Jörg Willers

1.4k citations
27 papers · 1.1k · h-index 17

Impact in

Papers in

    • T-cell and B-cell Immunology 9
    • Immunotherapy and Immune Responses 8
    • T-cell and Retrovirus Studies 3
    • vaccines and immunoinformatics approaches 5
    • RNA Interference and Gene Delivery 2

Jörg Willers

26 papers receiving 1.0k citations

Peers

Jörg Willers
Comparison fields: 5 of 91
  • Immunology and Allergy 116
  • Dermatology 142
  • Immunology 322
  • Toxicology 45
  • Physiology 184
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Citations per field
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Citations per year

Countries citing papers authored by Jörg Willers

Since Specialization
Citations

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

Fields of papers citing papers by Jörg Willers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005238
2 2008234
3 2011127
4 200279
5 201556
6 200035
7 199934
8 200234
9 200433
10 200126
11 200523
12 200422
13 200518
14 200218
15 200118
16 200018
17 200416
18 200515
19 200113
20
Proliferation of CD30+ T-helper 2 lymphoma cells can be inhibited by CD30 receptor cross-linking with recombinant CD30 ligand.
200312

About Jörg Willers

Jörg Willers is a scholar working on Immunology, Molecular Biology, Dermatology, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (9 papers), Immunotherapy and Immune Responses (8 papers), Cutaneous lymphoproliferative disorders research (7 papers), vaccines and immunoinformatics approaches (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), T-cell and Retrovirus Studies (3 papers), RNA Interference and Gene Delivery (2 papers) and Smoking Behavior and Cessation (2 papers). The work is most often cited by research in Immunology and Allergy (116 citations), Dermatology (142 citations), Immunology (322 citations), Toxicology (45 citations) and Physiology (184 citations). Jörg Willers has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Martin F. Bachmann, Reinhard Dummer, Patrik Maurer, Wolfgang A. Renner, Günter Burg, Philipp Müller, Darja Kanduc, Gary T. Jennings, F. Röhner and Anya Hammann‐Haenni. Their work appears in journals such as Journal of Investigative Dermatology, Experimental Dermatology, Seminars in Cutaneous Medicine and Surgery, International Journal of Cancer and British Journal of Haematology.

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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