Tim Kees

1.0k citations
8 papers · 781 · h-index 8

Impact in

  • Immunology top 10%
    • Immune cells in cancer
    • Immunotherapy and Immune Responses
    • Phagocytosis and Immune Regulation
    • Immune Cell Function and Interaction
  • Oncology top 10%
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Immune cells in cancer 6
    • Immunotherapy and Immune Responses 2
    • Immune Cell Function and Interaction 2
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 1
    • Phagocytosis and Immune Regulation 1
    • Neuroinflammation and Neurodegeneration Mechanisms 3

Tim Kees

8 papers receiving 775 citations

Peers

Tim Kees
Comparison fields: 5 of 73
  • Immunology 391
  • Oncology 305
  • Neurology 66
  • Cancer Research 113
  • Genetics 58
Replace Paul R. Gielen with:
Paul R. Gielen Netherlands
Grace A. Hernandez United States
Hikmat Assi United States
Álex Cordero United States
Andrea C. Eitelhuber Germany
Sandra Pinton Switzerland
Lora H. Ellenson United States
Cheryl J. Aslakson United States
Ilaria Guccini Switzerland
J. A. Gutierrez United States
Tim Kees relative to Paul R. Gielen Netherlands Paul R. Gielen's profile →
Citations per field
00.5×1.5×
Paul R. Gielen · 1×
Citations per year

Countries citing papers authored by Tim Kees

Since Specialization
Citations

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

Fields of papers citing papers by Tim Kees

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2012381
2 2021171
3 201163
4 200847
5 201044
6 201038
7 201126
8 200811

About Tim Kees

Tim Kees is a scholar working on Immunology, Neurology, Molecular Biology, Genetics and Epidemiology, having authored 8 papers that have together received 781 indexed citations. Recurring topics across this work include Immune cells in cancer (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Immunotherapy and Immune Responses (2 papers), Immune Cell Function and Interaction (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Phagocytosis and Immune Regulation (1 paper), Sphingolipid Metabolism and Signaling (1 paper) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Immunology (391 citations), Oncology (305 citations), Neurology (66 citations), Cancer Research (113 citations) and Genetics (58 citations). Tim Kees has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Mikala Egeblad, Vicki Plaks, Morten G. Rasch, Jae‐Hyun Park, Miriam R. Fein, Mina J. Bissell, Andrew J. Ewald, Pranay Sinha, Hanne A. Askautrud and Elizabeth S. Nakasone. Their work appears in journals such as Cancer Cell, Glia, Journal of Neuroimmunology, Neuro-Oncology and 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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