Tim Wartewig

572 citations
7 papers · 291 · h-index 6

Impact in

    • Immune Cell Function and Interaction
    • T-cell and Retrovirus Studies
    • Immunotherapy and Immune Responses
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Immune Cell Function and Interaction 4
    • interferon and immune responses 1
    • Phagocytosis and Immune Regulation 1
    • IL-33, ST2, and ILC Pathways 1
    • T-cell and Retrovirus Studies 1
    • Immunotherapy and Immune Responses 1
    • Lymphoma Diagnosis and Treatment 3

Tim Wartewig

7 papers receiving 285 citations

Peers

Tim Wartewig
Comparison fields: 5 of 58
  • Immunology 144
  • Oncology 161
  • Dermatology 39
  • Pathology and Forensic Medicine 76
  • Cancer Research 19
Replace Zsuzsanna Kurgyis with:
Zsuzsanna Kurgyis Germany
Kazushi Tanimoto Japan
Yasuyuki Onimaru Japan
Arash Radfar United States
Bernard Wen United States
Marie-Françoise Avril France
Peter Gambell Australia
Mathieu Ferrari United Kingdom
Korina G. Veenstra United States
Ayako Ito Japan
Tim Wartewig relative to Zsuzsanna Kurgyis Germany Zsuzsanna Kurgyis's profile →
Citations per field
00.5×1.5×
Zsuzsanna Kurgyis · 1×
Citations per year

Countries citing papers authored by Tim Wartewig

Since Specialization
Citations

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

Fields of papers citing papers by Tim Wartewig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2017179
2 201935
3 201926
4 201824
5 202214
6 202110
7 20223

About Tim Wartewig

Tim Wartewig is a scholar working on Immunology, Pathology and Forensic Medicine, Oncology, Infectious Diseases and Molecular Biology, having authored 7 papers that have together received 291 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), Lymphoma Diagnosis and Treatment (3 papers), interferon and immune responses (1 paper), Phagocytosis and Immune Regulation (1 paper), IL-33, ST2, and ILC Pathways (1 paper), Dermatology and Skin Diseases (1 paper), T-cell and Retrovirus Studies (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Immunology (144 citations), Oncology (161 citations), Dermatology (39 citations), Pathology and Forensic Medicine (76 citations) and Cancer Research (19 citations). Tim Wartewig has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Jürgen Ruland, Zsuzsanna Kurgyis, Selina J. Keppler, Katja Steiger, Rupert Öllinger, Roland Rad, Roman Maresch, Thorsten Buch, Erik Hameister and Christof Winter. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature, Science Immunology, European Journal of Immunology and Trends 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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