Szabolcs Tóth

57 total papers · 645 total citations
26 papers, 521 citations indexed

About

Szabolcs Tóth is a scholar working on Molecular Biology, Surgery and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Szabolcs Tóth has authored 26 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Surgery and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Szabolcs Tóth's work include Reproductive Biology and Fertility (5 papers), Pancreatic function and diabetes (3 papers) and Organ Transplantation Techniques and Outcomes (2 papers). Szabolcs Tóth is often cited by papers focused on Reproductive Biology and Fertility (5 papers), Pancreatic function and diabetes (3 papers) and Organ Transplantation Techniques and Outcomes (2 papers). Szabolcs Tóth collaborates with scholars based in Hungary, France and United States. Szabolcs Tóth's co-authors include Bernadette Banrezes, Jean-Pierre J.-P. Ozil, Richard M. Schultz, Daniel Huneau, Hua Pan, Tom Ducibella, Styliani Markoulaki, Jean‐Pierre Ozil, Jason G. Knott and Sara Matson and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and Developmental Biology.

In The Last Decade

Szabolcs Tóth

24 papers receiving 499 citations

Author Peers

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

Author Last Decade Papers Cites
Szabolcs Tóth 381 282 150 92 49 26 521
Jennifer P. Barfield 366 1.0× 336 1.2× 249 1.7× 46 0.5× 91 1.9× 34 615
Wan Kyoo Cho 382 1.0× 314 1.1× 181 1.2× 30 0.3× 60 1.2× 15 579
P Rodrigues 400 1.0× 244 0.9× 213 1.4× 93 1.0× 46 0.9× 23 546
Tie Cheng Sun 246 0.6× 307 1.1× 142 0.9× 82 0.9× 78 1.6× 33 552
Jacinta H. Martin 252 0.7× 262 0.9× 165 1.1× 52 0.6× 64 1.3× 28 498
Gisela Machado-Oliveira 221 0.6× 287 1.0× 198 1.3× 16 0.2× 53 1.1× 12 524
Brijinder S. Minhas 310 0.8× 338 1.2× 88 0.6× 69 0.8× 91 1.9× 28 546
Christine Guillemette 360 0.9× 268 1.0× 237 1.6× 43 0.5× 62 1.3× 19 609
Shuiying Ma 344 0.9× 326 1.2× 100 0.7× 161 1.8× 58 1.2× 32 510
Lun Suo 293 0.8× 190 0.7× 272 1.8× 66 0.7× 53 1.1× 26 492

Countries citing papers authored by Szabolcs Tóth

Since Specialization
Citations

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

Fields of papers citing papers by Szabolcs Tóth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Szabolcs Tóth

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