Gergő E. Kovács

428 citations
12 papers · 311 · h-index 10

Impact in

    • Gout, Hyperuricemia, Uric Acid
    • Parkinson's Disease Mechanisms and Treatments
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • Pluripotent Stem Cells Research 3
    • Epigenetics and DNA Methylation 3
    • CRISPR and Genetic Engineering 2
    • Inflammasome and immune disorders 2
    • Genomics and Chromatin Dynamics 2
    • Parkinson's Disease Mechanisms and Treatments 2

Gergő E. Kovács

12 papers receiving 303 citations

Peers

Gergő E. Kovács
Comparison fields: 5 of 62
  • Nephrology 43
  • Neurology 30
  • Molecular Biology 185
  • Immunology 51
  • Spectroscopy 40
Replace Sho-Ichi Yamagishi with:
Sho-Ichi Yamagishi Japan
Gaëtan Herinckx Belgium
Guoxing Fang China
Changchang Meng China
Yuqing Yuan China
MengQi Zhang Canada
Gina Warner United States
Hiromi Hosoya Japan
Yandi Yang China
Lindsay Perusek United States
Gergő E. Kovács relative to Sho-Ichi Yamagishi Japan Sho-Ichi Yamagishi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Gergő E. Kovács

Since Specialization
Citations

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

Fields of papers citing papers by Gergő E. Kovács

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gergő E. Kovács. 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 Gergő E. Kovács. The network helps show where Gergő E. Kovács may publish in the future.

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 201987
2 202357
3 202139
4 202027
5 202120
6 201519
7 201915
8 201514
9 202213
10 201811
11 20236
12 20223

About Gergő E. Kovács

Gergő E. Kovács is a scholar working on Molecular Biology, Neurology, Developmental Neuroscience, Physiology and Nephrology, having authored 12 papers that have together received 311 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (3 papers), Epigenetics and DNA Methylation (3 papers), CRISPR and Genetic Engineering (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Alzheimer's disease research and treatments (2 papers), Inflammasome and immune disorders (2 papers), Genomics and Chromatin Dynamics (2 papers) and Genetics and Neurodevelopmental Disorders (2 papers). The work is most often cited by research in Nephrology (43 citations), Neurology (30 citations), Molecular Biology (185 citations), Immunology (51 citations) and Spectroscopy (40 citations). Gergő E. Kovács has collaborated with scholars based in Hungary, Denmark and Germany. Frequent co-authors include Szilvia Benkő, Zoltán Szekanecz, Szilvia Szamosi, Melinda Katalin Pirity, Lasse Reimer, Poul Henning Jensen, Izabella Bajusz, Viktória Szabó, Krisztina Tar and Woojin Scott Kim. Their work appears in journals such as Scientific Reports, iScience, Archives of Biochemistry and Biophysics, Frontiers in Neurology and Journal of Neuroinflammation.

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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