Péter Fülöp

928 citations
47 papers · 735 · h-index 16

Impact in

Papers in

Péter Fülöp

41 papers receiving 724 citations

Peers

Péter Fülöp
Comparison fields: 5 of 87
  • Clinical Biochemistry 64
  • Cancer Research 98
  • Physiology 166
  • Epidemiology 137
  • Biochemistry 32
Replace Gemma Aragonès with:
Gemma Aragonès Spain
Battsetseg Batchuluun Canada
Matthieu Ruiz Canada
Shasha Xing China
Xiangli Bai China
Saadet Türkseven Türkiye
Fedra Luciano‐Mateo Spain
Ying Su China
Dieuwke De Keyzer Belgium
Haijiang Wu China
Péter Fülöp relative to Gemma Aragonès Spain Gemma Aragonès's profile →
Citations per field
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Citations per year

Countries citing papers authored by Péter Fülöp

Since Specialization
Citations

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

Fields of papers citing papers by Péter Fülöp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004106
2 200665
3 201454
4 201653
5 200642
6
HMG CoA reductase inhibitor fluvastatin arrests the development of implanted hepatocarcinoma in rats.
200442
7 201331
8 200631
9 201430
10 201627
11 201826
12 200825
13 200520
14 202217
15 202116
16 200615
17 201913
18 201813
19 202211
20 201611

About Péter Fülöp

Péter Fülöp is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism, Surgery, Physiology and Molecular Biology, having authored 47 papers that have together received 735 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (7 papers), Paraoxonase enzyme and polymorphisms (6 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Liver Disease Diagnosis and Treatment (5 papers), Cancer, Lipids, and Metabolism (5 papers), Lipoproteins and Cardiovascular Health (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Diet, Metabolism, and Disease (3 papers). The work is most often cited by research in Clinical Biochemistry (64 citations), Cancer Research (98 citations), Physiology (166 citations), Epidemiology (137 citations) and Biochemistry (32 citations). Péter Fülöp has collaborated with scholars based in Hungary, United States and Belgium. Frequent co-authors include Mariann Harangi, I. Serés, György Paragh, György Paragh, Zoltán Derdák, Jack R. Wands, György Baffy, Hajnalka Lőrincz, Masayoshi Horimoto and Sándor Somodi. Their work appears in journals such as Atherosclerosis, Lipids in Health and Disease, Journal of Cellular and Molecular Medicine, Hepatology and Atherosclerosis Supplements.

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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