Shino Oba
- Public Health, Environmental and Occupational Health top 2%
- Physiology top 10%
- Nutrition and Dietetics top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Pathology and Forensic Medicine top 10%
- Co-authors
- Chisato NagataKozue NakamuraHiroyuki ShimizuNaoyoshi TakatsukaToshiaki KawachiKaori FujiiTetsuya MizoueMitsuhiko Noda
- Topics
- Nutritional Studies and Diet (22 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers)Diet and metabolism studies (7 papers)
- Partner nations
- JapanUnited StatesPakistan
In The Last Decade
Shino Oba
50 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 111
- Public Health, Environmental and Occupational Health 596
- Physiology 343
- Nutrition and Dietetics 258
- Endocrinology, Diabetes and Metabolism 243
- Pathology and Forensic Medicine 191
Countries citing papers authored by Shino Oba
This map shows the geographic impact of Shino Oba'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 Shino Oba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shino Oba more than expected).
Fields of papers citing papers by Shino Oba
This network shows the impact of papers produced by Shino Oba. 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 Shino Oba. The network helps show where Shino Oba may publish in the future.
Co-authorship network of co-authors of Shino Oba
This figure shows the co-authorship network connecting the top 25 collaborators of Shino Oba. A scholar is included among the top collaborators of Shino Oba 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 Shino Oba. Shino Oba 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 | 6 | |
| 3 | 13 | |
| 4 | 6 | |
| 5 | 25 | |
| 6 | 48 | |
| 7 | 47 | |
| 8 | 88 | |
| 9 | 80 | |
| 10 | 101 | |
| 11 | 高山における自己申告糖尿病と全死因,心血管疾患,及び癌による死亡リスク:日本における集団に基づく前向きコホート研究 | 1 |
| 12 | 52 | |
| 13 | 1 | |
| 14 | 31 | |
| 15 | 8 | |
| 16 | 53 | |
| 17 | 52 | |
| 18 | 15 | |
| 19 | 111 | |
| 20 | 11 |
About Shino Oba
Shino Oba is a scholar working on Public Health, Environmental and Occupational Health, Nutrition and Dietetics and Endocrinology, Diabetes and Metabolism, having authored 50 papers that have together received 1.4k indexed citations. Recurring topics across this work include Nutritional Studies and Diet (22 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers) and Diet and metabolism studies (7 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (596 citations), Sensory Systems (92 citations) and Nutrition and Dietetics (258 citations). Shino Oba has collaborated with scholars based in Japan, United States and Pakistan. Frequent co-authors include Chisato Nagata, Kozue Nakamura, Hiroyuki Shimizu, Naoyoshi Takatsuka, Toshiaki Kawachi, Kaori Fujii, Tetsuya Mizoue, Mitsuhiko Noda, Shoichiro Tsugane and Akiko Nanri. Their work appears in journals such as PLoS ONE, American Journal of Clinical Nutrition and American Journal of Epidemiology.
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.