Péter Pikó

44 papers receiving 370 citations

Peers

Péter Pikó
Comparison fields: 5 of 74
  • General Health Professions 94
  • Endocrinology, Diabetes and Metabolism 59
  • Physiology 54
  • Public Health, Environmental and Occupational Health 52
  • Genetics 54
Replace Zsigmond Kósa with:
Zsigmond Kósa Hungary
John Tuitele United States
Ann Partridge United States
Honghong Zhu China
André Werner Germany
Lorenzo Salgado-Goytia Mexico
L. Anne Gilmore United States
Young Shin Park South Korea
Anna Stears United Kingdom
Hana Alzamil Saudi Arabia
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 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202036
2 202133
3 201724
4 202023
5 201923
6 202120
7 201816
8 202016
9 201914
10 202313
11 202213
12 202112
13 202012
14 201810
15 20209
16 20179
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, Physiology and Molecular Biology, having authored 46 papers that have together received 373 indexed citations. Recurring topics across this work include Romani and Gypsy Studies (20 papers), Genetic Associations and Epidemiology (6 papers), Nutritional Studies and Diet (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Autopsy Techniques and Outcomes (3 papers), Nutrition and Health in Aging (3 papers), Health disparities and outcomes (3 papers) and Health Promotion and Cardiovascular Prevention (3 papers). The work is most often cited by research in General Health Professions (94 citations), Endocrinology, Diabetes and Metabolism (59 citations), Physiology (54 citations), Public Health, Environmental and Occupational Health (52 citations) and Genetics (54 citations). Péter Pikó has collaborated with scholars based in Hungary, United States and United Kingdom. Frequent co-authors include Róza Ádány, Zsigmond Kósa, János Sándor, Szilvia Fiatal, János Sándor, Judit Diószegi, György Paragh, Sándor Szűcs, Nóra Kovács and Erand Llanaj. Their work appears in journals such as International Journal of Molecular Sciences, Scientific Reports, European Journal of Public Health, 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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