Akiko Nogi
- Endocrinology, Diabetes and Metabolism top 5%
- Physiology top 10%
- Epidemiology
- Public Health, Environmental and Occupational Health top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Erdembileg AnuuradByambaa EnkhmaaKuninori ShiwakuK ShimonoYosuke YamaneKeiko KitajimaTsendsuren OyunsurenY. Yamane
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers)Obesity, Physical Activity, Diet (5 papers)Diet, Metabolism, and Disease (4 papers)
- Partner nations
- JapanMongoliaSouth Korea
In The Last Decade
Akiko Nogi
20 papers receiving 884 citations
Peers
Comparison fields: 5 of 102
- Endocrinology, Diabetes and Metabolism 289
- Physiology 210
- Epidemiology 198
- Public Health, Environmental and Occupational Health 184
- Cardiology and Cardiovascular Medicine 178
Countries citing papers authored by Akiko Nogi
This map shows the geographic impact of Akiko Nogi'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 Akiko Nogi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akiko Nogi more than expected).
Fields of papers citing papers by Akiko Nogi
This network shows the impact of papers produced by Akiko Nogi. 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 Akiko Nogi. The network helps show where Akiko Nogi may publish in the future.
Co-authorship network of co-authors of Akiko Nogi
This figure shows the co-authorship network connecting the top 25 collaborators of Akiko Nogi. A scholar is included among the top collaborators of Akiko Nogi 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 Akiko Nogi. Akiko Nogi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 30 | |
| 7 | 2 | |
| 8 | 104 | |
| 9 | 52 | |
| 10 | 41 | |
| 11 | 28 | |
| 12 | 8 | |
| 13 | 3 | |
| 14 | Weight loss and improbement of metabolic syndrome by intervention program based on health education | 1 |
| 15 | 128 | |
| 16 | 2 | |
| 17 | 78 | |
| 18 | 351 | |
| 19 | 3 | |
| 20 | 79 |
About Akiko Nogi
Akiko Nogi is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmacy and Nutrition and Dietetics, having authored 20 papers that have together received 921 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Obesity, Physical Activity, Diet (5 papers) and Diet, Metabolism, and Disease (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (289 citations), Physiology (210 citations) and Cardiology and Cardiovascular Medicine (178 citations). Akiko Nogi has collaborated with scholars based in Japan, Mongolia and South Korea. Frequent co-authors include Erdembileg Anuurad, Byambaa Enkhmaa, Kuninori Shiwaku, K Shimono, Yosuke Yamane, Keiko Kitajima, Tsendsuren Oyunsuren, Y. Yamane, Masayuki Yamasaki and Kenji Kitajima. Their work appears in journals such as Journal of Biological Chemistry, Journal of Lipid Research and International Journal of Obesity.
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.