Péter Pikó

518 total citations
43 papers, 351 citations indexed

About

Péter Pikó is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, Péter Pikó has authored 43 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in General Health Professions, 8 papers in Public Health, Environmental and Occupational Health and 8 papers in Genetics. Recurrent topics in Péter Pikó's work include Romani and Gypsy Studies (22 papers), Genetic Associations and Epidemiology (6 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers). Péter Pikó is often cited by papers focused on Romani and Gypsy Studies (22 papers), Genetic Associations and Epidemiology (6 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers). Péter Pikó collaborates with scholars based in Hungary, United States and Netherlands. Péter Pikó's co-authors include Róza Ádány, Zsigmond Kósa, János Sándor, Szilvia Fiatal, János Sándor, György Paragh, Sándor Szűcs, Margit Balázs, Nóra Kovács and Erand Llanaj and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Péter Pikó

42 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Péter Pikó Hungary 12 105 69 68 67 61 43 351
André Werner Germany 10 55 0.5× 84 1.2× 102 1.5× 66 1.0× 52 0.9× 16 374
Zsigmond Kósa Hungary 14 355 3.4× 81 1.2× 84 1.2× 97 1.4× 60 1.0× 41 668
Shyi-Jang Shin Taiwan 11 61 0.6× 50 0.7× 139 2.0× 28 0.4× 44 0.7× 13 368
Clicerio González Mexico 9 48 0.5× 82 1.2× 113 1.7× 129 1.9× 108 1.8× 9 399
Bakr Bin Sadiq Saudi Arabia 8 39 0.4× 27 0.4× 118 1.7× 56 0.8× 37 0.6× 10 340
Hana Alzamil Saudi Arabia 9 39 0.4× 72 1.0× 43 0.6× 83 1.2× 48 0.8× 16 311
Anna Stears United Kingdom 13 20 0.2× 81 1.2× 108 1.6× 41 0.6× 141 2.3× 22 361
Xue Xia China 12 51 0.5× 30 0.4× 84 1.2× 92 1.4× 81 1.3× 56 556
Fei-Na Chen Taiwan 9 33 0.3× 108 1.6× 76 1.1× 17 0.3× 60 1.0× 13 352
Wilson M. Alobuia United States 11 26 0.2× 20 0.3× 69 1.0× 48 0.7× 50 0.8× 22 347

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-authorship network of co-authors of Péter Pikó

This figure shows the co-authorship network connecting the top 25 collaborators of Péter Pikó. A scholar is included among the top collaborators of Péter Pikó 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 Pikó. Péter Pikó 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.
Pezzullo, Angelo Maria, Péter Pikó, Markus Perola, et al.. (2025). A scoping review of the assessment reports of genetic or genomic tests reveals inconsistent consideration of key dimensions of clinical utility. Journal of Clinical Epidemiology. 181. 111729–111729. 1 indexed citations
2.
Szűcs, Sándor, Péter Pikó, Gabriella Emri, et al.. (2024). Identification of Plasma Lipid Alterations Associated with Melanoma Metastasis. International Journal of Molecular Sciences. 25(8). 4251–4251. 3 indexed citations
3.
Pikó, Péter, et al.. (2024). Genetic Background of Acute Heart Rate Response to Exercise. International Journal of Molecular Sciences. 25(6). 3238–3238.
4.
Pikó, Péter, Zsigmond Kósa, János Sándor, et al.. (2023). Association of CETP Gene Polymorphisms and Haplotypes with Cardiovascular Risk. International Journal of Molecular Sciences. 24(12). 10281–10281. 3 indexed citations
5.
Pikó, Péter, Erand Llanaj, Károly Nagy, & Róza Ádány. (2023). Genetic Background of Metabolically Healthy and Unhealthy Obesity Phenotypes in Hungarian Adult Sample Population. International Journal of Molecular Sciences. 24(6). 5209–5209. 4 indexed citations
6.
Pikó, Péter, Zsigmond Kósa, János Sándor, et al.. (2023). Association of HDL Subfraction Profile with the Progression of Insulin Resistance. International Journal of Molecular Sciences. 24(17). 13563–13563. 7 indexed citations
7.
8.
Bába, Éva Bácsné, Péter Pikó, Anetta Müller, et al.. (2022). Physical Activity Pattern Characterized by Domains and Dimensions of the Roma Population in Comparison with That of the General Population in Northeast Hungary. International Journal of Environmental Research and Public Health. 19(6). 3545–3545. 1 indexed citations
9.
Pikó, Péter, et al.. (2022). Low prevalence of spectacle use in the Hungarian Roma population indicates unmet health needs. Scientific Reports. 12(1). 3873–3873. 5 indexed citations
10.
Pikó, Péter, Zsigmond Kósa, János Sándor, et al.. (2022). The profile of HDL-C subfractions and their association with cardiovascular risk in the Hungarian general and Roma populations. Scientific Reports. 12(1). 10915–10915. 13 indexed citations
11.
12.
Pikó, Péter, et al.. (2021). Obesity-Related Changes in Human Plasma Lipidome Determined by the Lipidyzer Platform. Biomolecules. 11(2). 326–326. 31 indexed citations
13.
14.
Nagy, Csilla, Attila Juhász, Péter Pikó, et al.. (2021). Preventive Metformin Monotherapy Medication Prescription, Redemption and Socioeconomic Status in Hungary in 2018–2019: A Cross-Sectional Study. International Journal of Environmental Research and Public Health. 18(5). 2206–2206. 3 indexed citations
15.
Pikó, Péter, et al.. (2021). Association of single nucleotide polymorphisms with taste and food preferences of the Hungarian general and Roma populations. Appetite. 164. 105270–105270. 11 indexed citations
16.
Pikó, Péter, et al.. (2020). Impact of Genetic Factors on the Age of Onset for Type 2 Diabetes Mellitus in Addition to the Conventional Risk Factors. Journal of Personalized Medicine. 11(1). 6–6. 21 indexed citations
17.
Soltész, Beáta, Péter Pikó, János Sándor, et al.. (2020). The genetic risk for hypertension is lower among the Hungarian Roma population compared to the general population. PLoS ONE. 15(6). e0234547–e0234547. 15 indexed citations
18.
Ádány, Róza, Péter Pikó, Szilvia Fiatal, et al.. (2020). Prevalence of Insulin Resistance in the Hungarian General and Roma Populations as Defined by Using Data Generated in a Complex Health (Interview and Examination) Survey. International Journal of Environmental Research and Public Health. 17(13). 4833–4833. 34 indexed citations
19.
20.
El, Carla van, Valentina Baccolini, Péter Pikó, & Martina C. Cornel. (2018). Stakeholder Views on Active Cascade Screening for Familial Hypercholesterolemia. Healthcare. 6(3). 108–108. 15 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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