, having authored 196 papers that have together received 2.8k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (40 papers), Semantic Web and Ontologies (23 papers) and Mobile Health and mHealth Applications (20 papers). The work is most often cited by research in Health Information Management (219 citations), Health Informatics (55 citations) and Family Practice (74 citations). Kazuhiko Ohe has collaborated with scholars based in Japan, United States and Ireland. Frequent co-authors include Hideo Yasunaga, Kayo Waki, Hiromasa Horiguchi, Tomoaki Imamura, Hiroo Ide, Eiji Aramaki, Shinya Matsuda, Takeshi Imai, Yutaka Matsuyama and Yoshimasa Kawazoe. Their work appears in journals such as PLoS ONE, JNCI Journal of the National Cancer Institute and Diabetes.
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.