Máté Tolnay

1.0k citations
34 papers · 831 · h-index 18

Impact in

Papers in

    • T-cell and B-cell Immunology 12
    • Immune Cell Function and Interaction 11
    • Immunodeficiency and Autoimmune Disorders 5
    • Complement system in diseases 5
    • RNA Research and Splicing 6
    • Glycosylation and Glycoproteins Research 4
    • RNA and protein synthesis mechanisms 4

Máté Tolnay

34 papers receiving 817 citations

Peers

Máté Tolnay
Comparison fields: 5 of 63
  • Immunology 456
  • Radiology, Nuclear Medicine and Imaging 206
  • Rheumatology 103
  • Oncology 109
  • Molecular Biology 287
Replace Kathleen McKeever with:
Kathleen McKeever United States
Pak C. Kwong Canada
Makoto Haino Japan
Deborah Webb United States
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Takehiko Sasazuki Japan
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Citations per field
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Citations per year

Countries citing papers authored by Máté Tolnay

Since Specialization
Citations

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

Fields of papers citing papers by Máté Tolnay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201367
2 200366
3 201662
4 200859
5 201146
6 200539
7 199939
8 202034
9 201432
10 199732
11 199831
12 200029
13 200225
14 200323
15 200222
16 200621
17 200119
18 201819
19 202017
20 199917

About Máté Tolnay

Máté Tolnay is a scholar working on Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Oncology, having authored 34 papers that have together received 831 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (12 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), Immune Cell Function and Interaction (11 papers), RNA Research and Splicing (6 papers), Immunodeficiency and Autoimmune Disorders (5 papers), Complement system in diseases (5 papers), Glycosylation and Glycoproteins Research (4 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Immunology (456 citations), Radiology, Nuclear Medicine and Imaging (206 citations), Rheumatology (103 citations), Oncology (109 citations) and Molecular Biology (287 citations). Máté Tolnay has collaborated with scholars based in United States, Hungary and Germany. Frequent co-authors include George C. Tsokos, Yuang‐Taung Juang, Huifang Li, Satoshi Nagata, Tomoko Ise, Klaus Tenbrock, Bazarragchaa Damdinsuren, Francisco Borrego, Lajos Baranyi and Marjorie A. Shapiro. Their work appears in journals such as The Journal of Immunology, Biochemical Journal, Molecular Immunology, International Immunology and Journal of Leukocyte 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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