Ján Mešter

97 papers receiving 3.8k citations

Peers

Ján Mešter
Comparison fields: 5 of 114
  • Genetics 1.7k
  • Reproductive Medicine 323
  • Endocrinology, Diabetes and Metabolism 595
  • Molecular Biology 2.1k
  • Toxicology 100
Replace D O Toft with:
D O Toft United States
P. Chambón France
M. Atger France
Christine Radanyi France
G. Shyamala United States
Steven K. Nordeen United States
William T. Schrader United States
Thierry Buchou France
Ulrich Gehring Germany
Shutsung Liao United States
Ján Mešter relative to D O Toft United States D O Toft's profile →
Citations per field
00.5×2×3×4×
D O Toft · 1×
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 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984408
2 1976318
3 1999302
4 1977169
5 1975127
6 2009114
7
The c-kit tyrosine kinase inhibitor STI571 for colorectal cancer therapy.
2002114
8 1972104
9 1970101
10 199898
11 197795
12 199695
13 200694
14 200884
15 198281
16 198070
17 201169
18 198469
19 200568
20 200164

About Ján Mešter

Ján Mešter is a scholar working on Molecular Biology, Genetics, Oncology, Animal Science and Zoology and Health, Toxicology and Mutagenesis, having authored 97 papers that have together received 4.1k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (39 papers), Cancer-related Molecular Pathways (14 papers), Effects and risks of endocrine disrupting chemicals (8 papers), Animal Nutrition and Physiology (8 papers), Coccidia and coccidiosis research (7 papers), Receptor Mechanisms and Signaling (7 papers), Polyamine Metabolism and Applications (6 papers) and Metabolism, Diabetes, and Cancer (5 papers). The work is most often cited by research in Genetics (1.7k citations), Reproductive Medicine (323 citations), Endocrinology, Diabetes and Metabolism (595 citations), Molecular Biology (2.1k citations) and Toxicology (100 citations). Ján Mešter has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Étienne-Émile Baulieu, Gérard Redeuilh, Thierry Buchou, E.E. Baulieu, Michèle Sabbah, Delphine Courilleau, Christine Radanyi, Nadine Binart, Jack‐Michel Renoir and Anne‐Marie Gaben. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Cellular Physiology, Endocrinology, Experimental Cell Research 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.

Explore authors with similar magnitude of impact