Mária Harmati

33 total papers · 570 total citations
18 papers, 351 citations indexed

About

Mária Harmati is a scholar working on Molecular Biology, Cancer Research and Biomedical Engineering. According to data from OpenAlex, Mária Harmati has authored 18 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Cancer Research and 6 papers in Biomedical Engineering. Recurrent topics in Mária Harmati's work include Extracellular vesicles in disease (8 papers), MicroRNA in disease regulation (8 papers) and Cell Image Analysis Techniques (5 papers). Mária Harmati is often cited by papers focused on Extracellular vesicles in disease (8 papers), MicroRNA in disease regulation (8 papers) and Cell Image Analysis Techniques (5 papers). Mária Harmati collaborates with scholars based in Hungary, Finland and Italy. Mária Harmati's co-authors include Krisztina Buzás, Edina Gyukity-Sebestyén, Péter Horváth, Tamás Bı́ró, Okay Saydam, Imre Dékány, István Nagy, László Janovák, Tibor Pankotai and Katalin Nagy and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Mária Harmati

18 papers receiving 347 citations

Author Peers

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

Author Last Decade Papers Cites
Mária Harmati 218 127 80 36 31 18 351
Chao Xia 182 0.8× 50 0.4× 38 0.5× 7 0.2× 24 0.8× 21 340
Joan Sesing Lenz 180 0.8× 58 0.5× 22 0.3× 9 0.3× 24 0.8× 14 302
Yuzhen Ouyang 173 0.8× 35 0.3× 55 0.7× 21 0.6× 21 0.7× 17 308
Karolína Strnadová 128 0.6× 44 0.3× 74 0.9× 65 1.8× 101 3.3× 16 368
Yoshiaki Takai 161 0.7× 17 0.1× 23 0.3× 34 0.9× 15 0.5× 20 331
Andrew King 147 0.7× 36 0.3× 144 1.8× 8 0.2× 36 1.2× 14 341
Zhengming Tang 120 0.6× 42 0.3× 61 0.8× 4 0.1× 36 1.2× 12 314
Katrina Adlerz 151 0.7× 60 0.5× 76 0.9× 9 0.3× 35 1.1× 11 385
Jianru Yang 253 1.2× 110 0.9× 89 1.1× 29 0.8× 20 0.6× 20 341
Yukiko Sato 204 0.9× 29 0.2× 17 0.2× 9 0.3× 29 0.9× 16 383

Countries citing papers authored by Mária Harmati

Since Specialization
Citations

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

Fields of papers citing papers by Mária Harmati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mária Harmati

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