Judit Szabó

90 total papers · 1.6k total citations
65 papers, 1.1k citations indexed

About

Judit Szabó is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Judit Szabó has authored 65 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 16 papers in Infectious Diseases and 16 papers in Epidemiology. Recurrent topics in Judit Szabó's work include Antimicrobial Resistance in Staphylococcus (8 papers), T-cell and Retrovirus Studies (5 papers) and Sepsis Diagnosis and Treatment (5 papers). Judit Szabó is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (8 papers), T-cell and Retrovirus Studies (5 papers) and Sepsis Diagnosis and Treatment (5 papers). Judit Szabó collaborates with scholars based in Hungary, United States and Denmark. Judit Szabó's co-authors include Gyula Ujlaki, Péter Bai, Edit Mikó, Judit Tóth, Adrienn Sipos, Éva Sebő, Tamás Csonka, Tündé Kovàcs, Gábor Méhes and Ferenc Tóth and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Clinical Microbiology and Molecules.

In The Last Decade

Judit Szabó

63 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Judit Szabó 447 179 176 175 149 65 1.1k
Ge Liu 423 0.9× 240 1.3× 123 0.7× 168 1.0× 232 1.6× 78 1.2k
Bin Wang 320 0.7× 245 1.4× 149 0.8× 121 0.7× 190 1.3× 103 1.1k
Yu He 371 0.8× 188 1.1× 172 1.0× 100 0.6× 98 0.7× 73 1.2k
Yang Jiao 246 0.6× 206 1.2× 114 0.6× 96 0.5× 184 1.2× 90 1.0k
Melissa Smith 496 1.1× 198 1.1× 162 0.9× 199 1.1× 318 2.1× 77 1.4k
Michael J. Parmely 471 1.1× 183 1.0× 162 0.9× 117 0.7× 460 3.1× 43 1.4k
Choon‐Kook Sam 653 1.5× 156 0.9× 213 1.2× 468 2.7× 157 1.1× 47 1.4k
Yukië Tanaka 475 1.1× 244 1.4× 158 0.9× 127 0.7× 316 2.1× 68 1.3k
Maria Luisa Dupuis 523 1.2× 75 0.4× 160 0.9× 284 1.6× 228 1.5× 50 1.2k
T. Sreevalsan 399 0.9× 191 1.1× 251 1.4× 133 0.8× 178 1.2× 48 1.1k

Countries citing papers authored by Judit Szabó

Since Specialization
Citations

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

Fields of papers citing papers by Judit Szabó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Judit Szabó

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