Tamás Varga

2.0k total citations · 1 hit paper
19 papers, 1.5k citations indexed

About

Tamás Varga is a scholar working on Molecular Biology, Immunology and Physiology. According to data from OpenAlex, Tamás Varga has authored 19 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Immunology and 3 papers in Physiology. Recurrent topics in Tamás Varga's work include Immune cells in cancer (5 papers), Peroxisome Proliferator-Activated Receptors (4 papers) and Muscle Physiology and Disorders (3 papers). Tamás Varga is often cited by papers focused on Immune cells in cancer (5 papers), Peroxisome Proliferator-Activated Receptors (4 papers) and Muscle Physiology and Disorders (3 papers). Tamás Varga collaborates with scholars based in Hungary, United States and Germany. Tamás Varga's co-authors include László Nagy, Zsolt Czimmerer, Szilárd Póliska, Rémi Mounier, Bénédicte Chazaud, Attila Horváth, Sylvain Cuvellier, Péter Gogolák, Gaëtan Juban and Florent Dumont and has published in prestigious journals such as The Journal of Experimental Medicine, Immunity and The Journal of Immunology.

In The Last Decade

Tamás Varga

19 papers receiving 1.4k citations

Hit Papers

PPARs are a unique set of fatty acid regulated transcript... 2011 2026 2016 2021 2011 200 400 600

Peers

Tamás Varga
Comparison fields: 5 of 110
  • Molecular Biology 772
  • Immunology 378
  • Physiology 276
  • Epidemiology 177
  • Surgery 167
Replace Mee‐Sup Yoon with:
Mee‐Sup Yoon South Korea
Guoli Dai United States
Ramón Mauricio Coral‐Vázquez Mexico
Brian J. Poindexter United States
Abdul Waheed Khan Australia
Juan Carlos Calvo Argentina
Ana Guerrero United Kingdom
Katsuya Hirasaka Japan
Hideki Ito Japan
Cong Tang China
Mee‐Sup Yoon South Korea View profile →
Citations per field, relative to Tamás Varga
Tamás Varga · 1×
Citations per year, relative to Tamás Varga
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Countries citing papers authored by Tamás Varga

Since Specialization
Citations

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

Fields of papers citing papers by Tamás Varga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamás Varga

This figure shows the co-authorship network connecting the top 25 collaborators of Tamás Varga. A scholar is included among the top collaborators of Tamás Varga 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 Tamás Varga. Tamás Varga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
# Work Indexed citations
1 8
2 2
3 48
4 16
5
Endometrioid adenocarcinoma arising from adenomyosis: a case report.
1
6 8
7 41
8 36
9 156
10 138
11 36
12 24
13 76
14 38
15
PPARs are a unique set of fatty acid regulated transcription factors controlling both lipid metabolism and inflammation breakdown →
731
16 21
17 17
18 1
19 53

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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