Máté Manczinger

594 citations
21 papers · 359 · h-index 13

Impact in

    • Psoriasis: Treatment and Pathogenesis
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Regulation of Appetite and Obesity

Papers in

    • Immunotherapy and Immune Responses 5
    • T-cell and B-cell Immunology 4
    • Psoriasis: Treatment and Pathogenesis 3
    • Immune Cell Function and Interaction 2
    • vaccines and immunoinformatics approaches 4

Máté Manczinger

21 papers receiving 354 citations

Peers

Máté Manczinger
Comparison fields: 5 of 75
  • Immunology 147
  • Endocrine and Autonomic Systems 42
  • Dermatology 39
  • Endocrinology 13
  • Immunology and Allergy 12
Replace D. Shalhevet with:
D. Shalhevet United States
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Mitsuyoshi Nagura Japan
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Citations per year

Countries citing papers authored by Máté Manczinger

Since Specialization
Citations

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

Fields of papers citing papers by Máté Manczinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201955
2 201545
3 201930
4 201327
5 201327
6 201322
7 202321
8 202319
9 201218
10 202115
11 202113
12 201812
13 201812
14 20219
15 20178
16 20108
17 20126
18 20245
19 20253
20 20152

About Máté Manczinger

Máté Manczinger is a scholar working on Immunology, Molecular Biology, Cell Biology, Dermatology and Endocrine and Autonomic Systems, having authored 21 papers that have together received 359 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), T-cell and B-cell Immunology (4 papers), vaccines and immunoinformatics approaches (4 papers), Dermatology and Skin Diseases (3 papers), Psoriasis: Treatment and Pathogenesis (3 papers), Biotin and Related Studies (2 papers), Computational Drug Discovery Methods (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Immunology (147 citations), Endocrine and Autonomic Systems (42 citations), Dermatology (39 citations), Endocrinology (13 citations) and Immunology and Allergy (12 citations). Máté Manczinger has collaborated with scholars based in Hungary, Germany and Austria. Frequent co-authors include Lajos Kemény, Zsuzsanna Bata‐Csörgõ, Balázs Papp, Csaba Pál, Gergely Groma, G. Szabó, Viktor Müller, Tobias L. Lenz, Gábor Boross and Roberta Dochnal. Their work appears in journals such as Journal of Molecular Neuroscience, Proceedings of the National Academy of Sciences, Journal of Virology, PeerJ and Frontiers in Immunology.

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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