Gergő E. Kovács

413 citations
12 papers · 318 · h-index 10

Impact in

    • Gout, Hyperuricemia, Uric Acid
  • Spectroscopy top 10%
    • Advanced Proteomics Techniques and Applications

Papers in

Gergő E. Kovács

12 papers receiving 310 citations

Peers

Gergő E. Kovács
Comparison fields: 5 of 52
  • Nephrology 33
  • Spectroscopy 50
  • Neurology 35
  • Biological Psychiatry 3
  • Developmental Neuroscience 7
Replace Rosalie G. J. Rietjens with:
Rosalie G. J. Rietjens Netherlands
Hongqian Yang Sweden
Fokje Zijlstra Netherlands
Fabian Fischer Germany
Katarina Reis Sweden
Helena de Fatima Magliarelli France
José Bernardo Noronha‐Matos Portugal
William M. Rosencrans United States
Maura Samarani Italy
Gergő E. Kovács relative to Rosalie G. J. Rietjens Netherlands Rosalie G. J. Rietjens's profile →
Citations per field
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Rosalie G. J. Rietjens · 1×
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 202363
3 202139
4 202027
5 202120
6 201519
7 201915
8 201514
9 202213
10 201812
11 20236
12 20223

About Gergő E. Kovács

Gergő E. Kovács is a scholar working on Developmental Neuroscience, Neurology, Molecular Biology, Reproductive Medicine and Spectroscopy, having authored 12 papers that have together received 318 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Epigenetics and DNA Methylation (2 papers), Inflammasome and immune disorders (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Genomics and Chromatin Dynamics (1 paper), Advanced Proteomics Techniques and Applications (1 paper) and Sperm and Testicular Function (1 paper). The work is most often cited by research in Nephrology (33 citations), Spectroscopy (50 citations), Neurology (35 citations), Biological Psychiatry (3 citations) and Developmental Neuroscience (7 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, Jeff Op De Beeck, Simon Francis Thomsen and Steffen Thiel. Their work appears in journals such as Scientific Reports, Nature Communications, iScience, Stem Cells and Development and Genes.

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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