Miguel Beato

37.6k citations
294 papers · 30.4k indexed · 9 hit papers · h-index 74

Impact in

Papers in

    • Estrogen and related hormone effects 92
    • Reproductive System and Pregnancy 47

Miguel Beato

293 papers receiving 29.3k citations

Hit Papers

Activation of the Src/p21ras/Erk pathway by progesterone receptor via cross-talk with estrogen receptor 1998 · 512 citations
512198320261997201110002.0k3.0k4.0k5.0k

Peers

Miguel Beato
Comparison fields: 5 of 147
  • Genetics 13.5k
  • Endocrinology, Diabetes and Metabolism 4.8k
  • Molecular Biology 18.5k
  • Behavioral Neuroscience 935
  • Immunology 4.5k
Replace Vincent Giguère with:
Vincent Giguère Canada
Benita S. Katzenellenbogen United States
Sophia Y. Tsai United States
Marc Montminy United States
Eric R. Prossnitz United States
Hinrich Gronemeyer France
Kazuhiko Umesono Japan
David J. Mangelsdorf United States
William B. Pratt United States
John D. Baxter United States
Miguel Beato relative to Vincent Giguère Canada Vincent Giguère's profile →
Citations per field
00.5×1.5×1.9×
Vincent Giguère · 1×
Citations per year

Countries citing papers authored by Miguel Beato

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Miguel Beato Line = papers co-authored together Miguel Beato links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20243
3 20221
4 201849
5 2016127
6 201625
7 2012101
8 200914
9 199933
10 199622
11 199427
12 1991197
13 19917
14 198915
15 19892
16 198792
17 198731
18 198695
19 197932
20 197828

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.

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