Gunter Rappl

54 total papers · 2.7k total citations
42 papers, 2.1k citations indexed

About

Gunter Rappl is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Gunter Rappl has authored 42 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Immunology, 15 papers in Oncology and 13 papers in Molecular Biology. Recurrent topics in Gunter Rappl's work include T-cell and B-cell Immunology (13 papers), Immune Cell Function and Interaction (13 papers) and CAR-T cell therapy research (11 papers). Gunter Rappl is often cited by papers focused on T-cell and B-cell Immunology (13 papers), Immune Cell Function and Interaction (13 papers) and CAR-T cell therapy research (11 papers). Gunter Rappl collaborates with scholars based in Germany, United States and Hong Kong. Gunter Rappl's co-authors include Hinrich Abken, Wolfgang Tilgen, Uwe Reinhold, Andreas Hombach, Selma Ugurel, Markus Chmielewski, David M. Kofler, Annette Schmidt, Christoph Dieterich and Nils‐Göran Larsson and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and The Journal of Cell Biology.

In The Last Decade

Gunter Rappl

42 papers receiving 2.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gunter Rappl 897 896 734 233 207 42 2.1k
Nicholas Borcherding 914 1.0× 1.3k 1.4× 752 1.0× 466 2.0× 120 0.6× 77 2.6k
R E Gay 649 0.7× 1.2k 1.3× 739 1.0× 583 2.5× 226 1.1× 64 3.2k
Jens Gille 829 0.9× 1.4k 1.5× 405 0.6× 368 1.6× 119 0.6× 58 2.7k
Christine Jean 790 0.9× 1.5k 1.6× 460 0.6× 446 1.9× 94 0.5× 52 2.9k
Gangwen Han 694 0.8× 1.6k 1.7× 642 0.9× 504 2.2× 142 0.7× 39 2.9k
Daniel Wu 769 0.9× 1.1k 1.2× 351 0.5× 153 0.7× 114 0.6× 37 2.3k
Manjula Reddy 718 0.8× 736 0.8× 838 1.1× 222 1.0× 89 0.4× 39 2.0k
Lucia De Monte 820 0.9× 632 0.7× 994 1.4× 141 0.6× 192 0.9× 50 2.1k
Christine Dubois 975 1.1× 1.6k 1.8× 354 0.5× 545 2.3× 189 0.9× 40 2.8k
Frédéric Mazurier 498 0.6× 1.6k 1.8× 437 0.6× 454 1.9× 299 1.4× 67 2.8k

Countries citing papers authored by Gunter Rappl

Since Specialization
Citations

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

Fields of papers citing papers by Gunter Rappl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gunter Rappl

This figure shows the co-authorship network connecting the top 25 collaborators of Gunter Rappl. A scholar is included among the top collaborators of Gunter Rappl based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gunter Rappl. Gunter Rappl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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