Ákos Tóth

52 papers receiving 1.3k citations

Peers

Ákos Tóth
Comparison fields: 5 of 90
  • Molecular Medicine 922
  • Applied Microbiology and Biotechnology 132
  • Endocrinology 350
  • Clinical Biochemistry 145
  • Infectious Diseases 269
Replace Jingyong Sun with:
Jingyong Sun China
Ulises Garza–Ramos Mexico
Apostolos Liakopoulos Netherlands
Nashwan al Naiemi Netherlands
Yoon I. Kwak United States
Thomas Guillard France
Mikhail V. Edelstein Russia
Jesús Silva-Sánchez Mexico
Frank Hansen Denmark
Maria Lina Mezzatesta Italy
Ákos Tóth relative to Jingyong Sun China Jingyong Sun's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ákos Tóth

Since Specialization
Citations

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

Fields of papers citing papers by Ákos Tóth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ákos Tóth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ákos Tóth Line = papers co-authored together Ákos Tóth links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010235
2 2008178
3 201097
4 200788
5 200762
6 201349
7 201342
8 200641
9 202040
10 201831
11 201230
12 201829
13 201928
14 202024
15 200523
16 202022
17 202122
18 201322
19 200717
20 200515

About Ákos Tóth

Ákos Tóth is a scholar working on Molecular Medicine, Endocrinology, Infectious Diseases, Molecular Biology and Food Science, having authored 52 papers that have together received 1.3k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (39 papers), Vibrio bacteria research studies (9 papers), Salmonella and Campylobacter epidemiology (9 papers), Bacterial biofilms and quorum sensing (8 papers), Pharmaceutical and Antibiotic Environmental Impacts (8 papers), Antimicrobial Resistance in Staphylococcus (7 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers) and Enterobacteriaceae and Cronobacter Research (5 papers). The work is most often cited by research in Molecular Medicine (922 citations), Applied Microbiology and Biotechnology (132 citations), Endocrinology (350 citations), Clinical Biochemistry (145 citations) and Infectious Diseases (269 citations). Ákos Tóth has collaborated with scholars based in Hungary, Sweden and United States. Frequent co-authors include Judit Pászti, M. Füzi, Ivelina Damjanova, Laura Jánvári, Hajo Grundmann, H Milch, Noémi Nógrády, Gian María Rossolini, Vincent Jarlier and Erika Ungvári. Their work appears in journals such as European Journal of Clinical Microbiology & Infectious Diseases, Journal of Medical Microbiology, Antibiotics, Eurosurveillance and International Journal of Antimicrobial Agents.

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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