Péter Tamás

1.7k citations
36 papers · 1.4k · h-index 15

Impact in

Papers in

Péter Tamás

32 papers receiving 1.3k citations

Peers

Péter Tamás
Comparison fields: 5 of 92
  • Immunology 475
  • Obstetrics and Gynecology 130
  • Immunology and Allergy 86
  • Cell Biology 212
  • Molecular Biology 610
Replace Caroline Saucier with:
Caroline Saucier Canada
F. vom Dorp Germany
Karl X. Chai United States
Sara M. Camp United States
Myra A. Lipes United States
Sarah Garrido‐Urbani Switzerland
Ute Raffetseder Germany
Shiang‐Jong Tzeng Taiwan
Harald Illges Germany
Rong Liu China
Péter Tamás relative to Caroline Saucier Canada Caroline Saucier's profile →
Citations per field
00.5×3.3×
Caroline Saucier · 1×
Citations per year

Countries citing papers authored by Péter Tamás

Since Specialization
Citations

This map shows the geographic impact of Péter Tamás'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 Péter Tamás with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Péter Tamás more than expected).

Fields of papers citing papers by Péter Tamás

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Péter Tamás. 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 Péter Tamás. The network helps show where Péter Tamás may publish in the future.

Co-authors

The 25 scholars most cited alongside Péter Tamás, 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 Péter Tamás Line = papers co-authored together Péter Tamás links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006276
2 2011217
3 2002199
4 2005122
5 2003102
6 200984
7 201350
8 199837
9 200731
10 201926
11 201322
12 201721
13 201619
14 200119
15 201416
16 199913
17 200512
18 202212
19 200511
20 200710

About Péter Tamás

Péter Tamás is a scholar working on Obstetrics and Gynecology, Molecular Biology, Pediatrics, Perinatology and Child Health, Immunology and Pulmonary and Respiratory Medicine, having authored 36 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (9 papers), Birth, Development, and Health (5 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Immune Cell Function and Interaction (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), T-cell and B-cell Immunology (2 papers), Calcium signaling and nucleotide metabolism (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Immunology (475 citations), Obstetrics and Gynecology (130 citations), Immunology and Allergy (86 citations), Cell Biology (212 citations) and Molecular Biology (610 citations). Péter Tamás has collaborated with scholars based in Hungary, United Kingdom and Germany. Frequent co-authors include László Buday, Doreen A. Cantrell, Lívius Wunderlich, Rosemary G. Clarke, D. Grahame Hardie, Kevin Green, Simon A. Hawley, Kirsty J. Mustard, David K. Finlay and Andrew N. Macintyre. Their work appears in journals such as Gynecologic and Obstetric Investigation, Cellular Signalling, European Journal of Obstetrics & Gynecology and Reproductive Biology, Acta Obstetricia Et Gynecologica Scandinavica and Fertility and Sterility.

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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