Petra Tóth

1.3k citations
24 papers · 1.1k · h-index 15

Impact in

Papers in

    • Lipid Membrane Structure and Behavior 8
    • Receptor Mechanisms and Signaling 4
    • Cellular transport and secretion 13
    • Microtubule and mitosis dynamics 2

Petra Tóth

22 papers receiving 1.0k citations

Peers

Petra Tóth
Comparison fields: 5 of 95
  • Cellular and Molecular Neuroscience 390
  • Surfaces, Coatings and Films 141
  • Cell Biology 292
  • Virology 52
  • Physiology 45
Replace P.A.M. Eagles with:
P.A.M. Eagles United Kingdom
Sathish Ramakrishnan United States
Simona Rodighiero Italy
Fiona K. Bedford United Kingdom
Michele Scorzeto Italy
J.F. Leterrier France
Melanie Lee United Kingdom
Joseph A. DeGiorgis United States
Mahmud Bani‐Yaghoub Canada
Konosuke Kumakura Japan
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Citations per field
00.5×
P.A.M. Eagles · 1×
Citations per year

Countries citing papers authored by Petra Tóth

Since Specialization
Citations

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

Fields of papers citing papers by Petra Tóth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Petra 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 Petra Tóth Line = papers co-authored together Petra Tóth links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006199
2 2002181
3 2009149
4 2007139
5 200959
6 201346
7 201244
8 201833
9 201233
10 201330
11 200529
12 200325
13 200024
14 201621
15 199815
16 20207
17 20156
18 20136
19 20166
20 20176

About Petra Tóth

Petra Tóth is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Virology and Surgery, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cellular transport and secretion (13 papers), Lipid Membrane Structure and Behavior (8 papers), HIV Research and Treatment (5 papers), Receptor Mechanisms and Signaling (4 papers), Neuropeptides and Animal Physiology (4 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Microtubule and mitosis dynamics (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (390 citations), Surfaces, Coatings and Films (141 citations), Cell Biology (292 citations), Virology (52 citations) and Physiology (45 citations). Petra Tóth has collaborated with scholars based in France, United States and Hungary. Frequent co-authors include Nicolas Vitale, Claire Gavériaux‐Ruff, Dominique Filliol, Brigitte L. Kieffer, Grégory Scherrer, Audrey Matifas, Alice D. Lam, Edward L. Stuenkel, Johanna Chluba and Jean‐Claude Voegel. Their work appears in journals such as Journal of Biological Chemistry, Journal of Cell Science, Biochimie, Frontiers in Endocrinology and Journal of Pharmacology and Experimental Therapeutics.

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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