Yazmín Macotela
- Physiology top 2%
- Molecular Biology top 10%
- Epidemiology top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Co-authors
- C. Ronald KahnJérémie BoucherCarmen ClappGonzalo Martı́nez de la EscaleraMarcelo A. MoriThien T. TranBrice EmanuelliYu‐Hua Tseng
- Topics
- Adipose Tissue and Metabolism (15 papers)Adipokines, Inflammation, and Metabolic Diseases (12 papers)Growth Hormone and Insulin-like Growth Factors (9 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- MexicoUnited StatesGermany
In The Last Decade
Yazmín Macotela
43 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 109
- Physiology 1.1k
- Molecular Biology 923
- Epidemiology 657
- Endocrinology, Diabetes and Metabolism 535
- Cardiology and Cardiovascular Medicine 373
Countries citing papers authored by Yazmín Macotela
This map shows the geographic impact of Yazmín Macotela'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 Yazmín Macotela with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yazmín Macotela more than expected).
Fields of papers citing papers by Yazmín Macotela
This network shows the impact of papers produced by Yazmín Macotela. 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 Yazmín Macotela. The network helps show where Yazmín Macotela may publish in the future.
Co-authorship network of co-authors of Yazmín Macotela
This figure shows the co-authorship network connecting the top 25 collaborators of Yazmín Macotela. A scholar is included among the top collaborators of Yazmín Macotela 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 Yazmín Macotela. Yazmín Macotela 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 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 7 | |
| 6 | 11 | |
| 7 | 13 | |
| 8 | 46 | |
| 9 | 79 | |
| 10 | 54 | |
| 11 | 76 | |
| 12 | 246 | |
| 13 | 193 | |
| 14 | 26 | |
| 15 | 70 | |
| 16 | 16 | |
| 17 | 17 | |
| 18 | 44 | |
| 19 | 11 | |
| 20 | 65 |
About Yazmín Macotela
Yazmín Macotela is a scholar working on Endocrine and Autonomic Systems, Physiology and Endocrinology, Diabetes and Metabolism, having authored 44 papers that have together received 2.7k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (15 papers), Adipokines, Inflammation, and Metabolic Diseases (12 papers) and Growth Hormone and Insulin-like Growth Factors (9 papers). The work is most often cited by research in Physiology (1.1k citations), Aging (62 citations) and Endocrine and Autonomic Systems (232 citations). Yazmín Macotela has collaborated with scholars based in Mexico, United States and Germany. Frequent co-authors include C. Ronald Kahn, Jérémie Boucher, Carmen Clapp, Gonzalo Martı́nez de la Escalera, Marcelo A. Mori, Thien T. Tran, Brice Emanuelli, Yu‐Hua Tseng, Stéphane Gesta and Kevin Y. Lee. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.