Miguel Beato
Impact in
- Genetics top 0.01%
- Estrogen and related hormone effects
-
- Hormonal Regulation and Hypertension
Papers in
- Genetics 119
- Estrogen and related hormone effects 92
- Immunology 66
- Reproductive System and Pregnancy 47
- Co-authors
- Günther SchützPeter HerrlichMathias TrussGuntram SuskeBruce BlumbergManuel MarkRonald M. EvansPierre Chambon
- Journals
- Nucleic Acids Research (23 papers)Journal of Biological Chemistry (15 papers)The EMBO Journal (15 papers)Molecular and Cellular Biology (15 papers)The Journal of Steroid Biochemistry and Molecular Biology (14 papers)
- Partner nations
- GermanySpainUnited States
In The Last Decade
Miguel Beato
293 papers receiving 29.3k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Genetics 13.5k
- Endocrinology, Diabetes and Metabolism 4.8k
- Molecular Biology 18.5k
- Behavioral Neuroscience 935
- Immunology 4.5k
Countries citing papers authored by Miguel Beato
This map shows the geographic impact of Miguel Beato'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 Miguel Beato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miguel Beato more than expected).
Fields of papers citing papers by Miguel Beato
This network shows the impact of papers produced by Miguel Beato. 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 Miguel Beato. The network helps show where Miguel Beato may publish in the future.
Co-authors
The 25 scholars most cited alongside Miguel Beato, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 3 | |
| 3 | 2022 | 1 | |
| 4 | 2018 | 49 | |
| 5 | 2016 | 127 | |
| 6 | 2016 | 25 | |
| 7 | 2012 | 101 | |
| 8 | 2009 | 14 | |
| 9 | 1999 | 33 | |
| 10 | 1996 | 22 | |
| 11 | 1994 | 27 | |
| 12 | 1991 | 197 | |
| 13 | 1991 | 7 | |
| 14 | 1989 | 15 | |
| 15 | 1989 | 2 | |
| 16 | 1987 | 92 | |
| 17 | 1987 | 31 | |
| 18 | 1986 | 95 | |
| 19 | 1979 | 32 | |
| 20 | 1978 | 28 |
About Miguel Beato
Miguel Beato is a scholar working on Genetics, Immunology, Molecular Biology, Behavioral Neuroscience and Reproductive Medicine, having authored 294 papers that have together received 30.4k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (92 papers), Genomics and Chromatin Dynamics (77 papers), RNA Research and Splicing (55 papers), Reproductive System and Pregnancy (47 papers), RNA and protein synthesis mechanisms (28 papers), DNA and Nucleic Acid Chemistry (24 papers), Cytokine Signaling Pathways and Interactions (20 papers) and Reproductive Biology and Fertility (16 papers). The work is most often cited by research in Genetics (13.5k citations), Endocrinology, Diabetes and Metabolism (4.8k citations), Molecular Biology (18.5k citations), Behavioral Neuroscience (935 citations) and Immunology (4.5k citations). Miguel Beato has collaborated with scholars based in Germany, Spain and United States. Frequent co-authors include Günther Schütz, Peter Herrlich, Mathias Truss, Guntram Suske, Bruce Blumberg, Manuel Mark, Ronald M. Evans, Pierre Chambon, Carl S. Thummel and Kazuhiko Umesono. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry, The EMBO Journal, Molecular and Cellular Biology and The Journal of Steroid Biochemistry and Molecular Biology.
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.