Gergely Tóth

794 total citations
18 papers, 437 citations indexed

About

Gergely Tóth is a scholar working on Physiology, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Gergely Tóth has authored 18 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 6 papers in Molecular Biology and 4 papers in Computational Theory and Mathematics. Recurrent topics in Gergely Tóth's work include Alzheimer's disease research and treatments (7 papers), Protein Structure and Dynamics (5 papers) and Computational Drug Discovery Methods (4 papers). Gergely Tóth is often cited by papers focused on Alzheimer's disease research and treatments (7 papers), Protein Structure and Dynamics (5 papers) and Computational Drug Discovery Methods (4 papers). Gergely Tóth collaborates with scholars based in United Kingdom, Hungary and United States. Gergely Tóth's co-authors include Attila Borics, Christopher M. Dobson, Michele Vendruscolo, Dale Schenk, Alfonso De Simone, Nunilo Cremades, Carlos W. Bertoncini, Christofer Lendel, John Christodoulou and Christopher A. Waudby and has published in prestigious journals such as The Journal of Chemical Physics, Biochemistry and Scientific Reports.

In The Last Decade

Gergely Tóth

18 papers receiving 433 citations

Peers

Gergely Tóth
Comparison fields: 5 of 89
  • Molecular Biology 228
  • Physiology 192
  • Computational Theory and Mathematics 74
  • Neurology 68
  • Pharmacology 63
Replace W. Mei Kok with:
W. Mei Kok Australia
Christina C. Capule United States
M. Schwalbe Germany
Ruitian Liu United States
Guanglin Kuang Sweden
Thomas Botzanowski France
Agata Kranjc Italy
Douglas Tsao United States
Ujjayini Ghosh United States
Antonia Stank Germany
W. Mei Kok Australia View profile →
Citations per field, relative to Gergely Tóth
Gergely Tóth · 1×
Citations per year, relative to Gergely Tóth
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Countries citing papers authored by Gergely Tóth

Since Specialization
Citations

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

Fields of papers citing papers by Gergely Tóth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gergely Tóth

This figure shows the co-authorship network connecting the top 25 collaborators of Gergely Tóth. A scholar is included among the top collaborators of Gergely 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 Gergely Tóth. Gergely Tóth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 8
2 3
3 26
4 8
5 4
6 24
7 36
8 15
9 54
10 69
11 1
12 38
13 82
14 3
15 59
16 5
17 1
18 1

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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2026