Tamás Korcsmáros

15.2k citations
107 papers · 4.1k indexed · 2 hit papers · h-index 32
Topics
Bioinformatics and Genomic Networks (31 papers)Autophagy in Disease and Therapy (17 papers)Gut microbiota and health (16 papers)

In The Last Decade

Tamás Korcsmáros

103 papers receiving 4.1k citations

Hit Papers

Structure and dynamics of molecular networks: A novel par...201320262017202120132016200400600

Peers

Tamás Korcsmáros
Comparison fields: 5 of 156
  • Molecular Biology 2.8k
  • Computational Theory and Mathematics 658
  • Epidemiology 521
  • Genetics 379
  • Oncology 361
Replace Peng Zhang with:
Peng Zhang China
Avner Schlessinger United States
Curtis T. Keith United States
Andrew Chatr‐aryamontri United States
Marcus Bantscheff Germany
Kenji Mizuguchi Japan
Joshua W. Modell United States
David R. Westhead United Kingdom
Philippe Sanséau United Kingdom
Diego di Bernardo Italy
Tamás Korcsmáros relative to Peng Zhang China Peng Zhang's profile →
Citations per field
00.5×1.5×1.9×
Peng Zhang · 1×
Citations per year

Countries citing papers authored by Tamás Korcsmáros

Since Specialization
Citations

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

Fields of papers citing papers by Tamás Korcsmáros

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamás Korcsmáros

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 22
4 6
5 15
6 22
7 2
8 29
9 16
10 4
11 164
12 32
13 20
14 27
15 29
16 18
17 19
18 29
19 20
20 4

About Tamás Korcsmáros

Tamás Korcsmáros is a scholar working on Aging, Molecular Biology and Cell Biology, having authored 107 papers that have together received 4.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (31 papers), Autophagy in Disease and Therapy (17 papers) and Gut microbiota and health (16 papers). The work is most often cited by research in Computational Theory and Mathematics (658 citations), Molecular Biology (2.8k citations) and Aging (53 citations). Tamás Korcsmáros has collaborated with scholars based in United Kingdom, Hungary and Belgium. Frequent co-authors include Péter Csermely, Dénes Türei, Ruth Nussinov, Julio Sáez-Rodríguez, Huba Kiss, Gábor London, Dezső Módos, Máté Szalay, I. Kovács and Csaba Böde. Their work appears in journals such as Nature Communications, Bioinformatics and Gastroenterology.

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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