János Gál

106 total papers · 1.0k total citations
51 papers, 498 citations indexed

About

János Gál is a scholar working on Epidemiology, Animal Science and Zoology and Surgery. According to data from OpenAlex, János Gál has authored 51 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 9 papers in Animal Science and Zoology and 8 papers in Surgery. Recurrent topics in János Gál's work include Animal Virus Infections Studies (8 papers), Microbial infections and disease research (5 papers) and Virus-based gene therapy research (5 papers). János Gál is often cited by papers focused on Animal Virus Infections Studies (8 papers), Microbial infections and disease research (5 papers) and Virus-based gene therapy research (5 papers). János Gál collaborates with scholars based in Hungary, United Kingdom and Germany. János Gál's co-authors include Szilvia L. Farkas, Attila Balog, Károly Erdélyi, Tamás Bakonyi, Zsófia Gyulai, Yvette Mándi, David Royston, Richard K. Hoop, Ralf Dürrwald and F. Ehrensperger and has published in prestigious journals such as Annals of the Rheumatic Diseases, Emerging infectious diseases and Anesthesia & Analgesia.

In The Last Decade

János Gál

45 papers receiving 483 citations

Author Peers

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

Author Last Decade Papers Cites
János Gál 124 118 88 82 82 51 498
Maja Ruetten 78 0.6× 50 0.4× 81 0.9× 45 0.5× 83 1.0× 46 545
William C. Russell 252 2.0× 46 0.4× 165 1.9× 45 0.5× 91 1.1× 31 606
K Nakajima 172 1.4× 58 0.5× 65 0.7× 167 2.0× 239 2.9× 24 524
Jens Thielebein 107 0.9× 60 0.5× 87 1.0× 140 1.7× 35 0.4× 31 605
Malcolm Lawson 234 1.9× 86 0.7× 63 0.7× 25 0.3× 142 1.7× 26 619
Nicholas A. Crossland 112 0.9× 275 2.3× 77 0.9× 101 1.2× 116 1.4× 50 582
Antonio Mori 42 0.3× 108 0.9× 125 1.4× 38 0.5× 73 0.9× 37 532
Míra Mándoki 59 0.5× 126 1.1× 105 1.2× 101 1.2× 13 0.2× 39 462
Stephen B. Harvey 120 1.0× 109 0.9× 65 0.7× 47 0.6× 29 0.4× 48 607
Jianning Wang 213 1.7× 252 2.1× 38 0.4× 92 1.1× 47 0.6× 46 587

Countries citing papers authored by János Gál

Since Specialization
Citations

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

Fields of papers citing papers by János Gál

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of János Gál

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