Péter Pikó

43 papers receiving 395 citations

Peers

Péter Pikó
Comparison fields: 5 of 64
  • General Health Professions 82
  • Genetics 91
  • Endocrinology, Diabetes and Metabolism 52
  • Clinical Biochemistry 10
  • Nutrition and Dietetics 27
Replace Zsigmond Kósa with:
Zsigmond Kósa Hungary
Berenice Rivera‐Paredez Mexico
Mohammad Al Dubayee Saudi Arabia
Cristina Lencioni Italy
Suyog M. Joshi India
Subrata Deb Nath United States
Robabeh Ghodssi-Ghassemabadi Iran
Juan Criado-García Spain
Coimbatore Subramanian Shanthi Rani India
Amy Miyoshi Valent United States
Péter Pikó relative to Zsigmond Kósa Hungary Zsigmond Kósa's profile →
Citations per field
00.5×1.5×
Zsigmond Kósa · 1×
Citations per year

Countries citing papers authored by Péter Pikó

Since Specialization
Citations

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

Fields of papers citing papers by Péter Pikó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202037
2 202134
3 202027
4 201724
5 201922
6 202122
7 201820
8 202017
9 202217
10 201914
11 202113
12 202313
13 202012
14 201810
15 20209
16 20218
17 20238
18 20237
19 20206
20 20216

About Péter Pikó

Péter Pikó is a scholar working on General Health Professions, Genetics, Endocrinology, Diabetes and Metabolism, Health and Public Health, Environmental and Occupational Health, having authored 48 papers that have together received 398 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (14 papers), Romani and Gypsy Studies (13 papers), Lipoproteins and Cardiovascular Health (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Smoking Behavior and Cessation (2 papers), Biochemical Analysis and Sensing Techniques (2 papers) and Paraoxonase enzyme and polymorphisms (2 papers). The work is most often cited by research in General Health Professions (82 citations), Genetics (91 citations), Endocrinology, Diabetes and Metabolism (52 citations), Clinical Biochemistry (10 citations) and Nutrition and Dietetics (27 citations). Péter Pikó has collaborated with scholars based in Hungary, United States and Netherlands. Frequent co-authors include Róza Ádány, Zsigmond Kósa, János Sándor, Szilvia Fiatal, Judit Diószegi, János Sándor, György Paragh, Sándor Szűcs, Martina Cornelia Cornel and Valentina Baccolini. Their work appears in journals such as International Journal of Molecular Sciences, European Journal of Public Health, Scientific Reports, Genes and GeroScience.

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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