Sára Tóth

2.4k citations
58 papers · 1.9k · h-index 21

Impact in

Papers in

    • Mast cells and histamine 13
    • Immune Response and Inflammation 3
    • Cytokine Signaling Pathways and Interactions 11

Sára Tóth

58 papers receiving 1.8k citations

Peers

Sára Tóth
Comparison fields: 5 of 113
  • Immunology 600
  • Endocrine and Autonomic Systems 151
  • Immunology and Allergy 103
  • Oncology 432
  • Cancer Research 230
Replace Danielle L. Krebs with:
Danielle L. Krebs Canada
Paul A. Fischer United States
Marie–Christine Rio France
Hiroki Chikumi Japan
Askar M. Akimzhanov United States
Rong Xiang China
Kazuhiko Aoyagi Japan
Babru Bahan Samal United States
Keri Marie Tate United States
J N Wilcox United States
Sára Tóth relative to Danielle L. Krebs Canada Danielle L. Krebs's profile →
Citations per field
00.5×1.5×
Danielle L. Krebs · 1×
Citations per year

Countries citing papers authored by Sára Tóth

Since Specialization
Citations

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

Fields of papers citing papers by Sára Tóth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000351
2 1990250
3 2004202
4 2017125
5 2006114
6 2001110
7 200461
8 201446
9 202142
10 200241
11 201439
12 201238
13 200530
14 200328
15 200226
16
Soluble interleukin-6 receptor in plasma and in lymphocyte culture supernatants of healthy individuals and patients with systemic lupus erythematosus and rheumatoid arthritis.
200125
17 200324
18 201324
19 201224
20 200022

About Sára Tóth

Sára Tóth is a scholar working on Immunology, Oncology, Molecular Biology, Immunology and Allergy and Cancer Research, having authored 58 papers that have together received 1.9k indexed citations. Recurring topics across this work include Mast cells and histamine (13 papers), Cytokine Signaling Pathways and Interactions (11 papers), RNA Research and Splicing (4 papers), Polyamine Metabolism and Applications (4 papers), Cell Adhesion Molecules Research (4 papers), Biochemical Analysis and Sensing Techniques (3 papers), Extracellular vesicles in disease (3 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Immunology (600 citations), Endocrine and Autonomic Systems (151 citations), Immunology and Allergy (103 citations), Oncology (432 citations) and Cancer Research (230 citations). Sára Tóth has collaborated with scholars based in Hungary, United States and United Kingdom. Frequent co-authors include András Falus, Hargita Hegyesi, Eszter Lázár‐Molnár, Zoltán Wiener, Austin G Smith, Krisztina Hegyi, Péter Igaz, Anthony C. Willis, Peter David Rathjen and John K. Heath. Their work appears in journals such as Cellular and Molecular Life Sciences, Immunology Letters, Cytokine, Inflammation Research and Cell Biology International.

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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