József Mészáros

51 total papers · 1.0k total citations
24 papers, 659 citations indexed

About

József Mészáros is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Obstetrics and Gynecology. According to data from OpenAlex, József Mészáros has authored 24 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 5 papers in Obstetrics and Gynecology. Recurrent topics in József Mészáros's work include Receptor Mechanisms and Signaling (8 papers), Neuroscience and Neuropharmacology Research (6 papers) and Endometrial and Cervical Cancer Treatments (4 papers). József Mészáros is often cited by papers focused on Receptor Mechanisms and Signaling (8 papers), Neuroscience and Neuropharmacology Research (6 papers) and Endometrial and Cervical Cancer Treatments (4 papers). József Mészáros collaborates with scholars based in United States, Germany and France. József Mészáros's co-authors include Christoph Kellendonk, Jonathan A. Javitch, Pierre Trifilieff, Dominik Biezonski, Peter D. Balsam, Mazen A. Kheirbek, E. Hölzner, Matthew R. Bailey, Fernanda Carvalho Poyraz and Dalibor Sameš and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

József Mészáros

20 papers receiving 651 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
József Mészáros 376 329 119 85 49 24 659
Ryuichi Nakajima 300 0.8× 194 0.6× 172 1.4× 16 0.2× 48 1.0× 24 702
Iakovos Lazaridis 235 0.6× 224 0.7× 139 1.2× 63 0.7× 32 0.7× 13 750
Nicholas A. Hartell 365 1.0× 237 0.7× 131 1.1× 44 0.5× 31 0.6× 27 758
Gábor Juhász 220 0.6× 217 0.7× 71 0.6× 36 0.4× 49 1.0× 27 602
D Senitz 362 1.0× 212 0.6× 205 1.7× 18 0.2× 33 0.7× 33 737
Anton Schulmann 257 0.7× 314 1.0× 135 1.1× 35 0.4× 32 0.7× 20 611
Katalin Völgyi 132 0.4× 232 0.7× 43 0.4× 83 1.0× 70 1.4× 18 589
Brad Busse 277 0.7× 255 0.8× 102 0.9× 115 1.4× 41 0.8× 16 690
Yajun Zhang 163 0.4× 408 1.2× 51 0.4× 35 0.4× 58 1.2× 47 718
Deborah van der List 348 0.9× 478 1.5× 71 0.6× 27 0.3× 43 0.9× 14 654

Countries citing papers authored by József Mészáros

Since Specialization
Citations

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

Fields of papers citing papers by József Mészáros

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of József Mészáros

This figure shows the co-authorship network connecting the top 25 collaborators of József Mészáros. A scholar is included among the top collaborators of József Mészáros based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with József Mészáros. József Mészáros is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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