Adrián Soto-Mota
- Physiology top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Molecular Biology
- Public Health, Environmental and Occupational Health
- Cell Biology
- Co-authors
- Nicholas G. NorwitzKieran ClarkeRhys EvansDavid S. LudwigDavid L. FeldmanStephen C. CunnaneÉtienne Myette‐CôtéIsaac Núñez
- Topics
- Diet and metabolism studies (23 papers)Diet, Metabolism, and Disease (13 papers)Nutritional Studies and Diet (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEAmerican Journal of Clinical Nutrition
- Partner nations
- MexicoUnited KingdomUnited States
In The Last Decade
Adrián Soto-Mota
48 papers receiving 567 citations
Peers
Comparison fields: 5 of 95
- Physiology 365
- Endocrinology, Diabetes and Metabolism 194
- Molecular Biology 95
- Public Health, Environmental and Occupational Health 61
- Cell Biology 60
Countries citing papers authored by Adrián Soto-Mota
This map shows the geographic impact of Adrián Soto-Mota'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 Adrián Soto-Mota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrián Soto-Mota more than expected).
Fields of papers citing papers by Adrián Soto-Mota
This network shows the impact of papers produced by Adrián Soto-Mota. 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 Adrián Soto-Mota. The network helps show where Adrián Soto-Mota may publish in the future.
Co-authorship network of co-authors of Adrián Soto-Mota
This figure shows the co-authorship network connecting the top 25 collaborators of Adrián Soto-Mota. A scholar is included among the top collaborators of Adrián Soto-Mota 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 Adrián Soto-Mota. Adrián Soto-Mota 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 6 | |
| 8 | 6 | |
| 9 | 6 | |
| 10 | 2 | |
| 11 | 9 | |
| 12 | 1 | |
| 13 | 11 | |
| 14 | 0 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 11 | |
| 18 | 1 | |
| 19 | 16 | |
| 20 | 25 |
About Adrián Soto-Mota
Adrián Soto-Mota is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Clinical Biochemistry, having authored 56 papers that have together received 570 indexed citations. Recurring topics across this work include Diet and metabolism studies (23 papers), Diet, Metabolism, and Disease (13 papers) and Nutritional Studies and Diet (6 papers). The work is most often cited by research in Physiology (365 citations), Endocrinology, Diabetes and Metabolism (194 citations) and Clinical Biochemistry (43 citations). Adrián Soto-Mota has collaborated with scholars based in Mexico, United Kingdom and United States. Frequent co-authors include Nicholas G. Norwitz, Kieran Clarke, Rhys Evans, David S. Ludwig, David L. Feldman, Stephen C. Cunnane, Étienne Myette‐Côté, Isaac Núñez, Matthew J. Budoff and Mark A. Pereira. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Clinical Nutrition.
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.