S. Tóth

446 citations
39 papers · 370 · h-index 12

Impact in

Papers in

    • Ion Transport and Channel Regulation 3
    • Coenzyme Q10 studies and effects 2
    • Pancreatic function and diabetes 2

S. Tóth

37 papers receiving 341 citations

Peers

S. Tóth
Comparison fields: 5 of 91
  • Pharmacology 68
  • Endocrinology, Diabetes and Metabolism 64
  • Aging 5
  • Neurology 39
  • Reproductive Medicine 15
Replace Kenji Nagai with:
Kenji Nagai Japan
Berrin İmge Ergüder Türkiye
Lars Hansen Denmark
Ronald O. Langner United States
Cynthia J. Williams United States
Gülce Naz Yazıcı Türkiye
Lifang Li China
Alexander Kaminsky United States
Akima Miyoshi Japan
S. Schwartz Spain
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Citations per field
00.5×3.8×
Kenji Nagai · 1×
Citations per year

Countries citing papers authored by S. Tóth

Since Specialization
Citations

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

Fields of papers citing papers by S. Tóth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197154
2 200540
3 197135
4 198533
5 198722
6 201820
7 196618
8
[Prevalence of patellofemoral pain syndrome. Evaluation of the role of biomechanical malalignments and the role of sport activity].
200417
9 198517
10 197017
11 200113
12 199313
13 199210
14 20017
15 20016
16 19715
17 19925
18
Influence of spironolactone and other steroids on the plasma level of digitoxin.
19725
19 19714
20
Oxygen poisoning and thyroid function.
19693

About S. Tóth

S. Tóth is a scholar working on Molecular Biology, Surgery, Oncology, Epidemiology and Immunology, having authored 39 papers that have together received 370 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (3 papers), Immune Response and Inflammation (3 papers), Ion Transport and Channel Regulation (3 papers), Coenzyme Q10 studies and effects (2 papers), Eicosanoids and Hypertension Pharmacology (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Pancreatic function and diabetes (2 papers) and Meningioma and schwannoma management (2 papers). The work is most often cited by research in Pharmacology (68 citations), Endocrinology, Diabetes and Metabolism (64 citations), Aging (5 citations), Neurology (39 citations) and Reproductive Medicine (15 citations). S. Tóth has collaborated with scholars based in Hungary, Canada and United States. Frequent co-authors include B Solymoss, J. Werringloer, János Vajda, Béla Csaba, Hans Selye, Peter Dominiak, H. Grobecker, Imre Zs.-Nagy, Zoltán Tóth and E. Pásztor. Their work appears in journals such as Cellular and Molecular Life Sciences, Canadian Journal of Physiology and Pharmacology, Steroids, Journal of Molecular Medicine and Archives of Oral Biology.

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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