Éva Korpos

2.0k citations
35 papers · 1.5k · h-index 19

Impact in

  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Barrier Structure and Function Studies
    • Cell Adhesion Molecules Research

Papers in

Éva Korpos

34 papers receiving 1.5k citations

Peers

Éva Korpos
Comparison fields: 5 of 98
  • Neurology 257
  • Immunology and Allergy 165
  • Immunology 317
  • Cancer Research 178
  • Cell Biology 160
Replace Tomohiko Usui with:
Tomohiko Usui Japan
Peetra U. Magnusson Sweden
Per Flodby United States
Elias Shezen Israel
Claudia Korn Germany
Nancy Tresser United States
Ofelia M. Martínez-Estrada Spain
Martin Barron United Kingdom
Volker Spindler Germany
Christopher Harp United States
Éva Korpos relative to Tomohiko Usui Japan Tomohiko Usui's profile →
Citations per field
00.5×1.6×
Tomohiko Usui · 1×
Citations per year

Countries citing papers authored by Éva Korpos

Since Specialization
Citations

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

Fields of papers citing papers by Éva Korpos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009214
2 2015180
3 2017150
4 2012120
5 201695
6 201480
7 200974
8 200968
9 200954
10 201247
11 202139
12 201838
13 200734
14 201832
15 200031
16 200630
17 200827
18 200519
19 201418
20 200717

About Éva Korpos

Éva Korpos is a scholar working on Molecular Biology, Surgery, Immunology, Genetics and Immunology and Allergy, having authored 35 papers that have together received 1.5k indexed citations. Recurring topics across this work include Diabetes and associated disorders (8 papers), Cell Adhesion Molecules Research (8 papers), Pancreatic function and diabetes (7 papers), Protease and Inhibitor Mechanisms (6 papers), Proteoglycans and glycosaminoglycans research (6 papers), Immunotherapy and Immune Responses (4 papers), Tissue Engineering and Regenerative Medicine (4 papers) and Diabetes Management and Research (3 papers). The work is most often cited by research in Neurology (257 citations), Immunology and Allergy (165 citations), Immunology (317 citations), Cancer Research (178 citations) and Cell Biology (160 citations). Éva Korpos has collaborated with scholars based in Germany, Hungary and United States. Frequent co-authors include Lydia Sorokin, Jian Song, Chuan Wu, Rupert Hallmann, Xueli Zhang, Hanna Gerwien, Karin Loser, Michael Schäfers, Ghislain Opdenakker and Nadir Kadri. Their work appears in journals such as Matrix Biology, Diabetes, eLife, The Journal of Immunology and Pharmaceuticals.

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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