Péter Pikó

42 papers receiving 348 citations

Peers

Péter Pikó
Comparison fields: 5 of 80
  • General Health Professions 105
  • Endocrinology, Diabetes and Metabolism 68
  • Physiology 69
  • Public Health, Environmental and Occupational Health 67
  • Genetics 58
Replace Zsigmond Kósa with:
Zsigmond Kósa Hungary
Clicerio González Mexico
Yashvee Dunneram United Kingdom
André Werner Germany
Walter Willet United States
Shyi-Jang Shin Taiwan
Xue Xia China
Dennis O. Mook‐Kanamori Netherlands
Hana Alzamil Saudi Arabia
Mohamadreza Neishaboury Iran
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 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202034
2 202131
3 201722
4 201922
5 202021
6 202120
7 201815
8 202015
9 202213
10 201913
11 202313
12 202111
13 202011
14 201810
15 20179
16 20209
17 20218
18 20237
19 20206
20 20215

About Péter Pikó

Péter Pikó is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health, Genetics, Endocrinology, Diabetes and Metabolism and Physiology, having authored 43 papers that have together received 351 indexed citations. Recurring topics across this work include Romani and Gypsy Studies (22 papers), Genetic Associations and Epidemiology (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Nutritional Studies and Diet (4 papers), Autopsy Techniques and Outcomes (4 papers), Health Promotion and Cardiovascular Prevention (3 papers), Nutrition and Health in Aging (3 papers) and Diet, Metabolism, and Disease (2 papers). The work is most often cited by research in General Health Professions (105 citations), Endocrinology, Diabetes and Metabolism (68 citations), Physiology (69 citations), Public Health, Environmental and Occupational Health (67 citations) and Genetics (58 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, János Sándor, György Paragh, Sándor Szűcs, Valentina Baccolini, Nóra Kovács and Martina C. Cornel. Their work appears in journals such as Scientific Reports, European Journal of Public Health, International Journal of Molecular Sciences, International Journal of Environmental Research and Public Health 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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