Gerald Willimsky

4.2k citations
49 papers · 2.0k indexed · 1 hit paper · h-index 23
  • Immunology top 2%
    • Immunotherapy and Immune Responses 29
    • Immune Cell Function and Interaction 16
    • T-cell and B-cell Immunology 7
    • Immune cells in cancer 4
  • Oncology top 5%
    • CAR-T cell therapy research 17
    • Cancer Immunotherapy and Biomarkers 13
    • vaccines and immunoinformatics approaches 5
  • Genetics top 10%
    • Virus-based gene therapy research 9

Gerald Willimsky

48 papers receiving 2.0k citations

Hit Papers

Immunosuppressive plasma cells impede T-cell-dependent im...4292015202620182022100200300400

Peers

Gerald Willimsky
Comparison fields: 5 of 107
  • Immunology 1.2k
  • Oncology 981
  • Biotechnology 95
  • Molecular Biology 638
  • Genetics 245
Replace Elfriede Noeßner with:
Elfriede Noeßner Germany
Cheryl Eppolito United States
Volker Teichgräber Switzerland
Harpreet Singh‐Jasuja Germany
Jane L. Howard Australia
Robbert M. Spaapen Netherlands
C Rugarli Italy
Jérôme Thiery France
Carl E. Ruby United States
Emily Corse United States
Gerald Willimsky relative to Elfriede Noeßner Germany Elfriede Noeßner's profile →
Citations per field
00.5×1.5×
Elfriede Noeßner · 1×
Citations per year

Countries citing papers authored by Gerald Willimsky

Since Specialization
Citations

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

Fields of papers citing papers by Gerald Willimsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20241
4 20233
5 20222
6 202211
7 20222
8 202112
9 202112
10 201811
11 201824
12 201812
13 201771
14 201733
15
Immunosuppressive plasma cells impede T-cell-dependent immunogenic chemotherapybreakdown →
2015429
16 201341
17 201012
18 200888
19 200033
20 199243

About Gerald Willimsky

Gerald Willimsky is a scholar working on Immunology, Oncology and Virology, having authored 49 papers that have together received 2.0k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (29 papers), CAR-T cell therapy research (17 papers), Immune Cell Function and Interaction (16 papers), Cancer Immunotherapy and Biomarkers (13 papers), Virus-based gene therapy research (9 papers), T-cell and B-cell Immunology (7 papers), vaccines and immunoinformatics approaches (5 papers) and Immune cells in cancer (4 papers). The work is most often cited by research in Immunology (1.2k citations), Oncology (981 citations) and Biotechnology (95 citations). Gerald Willimsky has collaborated with scholars based in Germany, United States and Croatia. Frequent co-authors include Thomas Blankenstein, Mohamed A. Marahiel, Holger Bang, G. Fischer, Shabnam Shalapour, Peter Birner, Donna E. Hansel, Giuseppe Di, Lukas Kenner and Zhenyu Zhong. Their work appears in journals such as Human Gene Therapy, Frontiers in Immunology, Gene Therapy, Blood and Clinical Cancer Research.

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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