Péter Kovács

66.7k total citations · 3 hit papers
569 papers, 14.4k citations indexed

About

Péter Kovács is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Péter Kovács has authored 569 papers receiving a total of 14.4k indexed citations (citations by other indexed papers that have themselves been cited), including 291 papers in Molecular Biology, 128 papers in Physiology and 92 papers in Genetics. Recurrent topics in Péter Kovács's work include Adipose Tissue and Metabolism (84 papers), Protist diversity and phylogeny (79 papers) and Adipokines, Inflammation, and Metabolic Diseases (46 papers). Péter Kovács is often cited by papers focused on Adipose Tissue and Metabolism (84 papers), Protist diversity and phylogeny (79 papers) and Adipokines, Inflammation, and Metabolic Diseases (46 papers). Péter Kovács collaborates with scholars based in Hungary, Germany and United States. Péter Kovács's co-authors include Michael Stümvoll, Matthias Blüher, Nora Klöting, Mathias Faßhauer, Michael P. Schön, G. Csaba, Anke Tönjes, Yvonne Böttcher, Janin Berndt and Ingrid Klöting and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Gastroenterology.

In The Last Decade

Péter Kovács

559 papers receiving 14.0k citations

Hit Papers

68Ga-DOTA-Tyr3-Octreotide PET in Neuroendocrine Tumors: C... 2005 2026 2012 2019 2007 2010 2005 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Péter Kovács Hungary 54 4.9k 3.9k 3.8k 2.2k 1.8k 569 14.4k
Marc K. Hellerstein United States 73 5.3k 1.1× 5.9k 1.5× 3.8k 1.0× 2.4k 1.1× 1.1k 0.6× 297 19.1k
Irshad H. Chaudry United States 73 5.2k 1.1× 2.1k 0.6× 6.4k 1.7× 3.0k 1.4× 1.5k 0.8× 510 23.1k
Kiyoshi Mori Japan 70 5.1k 1.0× 2.4k 0.6× 3.5k 0.9× 2.7k 1.2× 897 0.5× 439 21.5k
Hans‐Georg Joost Germany 63 6.6k 1.3× 3.8k 1.0× 2.0k 0.5× 2.5k 1.1× 1.8k 1.0× 277 13.6k
Garth J. S. Cooper New Zealand 66 6.7k 1.4× 5.7k 1.5× 3.7k 1.0× 3.5k 1.6× 1.2k 0.6× 282 17.1k
John A. Wagner United States 63 5.9k 1.2× 1.9k 0.5× 2.1k 0.5× 1.5k 0.7× 1.1k 0.6× 250 13.8k
D. Neil Granger United States 80 5.6k 1.1× 4.1k 1.0× 2.7k 0.7× 4.4k 2.1× 1.0k 0.6× 312 23.8k
Kazuyuki Tobe Japan 70 9.9k 2.0× 4.8k 1.3× 3.7k 1.0× 3.4k 1.6× 1.8k 1.0× 307 18.5k
Per Eriksson Sweden 73 5.4k 1.1× 2.7k 0.7× 3.1k 0.8× 2.6k 1.2× 2.0k 1.1× 401 19.1k
Martin S. Obin United States 45 4.3k 0.9× 4.9k 1.3× 4.0k 1.1× 915 0.4× 1.1k 0.6× 82 12.2k

Countries citing papers authored by Péter Kovács

Since Specialization
Citations

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

Fields of papers citing papers by Péter Kovács

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Péter Kovács

This figure shows the co-authorship network connecting the top 25 collaborators of Péter Kovács. A scholar is included among the top collaborators of Péter Kovács based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Péter Kovács. Péter Kovács is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kovács, Péter, et al.. (2025). Circulating Cell-Free DNA in Metabolic Diseases. Journal of the Endocrine Society. 9(2). bvaf006–bvaf006. 2 indexed citations
2.
Keller, Maria, Mandy Vogel, Antje Garten, et al.. (2025). Epigenetics of Childhood Obesity. Hormone Research in Paediatrics. 99(2). 208–220. 1 indexed citations
3.
Janssen, Lieneke, Péter Kovács, Lorenz Deserno, et al.. (2024). Working memory gating in obesity is moderated by striatal dopaminergic gene variants. eLife. 13. 2 indexed citations
4.
Massier, Lucas, Niculina Musat, Michael Stümvoll, et al.. (2024). Tissue-resident bacteria in metabolic diseases: emerging evidence and challenges. Nature Metabolism. 6(7). 1209–1224. 6 indexed citations
5.
Hoffmann, Anne, Stephan Wolf, Adhideb Ghosh, et al.. (2024). Blood methylation pattern reflects epigenetic remodelling in adipose tissue after bariatric surgery. EBioMedicine. 106. 105242–105242. 4 indexed citations
6.
Wang, Mengying, Qiaochu Xue, Xiang Li, et al.. (2022). Circulating Levels of microRNA-122 and Hepatic Fat Change in Response to Weight-Loss Interventions: CENTRAL Trial. The Journal of Clinical Endocrinology & Metabolism. 107(5). e1899–e1906. 9 indexed citations
7.
Jaeckstein, Michelle Y., Anne Hoffmann, Markus Heine, et al.. (2022). Apoptotic brown adipocytes enhance energy expenditure via extracellular inosine. Nature. 609(7926). 361–368. 101 indexed citations
8.
Kehr, Stephanie, Melanie Penke, Jana Breitfeld, et al.. (2021). PTEN regulates adipose progenitor cell growth, differentiation, and replicative aging. Journal of Biological Chemistry. 297(2). 100968–100968. 15 indexed citations
9.
Kiss, Rita, Rudolf Gesztelyi, Sándor Somodi, et al.. (2018). Insulin-Sensitizer Effects of Fenugreek Seeds in Parallel with Changes in Plasma MCH Levels in Healthy Volunteers. International Journal of Molecular Sciences. 19(3). 771–771. 14 indexed citations
10.
Holstein, Andreas, et al.. (2012). Number and sex ratio of children and impact of parental diabetes in individuals with Type 1 diabetes. Diabetic Medicine. 29(10). 1268–1271. 18 indexed citations
11.
Klöting, Nora, Mathias Faßhauer, Arne Dietrich, et al.. (2010). Insulin-sensitive obesity. American Journal of Physiology-Endocrinology and Metabolism. 299(3). E506–E515. 653 indexed citations breakdown →
12.
Csaba, G., Péter Kovács, & Éva Pállinger. (2006). Comparison of the amount and demonstrability of endogeneous hormones and bound insulin after paraformaldehyde and EDAC fixation in Tetrahymena. Acta Protozoologica. 45(4). 455–459. 1 indexed citations
13.
Csaba, G., Péter Kovács, & Éva Pállinger. (2005). Effect of Hormones on the Concentration of a Digoxin-like Material in Tetrahymena. Acta Protozoologica. 44(1). 81–84. 2 indexed citations
14.
Kovács, Péter & Éva Pállinger. (2003). Phosphatidylinositol 3-kinase-like activity in Tetrahymena. Effects of wortmannin and LY 294002. Acta Protozoologica. 42(4). 277–285. 11 indexed citations
15.
Klöting, Ingrid & Péter Kovács. (1998). Phenotypic differences between diabetes‐prone BB rat sublines cosegregate with loci on chromosomes X and 10. IUBMB Life. 45(5). 865–870. 6 indexed citations
16.
Kovács, Péter & G. Csaba. (1998). Effect of ceramide-analogues on the actin cytoskeleton of Tetrahymena pyriformis GL. A confocal microscopic analysis. Acta Protozoologica. 37(4). 201–208. 3 indexed citations
17.
Němec, Pavel, et al.. (1996). Β-Galactosidase in immobilized cells ofPapaver somniferum. Biologia Plantarum. 38(1). 3 indexed citations
18.
Csaba, G., Péter Kovács, & Valéria László. (1989). Impact of the simultaneous and successive imprinting of different peptide molecules on receptor memory in Tetrahymena. Acta Protozoologica. 28(2). 175–182. 2 indexed citations
19.
Kovács, Péter & G. Csaba. (1980). Detection of histamine binding sites (receptors) in Tetrahymena by fluorescence technique.. PubMed. 39(2-3). 237–41. 6 indexed citations
20.
Kovács, Péter & G. Csaba. (1977). Evidence of the heterogeneity of mast cell population based on their biogenic amine content.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 25(1). 9–17. 2 indexed citations

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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