Gergő Kovács

412 citations
12 papers · 292 · h-index 10

Impact in

  • Nephrology top 10%
    • Gout, Hyperuricemia, Uric Acid
    • Parkinson's Disease Mechanisms and Treatments
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

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

Gergő Kovács

12 papers receiving 289 citations

Peers

Gergő Kovács
Comparison fields: 5 of 59
  • Nephrology 41
  • Neurology 29
  • Molecular Biology 179
  • Immunology 46
  • Spectroscopy 38
Replace Sho-Ichi Yamagishi with:
Sho-Ichi Yamagishi Japan
Gaëtan Herinckx Belgium
M.T. García‐Silva Spain
Michela Cassanello Italy
Claus Rodemer Germany
Changchang Meng China
Yujie Li China
Julia Powers Becker Germany
Yu-Lu Cao China
Galina Baydakova Russia
Gergő Kovács relative to Sho-Ichi Yamagishi Japan Sho-Ichi Yamagishi's profile →
Citations per field
00.5×10×15×19.3×
Sho-Ichi Yamagishi · 1×
Citations per year

Countries citing papers authored by Gergő Kovács

Since Specialization
Citations

This map shows the geographic impact of Gergő 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 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 Kovács more than expected).

Fields of papers citing papers by Gergő Kovács

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 201984
2 202352
3 202137
4 202025
5 202119
6 201518
7 201914
8 201513
9 201811
10 202210
11 20236
12 20223

About Gergő Kovács

Gergő Kovács is a scholar working on Molecular Biology, Neurology, Physiology, Genetics and Nephrology, having authored 12 papers that have together received 292 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (3 papers), Pluripotent Stem Cells Research (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Alzheimer's disease research and treatments (2 papers), Inflammasome and immune disorders (2 papers), Genomics and Chromatin Dynamics (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Nephrology (41 citations), Neurology (29 citations), Molecular Biology (179 citations), Immunology (46 citations) and Spectroscopy (38 citations). Gergő Kovács has collaborated with scholars based in Hungary, Denmark and Germany. Frequent co-authors include Szilvia Benkő, Szilvia Szamosi, Zoltán Szekanecz, Melinda K. Pirity, Poul Henning Jensen, Lasse Reimer, Viktória Szabó, Izabella Bajusz, Emil Gregersen and Cristine Betzer. Their work appears in journals such as Scientific Reports, iScience, Journal of Neuroinflammation, Nature Communications and Archives of Biochemistry and Biophysics.

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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