Martin Péč

501 citations
17 papers · 432 · h-index 11

Impact in

Papers in

    • Cancer, Lipids, and Metabolism 10
    • Cancer, Hypoxia, and Metabolism 4
    • Metabolism, Diabetes, and Cancer 6
    • Peroxisome Proliferator-Activated Receptors 3

Martin Péč

17 papers receiving 426 citations

Peers

Martin Péč
Comparison fields: 5 of 77
  • Biochemistry 54
  • Endocrine and Autonomic Systems 47
  • Cancer Research 90
  • Applied Microbiology and Biotechnology 12
  • Pharmacology 30
Replace Andrea Kapinová with:
Andrea Kapinová Slovakia
Joel Reinhardt United States
K. Kolanjiappan India
Katarzyna Owczarek Poland
Yujie Guo China
Sona Uramova Slovakia
Tímea Varjas Hungary
Susara Ruwan Kumara Madduma Hewage South Korea
Ying Yao United States
Sameh M. Shabana Egypt
Martin Péč relative to Andrea Kapinová Slovakia Andrea Kapinová's profile →
Citations per field
00.5×1.5×
Andrea Kapinová · 1×
Citations per year

Countries citing papers authored by Martin Péč

Since Specialization
Citations

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

Fields of papers citing papers by Martin Péč

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201765
2 201555
3 201653
4
Preventive effects of probiotic bacteria Lactobacillus plantarum and dietary fiber in chemically-induced mammary carcinogenesis.
201447
5 201447
6 201437
7 201427
8 201025
9 201716
10 201213
11 201112
12 201410
13 20116
14 20156
15 20115
16 20194
17 20154

About Martin Péč

Martin Péč is a scholar working on Cancer Research, Molecular Biology, Surgery, Pharmacology and Nutrition and Dietetics, having authored 17 papers that have together received 432 indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (10 papers), Metabolism, Diabetes, and Cancer (6 papers), Lipoproteins and Cardiovascular Health (5 papers), Cancer, Hypoxia, and Metabolism (4 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Tannin, Tannase and Anticancer Activities (2 papers), Microbial Metabolites in Food Biotechnology (1 paper) and Inflammatory mediators and NSAID effects (1 paper). The work is most often cited by research in Biochemistry (54 citations), Endocrine and Autonomic Systems (47 citations), Cancer Research (90 citations), Applied Microbiology and Biotechnology (12 citations) and Pharmacology (30 citations). Martin Péč has collaborated with scholars based in Slovakia, Czechia and Australia. Frequent co-authors include Peter Kubatka, Karol Kajo, Bianka Bojková, Monika Kassayová, Marián Adamkov, Desanka Výbohová, Peter Orendáš, Martin Kello, Peter Kružliak and Ján Mojžíš. Their work appears in journals such as European Journal of Cancer Prevention, European Journal of Nutrition, Nutrition, Pathology & Oncology Research and International Journal of Experimental Pathology.

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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