Carmen Beltrán
- Reproductive Medicine top 0.5%
- Molecular Biology top 10%
- Public Health, Environmental and Occupational Health top 2%
- Cellular and Molecular Neuroscience top 5%
- Physiology top 0.5%
- Co-authors
- Alberto DarszonClaudia L. TreviñoTakuya NishigakiRicardo FelixNathan NelsonChristopher D. WoodHannah NelsonBlanca E. Galindo
- Topics
- Neurobiology and Insect Physiology Research (19 papers)Sperm and Testicular Function (12 papers)Ion channel regulation and function (12 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryPhysiological Reviews
- Partner nations
- MexicoUnited StatesSpain
In The Last Decade
Carmen Beltrán
50 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 104
- Reproductive Medicine 1.0k
- Molecular Biology 969
- Public Health, Environmental and Occupational Health 735
- Cellular and Molecular Neuroscience 472
- Physiology 359
Countries citing papers authored by Carmen Beltrán
This map shows the geographic impact of Carmen Beltrán'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 Carmen Beltrán with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carmen Beltrán more than expected).
Fields of papers citing papers by Carmen Beltrán
This network shows the impact of papers produced by Carmen Beltrán. 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 Carmen Beltrán. The network helps show where Carmen Beltrán may publish in the future.
Co-authorship network of co-authors of Carmen Beltrán
This figure shows the co-authorship network connecting the top 25 collaborators of Carmen Beltrán. A scholar is included among the top collaborators of Carmen Beltrán 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 Carmen Beltrán. Carmen Beltrán is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 25 | |
| 4 | 6 | |
| 5 | 31 | |
| 6 | 27 | |
| 7 | 19 | |
| 8 | 36 | |
| 9 | 28 | |
| 10 | 43 | |
| 11 | 11 | |
| 12 | 56 | |
| 13 | 112 | |
| 14 | 158 | |
| 15 | 55 | |
| 16 | 81 | |
| 17 | 15 | |
| 18 | 35 | |
| 19 | 5 | |
| 20 | 9 |
About Carmen Beltrán
Carmen Beltrán is a scholar working on Reproductive Medicine, Physiology and Cellular and Molecular Neuroscience, having authored 50 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (19 papers), Sperm and Testicular Function (12 papers) and Ion channel regulation and function (12 papers). The work is most often cited by research in Reproductive Medicine (1.0k citations), Physiology (359 citations) and Sensory Systems (182 citations). Carmen Beltrán has collaborated with scholars based in Mexico, United States and Spain. Frequent co-authors include Alberto Darszon, Claudia L. Treviño, Takuya Nishigaki, Ricardo Felix, Nathan Nelson, Christopher D. Wood, Hannah Nelson, Blanca E. Galindo, Carmen J. Serrano and Takato Noumi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Physiological Reviews.
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.