Rafael Peña‐Miller
- Genetics top 5%
- Molecular Medicine top 1%
- Molecular Biology
- Ecology top 10%
- Endocrinology top 5%
- Co-authors
- Robert BeardmoreÁlvaro San MillánAyari Fuentes-HernándezR. Craig MacLeanHinrich SchulenburgMacarena Toll‐RieraGunther JansenJerónimo Rodríguez-Beltrán
- Topics
- Evolution and Genetic Dynamics (15 papers)Antibiotic Resistance in Bacteria (11 papers)Bacterial Genetics and Biotechnology (5 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- MexicoUnited KingdomSpain
In The Last Decade
Rafael Peña‐Miller
28 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 91
- Genetics 535
- Molecular Medicine 468
- Molecular Biology 435
- Ecology 253
- Endocrinology 166
Countries citing papers authored by Rafael Peña‐Miller
This map shows the geographic impact of Rafael Peña‐Miller'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 Rafael Peña‐Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafael Peña‐Miller more than expected).
Fields of papers citing papers by Rafael Peña‐Miller
This network shows the impact of papers produced by Rafael Peña‐Miller. 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 Rafael Peña‐Miller. The network helps show where Rafael Peña‐Miller may publish in the future.
Co-authorship network of co-authors of Rafael Peña‐Miller
This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Peña‐Miller. A scholar is included among the top collaborators of Rafael Peña‐Miller 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 Rafael Peña‐Miller. Rafael Peña‐Miller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 23 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 4 | |
| 6 | 130 | |
| 7 | 23 | |
| 8 | 56 | |
| 9 | 9 | |
| 10 | 65 | |
| 11 | 22 | |
| 12 | 185 | |
| 13 | 36 | |
| 14 | 19 | |
| 15 | 18 | |
| 16 | 15 | |
| 17 | 30 | |
| 18 | 11 | |
| 19 | 27 | |
| 20 | uvby - β photoelectric photometry of Cepheid stars | 1 |
About Rafael Peña‐Miller
Rafael Peña‐Miller is a scholar working on Molecular Medicine, Endocrinology and Genetics, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (15 papers), Antibiotic Resistance in Bacteria (11 papers) and Bacterial Genetics and Biotechnology (5 papers). The work is most often cited by research in Molecular Medicine (468 citations), Endocrinology (166 citations) and Applied Microbiology and Biotechnology (64 citations). Rafael Peña‐Miller has collaborated with scholars based in Mexico, United Kingdom and Spain. Frequent co-authors include Robert Beardmore, Álvaro San Millán, Ayari Fuentes-Hernández, R. Craig MacLean, Hinrich Schulenburg, Macarena Toll‐Riera, Gunther Jansen, Jerónimo Rodríguez-Beltrán, Philip Rosenstiel and David Laehnemann. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.
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.