Sander Tuit

447 citations
11 papers · 333 · h-index 6

Impact in

  • Immunology top 10%
    • Immune cells in cancer
    • Phagocytosis and Immune Regulation
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Cancer, Hypoxia, and Metabolism

Papers in

    • Immune cells in cancer 4
    • Immunotherapy and Immune Responses 2
    • Immune Cell Function and Interaction 2
    • Labor market dynamics and wage inequality 4
    • Unemployment and Economic Growth 3

Sander Tuit

11 papers receiving 332 citations

Peers

Sander Tuit
Comparison fields: 5 of 47
  • Immunology 223
  • Cancer Research 65
  • Oncology 111
  • Biological Psychiatry 8
  • Molecular Biology 107
Replace Keno Mentor with:
Keno Mentor United Kingdom
Berta Hernández Spain
George A. Crabill United States
Sadie Whittaker United States
Leila J. Williams United States
Sarah Nersesian Canada
Torben Wilms Sweden
Robert Dengler Germany
Aude-Marie Savoye France
Sander Tuit relative to Keno Mentor United Kingdom Keno Mentor's profile →
Citations per field
00.5×2.7×
Keno Mentor · 1×
Citations per year

Countries citing papers authored by Sander Tuit

Since Specialization
Citations

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

Fields of papers citing papers by Sander Tuit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2019126
2 2016103
3 202033
4 201923
5 201020
6 202318
7 20223
8 20103
9
Optimal unemployment insurance design
20072
10 20251
11 20101

About Sander Tuit

Sander Tuit is a scholar working on Immunology, Economics and Econometrics, Molecular Biology, General Health Professions and Oncology, having authored 11 papers that have together received 333 indexed citations. Recurring topics across this work include Labor market dynamics and wage inequality (4 papers), Immune cells in cancer (4 papers), Unemployment and Economic Growth (3 papers), Epigenetics and DNA Methylation (2 papers), Immunotherapy and Immune Responses (2 papers), Employment and Welfare Studies (2 papers), Immune Cell Function and Interaction (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Immunology (223 citations), Cancer Research (65 citations), Oncology (111 citations), Biological Psychiatry (8 citations) and Molecular Biology (107 citations). Sander Tuit has collaborated with scholars based in Netherlands, Germany and Australia. Frequent co-authors include Thomas Ulas, Joachim L. Schultze, Jan C. van Ours, Karin E. de Visser, Cheei‐Sing Hau, Camilla Salvagno, Gosse J. Adema, Theo S. Plantinga, Johannes W. A. Smit and Leo A. B. Joosten. Their work appears in journals such as OncoImmunology, Cell Reports, Economics Letters, Frontiers in Immunology and Blood.

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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