Margit Balázs

110 total papers · 2.2k total citations
84 papers, 1.8k citations indexed

About

Margit Balázs is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Margit Balázs has authored 84 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 27 papers in Oncology and 19 papers in Cancer Research. Recurrent topics in Margit Balázs's work include Cancer Genomics and Diagnostics (17 papers), Cutaneous Melanoma Detection and Management (15 papers) and Melanoma and MAPK Pathways (10 papers). Margit Balázs is often cited by papers focused on Cancer Genomics and Diagnostics (17 papers), Cutaneous Melanoma Detection and Management (15 papers) and Melanoma and MAPK Pathways (10 papers). Margit Balázs collaborates with scholars based in Hungary, United States and France. Margit Balázs's co-authors include Frederic M. Waldman, Róza Ádány, Sándor Damjanovich, János Szöllõsi, Szilvia Ecsedi, Laura Vízkeleti, Zsuzsa Rákosy, Ágnes Bégány, Lajos Trón and Mack J. Fulwyler and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and PLoS ONE.

In The Last Decade

Margit Balázs

83 papers receiving 1.7k citations

Author Peers

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

Author Last Decade Papers Cites
Margit Balázs 1.0k 679 354 268 185 84 1.8k
María Virtudes Céspedes 1.2k 1.1× 696 1.0× 359 1.0× 383 1.4× 114 0.6× 65 2.2k
Yasuyuki Ohnishi 915 0.9× 614 0.9× 325 0.9× 259 1.0× 196 1.1× 95 1.9k
Caroline E. Ford 1.0k 1.0× 644 0.9× 363 1.0× 296 1.1× 218 1.2× 71 2.0k
Yuko Murakami 1.3k 1.3× 687 1.0× 268 0.8× 306 1.1× 119 0.6× 61 2.3k
Claude Allasia 875 0.8× 718 1.1× 527 1.5× 227 0.8× 122 0.7× 58 1.9k
Lou F. M. H. de Leij 1.1k 1.1× 454 0.7× 264 0.7× 571 2.1× 237 1.3× 57 2.1k
Roman Nawroth 980 0.9× 576 0.8× 476 1.3× 270 1.0× 172 0.9× 82 2.1k
Partha Ray 1.5k 1.4× 387 0.6× 382 1.1× 409 1.5× 160 0.9× 49 2.3k
Ming Yu 1.4k 1.3× 801 1.2× 637 1.8× 266 1.0× 163 0.9× 77 2.4k
H. J. Altermatt 694 0.7× 643 0.9× 253 0.7× 119 0.4× 142 0.8× 53 1.9k

Countries citing papers authored by Margit Balázs

Since Specialization
Citations

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

Fields of papers citing papers by Margit Balázs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margit Balázs

This figure shows the co-authorship network connecting the top 25 collaborators of Margit Balázs. A scholar is included among the top collaborators of Margit Balázs 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 Margit Balázs. Margit Balázs 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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