Matthias Marget

1.4k citations
33 papers · 1.1k · h-index 15

Impact in

    • Escherichia coli research studies
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation

Papers in

    • Immune Cell Function and Interaction 7
    • T-cell and B-cell Immunology 5
    • Immunotherapy and Immune Responses 5
    • vaccines and immunoinformatics approaches 3

Matthias Marget

32 papers receiving 1.0k citations

Peers

Matthias Marget
Comparison fields: 5 of 89
  • Endocrinology 125
  • Immunology 374
  • Transplantation 34
  • Molecular Medicine 50
  • Radiology, Nuclear Medicine and Imaging 221
Replace J E Callahan with:
J E Callahan United States
Geeta K. Vemuganti India
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Corey Smith Australia
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Jennifer L. Marshall United Kingdom
Anukanth Anumanthan United States
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Citations per field
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Citations per year

Countries citing papers authored by Matthias Marget

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Marget

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985158
2 2006140
3 2001130
4 1988104
5 200386
6 200364
7 199059
8 200755
9 200841
10 202136
11 201931
12 199823
13 201821
14 200917
15 201416
16 200314
17 201514
18 200511
19 200511
20 20009

About Matthias Marget

Matthias Marget is a scholar working on Immunology, Molecular Biology, Transplantation, Hepatology and Epidemiology, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), Renal Transplantation Outcomes and Treatments (6 papers), T-cell and B-cell Immunology (5 papers), Immunotherapy and Immune Responses (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Hepatitis C virus research (4 papers), Blood groups and transfusion (3 papers) and vaccines and immunoinformatics approaches (3 papers). The work is most often cited by research in Endocrinology (125 citations), Immunology (374 citations), Transplantation (34 citations), Molecular Medicine (50 citations) and Radiology, Nuclear Medicine and Imaging (221 citations). Matthias Marget has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Dieter Kabelitz, G Schmidt, Werner Goebel, Jörg Hacker, Colin Hughes, Stefan Knapp, Hans‐Heinrich Oberg, Daniela Wesch, Michael Duchêne and Susann Beetz. Their work appears in journals such as Clinical Transplantation, The Journal of Immunology, Human Immunology, Journal of Immunological Methods and Journal of Cranio-Maxillofacial Surgery.

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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