Endre Barta

2.6k citations
64 papers · 2k · h-index 21

Impact in

    • RNA Research and Splicing
    • Peroxisome Proliferator-Activated Receptors
    • Genomics and Chromatin Dynamics
  • Immunology top 10%
    • Immune cells in cancer

Papers in

    • Genomics and Phylogenetic Studies 14
    • Genomics and Chromatin Dynamics 13
    • RNA Research and Splicing 6
    • Genetic and phenotypic traits in livestock 7
    • Genetic diversity and population structure 5

Endre Barta

63 papers receiving 2k citations

Peers

Endre Barta
Comparison fields: 5 of 100
  • Molecular Biology 877
  • Immunology 252
  • Plant Science 452
  • Genetics 207
  • Oncology 144
Replace Yoshihiro Ueda with:
Yoshihiro Ueda Japan
Sun Shim Choi South Korea
Maya Kozlowski Canada
Yujie Gou China
Corinne Clavé France
Yuchi Gao China
Ping Cheng China
Hai‐Xi Sun China
Marine Jeanmougin Norway
Endre Barta relative to Yoshihiro Ueda Japan Yoshihiro Ueda's profile →
Citations per field
00.5×1.5×2.0×
Yoshihiro Ueda · 1×
Citations per year

Countries citing papers authored by Endre Barta

Since Specialization
Citations

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

Fields of papers citing papers by Endre Barta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010389
2 2006198
3 2006149
4 2008144
5 2005135
6 2007122
7 201366
8 199562
9 201852
10 201448
11 201442
12 201541
13 201035
14 200133
15 200230
16 201130
17 200529
18 201029
19 200427
20 202425

About Endre Barta

Endre Barta is a scholar working on Molecular Biology, Genetics, Plant Science, Rheumatology and Food Science, having authored 64 papers that have together received 2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (14 papers), Genomics and Chromatin Dynamics (13 papers), Genetic and phenotypic traits in livestock (7 papers), Chromosomal and Genetic Variations (6 papers), RNA Research and Splicing (6 papers), Genetic diversity and population structure (5 papers), Plant Molecular Biology Research (4 papers) and Osteoarthritis Treatment and Mechanisms (3 papers). The work is most often cited by research in Molecular Biology (877 citations), Immunology (252 citations), Plant Science (452 citations), Genetics (207 citations) and Oncology (144 citations). Endre Barta has collaborated with scholars based in Hungary, Italy and United Kingdom. Frequent co-authors include Dániel Silhavy, Zsuzsanna Mérai, Laszlo Tibor Nagy, Zoltán Kerényi, Bálint L. Bálint, Tibor Nagy, Attila Szántó, Lajos Széles, Szilárd Póliska and Balázs Dezsö. Their work appears in journals such as Nucleic Acids Research, PLoS ONE, BMC Genomics, Molecular Genetics and Genomics and Biochemical Journal.

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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