M. Csató

28 papers receiving 480 citations

Peers

M. Csató
Comparison fields: 5 of 95
  • Small Animals 146
  • Dermatology 96
  • Computational Theory and Mathematics 66
  • Microbiology 23
  • Immunology 74
Replace David J. Esdaile with:
David J. Esdaile United Kingdom
Johan A. van Burgsteden Netherlands
Yuko Nukada Japan
Hans-Werner Vohr Germany
Joost P. Bruijntjes Netherlands
G. Klecak Switzerland
Naohisa Tsutsui Japan
Sidonie N. Lavergne United States
Karen Tilmant Belgium
Lorraine E. Twerdok United States
M. Csató relative to David J. Esdaile United Kingdom David J. Esdaile's profile →
Citations per field
00.5×7.7×
David J. Esdaile · 1×
Citations per year

Countries citing papers authored by M. Csató

Since Specialization
Citations

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

Fields of papers citing papers by M. Csató

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998207
2 199760
3 201134
4 198330
5 200425
6 198915
7 201114
8 199013
9 201313
10 198712
11 198811
12 19849
13 19839
14 19888
15 19855
16 19955
17 19883
18 19883
19 19903
20
Polymorphonuclear leukocyte function in psoriasis vulgaris.
19833

About M. Csató

M. Csató is a scholar working on Dermatology, Physiology, Molecular Biology, Epidemiology and Immunology, having authored 28 papers that have together received 495 indexed citations. Recurring topics across this work include Contact Dermatitis and Allergies (5 papers), Dermatology and Skin Diseases (4 papers), Asthma and respiratory diseases (3 papers), Antifungal resistance and susceptibility (3 papers), Autoimmune Bullous Skin Diseases (2 papers), Allergic Rhinitis and Sensitization (2 papers), Computational Drug Discovery Methods (2 papers) and Skin Protection and Aging (2 papers). The work is most often cited by research in Small Animals (146 citations), Dermatology (96 citations), Computational Theory and Mathematics (66 citations), Microbiology (23 citations) and Immunology (74 citations). M. Csató has collaborated with scholars based in Hungary, Switzerland and Germany. Frequent co-authors include A. Dobozy, Jörg Potthast, W.W. Lovell, Dariusz Śladowski, U. Pfannenbecker, Manfred Liebsch, Horst Spielmann, Frank Gerberick, Paul Brantom and W. Steiling. Their work appears in journals such as British Journal of Dermatology, Journal of Investigative Dermatology, Skin Pharmacology and Physiology, Acta Dermato Venereologica and Mutation Research/Genetic Toxicology and Environmental Mutagenesis.

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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