Ján Mešter

4.7k citations
93 papers · 3.8k · h-index 33

Impact in

Papers in

    • Receptor Mechanisms and Signaling 7
    • Polyamine Metabolism and Applications 6
    • Metabolism, Diabetes, and Cancer 5
    • Estrogen and related hormone effects 36

Ján Mešter

93 papers receiving 3.6k citations

Peers

Ján Mešter
Comparison fields: 5 of 113
  • Genetics 1.5k
  • Reproductive Medicine 291
  • Endocrinology, Diabetes and Metabolism 514
  • Molecular Biology 2.0k
  • Toxicology 93
Replace D O Toft with:
D O Toft United States
M. Atger France
William T. Schrader United States
G. Shyamala United States
Christine Radanyi France
Steven K. Nordeen United States
Thierry Buchou France
Shutsung Liao United States
Ulrich Gehring Germany
Victor C. Yu Singapore
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Citations per field
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Citations per year

Countries citing papers authored by Ján Mešter

Since Specialization
Citations

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

Fields of papers citing papers by Ján Mešter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984363
2 1999293
3 1976285
4 1977147
5 1975113
6
The c-kit tyrosine kinase inhibitor STI571 for colorectal cancer therapy.
2002112
7 2009107
8 197096
9 199695
10 200694
11 199894
12 197292
13 197786
14 200881
15 198271
16 200164
17 200564
18 201163
19 198059
20 198458

About Ján Mešter

Ján Mešter is a scholar working on Molecular Biology, Genetics, Oncology, Reproductive Medicine and Cancer Research, having authored 93 papers that have together received 3.8k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (36 papers), Cancer-related Molecular Pathways (14 papers), Receptor Mechanisms and Signaling (7 papers), Effects and risks of endocrine disrupting chemicals (7 papers), Polyamine Metabolism and Applications (6 papers), Animal Nutrition and Physiology (6 papers), Coccidia and coccidiosis research (5 papers) and Metabolism, Diabetes, and Cancer (5 papers). The work is most often cited by research in Genetics (1.5k citations), Reproductive Medicine (291 citations), Endocrinology, Diabetes and Metabolism (514 citations), Molecular Biology (2.0k citations) and Toxicology (93 citations). Ján Mešter has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Étienne-Émile Baulieu, Gérard Redeuilh, Michèle Sabbah, Thierry Buchou, E.E. Baulieu, Delphine Courilleau, Christine Radanyi, Nadine Binart, Anne‐Marie Gaben and Jack‐Michel Renoir. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Cellular Physiology, Experimental Cell Research, Endocrinology and European Journal of Biochemistry.

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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