István Tóth

548 papers receiving 15.7k citations

István Tóth's Hit Papers

A Global Review on Short Peptides: Frontiers and Perspectives 2021 · 311 citations
3110+5+10Years since publication250500750

Peers

István Tóth
Comparison fields: 5 of 156
  • Microbiology 1.8k
  • Pharmaceutical Science 1.2k
  • Immunology 3.8k
  • Biomaterials 1.8k
  • Endocrinology 695
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Derek T. O’Hagan United States
Wim Jiskoot Netherlands
Carl R. Alving United States
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Gregory C. Gregoriadis United Kingdom
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James R. Baker, Jr. United States
Joshua Daniel Nosanchuk United States
Yvette van Kooyk Netherlands
Philip Louis Felgner United States
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Citations per year

Countries citing papers authored by István Tóth

Since Specialization
Citations

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

Fields of papers citing papers by István Tóth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 564 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Nanoparticle-induced unfolding of fibrinogen promotes Mac-1 receptor activation and inflammation
Hit paper breakdown →
2010791
2
Peptide-based synthetic vaccines
Hit paper breakdown →
2015488
3 2013390
4 2016338
5
A Global Review on Short Peptides: Frontiers and Perspectives
Hit paper breakdown →
2021311
6 2016249
7 2013207
8 2010185
9 2014182
10 2012181
11 2009169
12 2013165
13 2003159
14 2012151
15 2005141
16 2014138
17 1990138
18 2008133
19 2000131
20 2012128

About István Tóth

István Tóth is a scholar working on Immunology, Microbiology, Molecular Biology, Infectious Diseases and Endocrinology, having authored 564 papers that have together received 16.3k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (97 papers), Immunotherapy and Immune Responses (91 papers), Streptococcal Infections and Treatments (80 papers), Glycosylation and Glycoproteins Research (48 papers), Chemical Synthesis and Analysis (48 papers), Antimicrobial Peptides and Activities (47 papers), Neonatal and Maternal Infections (45 papers) and Escherichia coli research studies (43 papers). The work is most often cited by research in Microbiology (1.8k citations), Pharmaceutical Science (1.2k citations), Immunology (3.8k citations), Biomaterials (1.8k citations) and Endocrinology (695 citations). István Tóth has collaborated with scholars based in Australia, Hungary and United Kingdom. Frequent co-authors include Mariusz Skwarczyński, Peter Michael Moyle, Michael J. Monteiro, Mingtao Liang, Michael F. Good, Rodney F. Minchin, Waleed M. Hussein, Mehfuz Zaman, Pavla Simerská and Zhou J. Deng. Their work appears in journals such as Bioorganic & Medicinal Chemistry, International Journal of Pharmaceutics, Journal of Medicinal Chemistry, Current Drug Delivery and Vaccines.

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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