Gerardo A. De Blas
- Molecular Biology
- Reproductive Medicine top 2%
- Cell Biology top 5%
- Public Health, Environmental and Occupational Health top 10%
- Physiology
- Co-authors
- Luis S. MayorgaClaudia N. TomesCarlos M. RoggeroSilvia A. BelmonteAlberto DarszonClaudia L. TreviñoMartín A. PavarottiMarcela A. Michaut
- Topics
- Cellular transport and secretion (12 papers)Lipid Membrane Structure and Behavior (9 papers)Sperm and Testicular Function (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- ArgentinaMexicoUnited States
In The Last Decade
Gerardo A. De Blas
23 papers receiving 820 citations
Peers
Comparison fields: 5 of 82
- Molecular Biology 424
- Reproductive Medicine 329
- Cell Biology 289
- Public Health, Environmental and Occupational Health 262
- Physiology 142
Countries citing papers authored by Gerardo A. De Blas
This map shows the geographic impact of Gerardo A. De Blas'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 Gerardo A. De Blas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerardo A. De Blas more than expected).
Fields of papers citing papers by Gerardo A. De Blas
This network shows the impact of papers produced by Gerardo A. De Blas. 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 Gerardo A. De Blas. The network helps show where Gerardo A. De Blas may publish in the future.
Co-authorship network of co-authors of Gerardo A. De Blas
This figure shows the co-authorship network connecting the top 25 collaborators of Gerardo A. De Blas. A scholar is included among the top collaborators of Gerardo A. De Blas 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 Gerardo A. De Blas. Gerardo A. De Blas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 40 | |
| 3 | 8 | |
| 4 | 18 | |
| 5 | 9 | |
| 6 | 28 | |
| 7 | 31 | |
| 8 | 41 | |
| 9 | 12 | |
| 10 | 32 | |
| 11 | 7 | |
| 12 | 24 | |
| 13 | 83 | |
| 14 | 83 | |
| 15 | 59 | |
| 16 | 46 | |
| 17 | 25 | |
| 18 | 49 | |
| 19 | 107 | |
| 20 | 54 |
About Gerardo A. De Blas
Gerardo A. De Blas is a scholar working on Cell Biology, Reproductive Medicine and Behavioral Neuroscience, having authored 23 papers that have together received 826 indexed citations. Recurring topics across this work include Cellular transport and secretion (12 papers), Lipid Membrane Structure and Behavior (9 papers) and Sperm and Testicular Function (6 papers). The work is most often cited by research in Reproductive Medicine (329 citations), Cell Biology (289 citations) and Physiology (66 citations). Gerardo A. De Blas has collaborated with scholars based in Argentina, Mexico and United States. Frequent co-authors include Luis S. Mayorga, Claudia N. Tomes, Carlos M. Roggero, Silvia A. Belmonte, Alberto Darszon, Claudia L. Treviño, Martín A. Pavarotti, Marcela A. Michaut, Matías A. Bustos and Han Dai. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.