Éva Korpos

2.1k citations
39 papers · 1.6k · h-index 19

Impact in

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

Papers in

Éva Korpos

38 papers receiving 1.6k citations

Peers

Éva Korpos
Comparison fields: 5 of 99
  • Neurology 300
  • Immunology and Allergy 179
  • Immunology 330
  • Cancer Research 190
  • Cell Biology 167
Replace Peetra Ulrica Magnusson with:
Peetra Ulrica Magnusson Sweden
Per Flodby United States
Elias Shezen Israel
Daniel R. Saban United States
Marco Arese Italy
Maria Gabriele Bixel Germany
Domizia Vecchio Italy
Matina Economopoulou Germany
Manuel Deprez Belgium
Nancy J. Tresser United States
Éva Korpos relative to Peetra Ulrica Magnusson Sweden Peetra Ulrica Magnusson's profile →
Citations per field
00.5×2×2.6×
Peetra Ulrica Magnusson · 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 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009217
2 2015191
3 2017153
4 2012130
5 201697
6 201488
7 200976
8 200973
9 201570
10 200957
11 201244
12 202143
13 201840
14 201837
15 200736
16 200034
17 200631
18 200828
19 200520
20 201419

About Éva Korpos

Éva Korpos is a scholar working on Immunology and Allergy, Neurology, Immunology, Cancer Research and Cell Biology, having authored 39 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (9 papers), Diabetes and associated disorders (8 papers), Pancreatic function and diabetes (7 papers), Protease and Inhibitor Mechanisms (6 papers), Proteoglycans and glycosaminoglycans research (6 papers), Tissue Engineering and Regenerative Medicine (4 papers), Immunotherapy and Immune Responses (4 papers) and Barrier Structure and Function Studies (4 papers). The work is most often cited by research in Neurology (300 citations), Immunology and Allergy (179 citations), Immunology (330 citations), Cancer Research (190 citations) and Cell Biology (167 citations). Éva Korpos has collaborated with scholars based in Germany, Hungary and United States. Frequent co-authors include Lydia M. Sorokin, Jian Song, Chuan Wu, Rupert Hallmann, Xueli Zhang, Hanna Gerwien, Karin Loser, Melanie‐Jane Hannocks, Michael Andreas Schäfers and Nadir Kadri. Their work appears in journals such as Matrix Biology, Diabetes, Pharmaceuticals, The Journal of Immunology and International Journal of Medical Microbiology.

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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