Reet Tees

987 citations
18 papers · 799 · h-index 13

Impact in

  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • Renal Transplantation Outcomes and Treatments

Papers in

Reet Tees

17 papers receiving 665 citations

Peers

Reet Tees
Comparison fields: 5 of 73
  • Immunology 457
  • Transplantation 41
  • Radiology, Nuclear Medicine and Imaging 168
  • Immunology and Allergy 37
  • Infectious Diseases 74
Replace Katja Brunner with:
Katja Brunner United Kingdom
F T Jay Canada
P Gladstone United States
Arnold S. Rubin United States
Femke J. M. Muller Netherlands
J Charreire France
M English United States
P Liacopoulos France
Curtis McMurtrey United States
Enrico Schiaffella Italy
Reet Tees relative to Katja Brunner United Kingdom Katja Brunner's profile →
Citations per field
00.5×1.5×2.1×
Katja Brunner · 1×
Citations per year

Countries citing papers authored by Reet Tees

Since Specialization
Citations

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

Fields of papers citing papers by Reet Tees

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 1980186
2 1981102
3 199983
4 200476
5 196974
6 198071
7 198739
8 198732
9 198131
10 198230
11
Heterogeneity of accessory cells interacting with T-helper clones.
198622
12 199116
13 198614
14 19879
15 19755
16 19825
17 19794
18 20090

About Reet Tees

Reet Tees is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Oncology and Infectious Diseases, having authored 18 papers that have together received 799 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Cell Adhesion Molecules Research (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Oral and gingival health research (2 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Immunology (457 citations), Transplantation (41 citations), Radiology, Nuclear Medicine and Imaging (168 citations), Immunology and Allergy (37 citations) and Infectious Diseases (74 citations). Reet Tees has collaborated with scholars based in Netherlands, Switzerland and Japan. Frequent co-authors include Max H. Schreier, Norman N. Iscove, L Aarden, F. Lehmann-Grube, Werner Slenczka, Albert A. Nordin, A.T.J. Bianchi, R. Benner, Herbert Hooijkaas and Franco Di Padova. Their work appears in journals such as The Journal of Immunology, Nature, Molecular Immunology, Chemical immunology/Fortschritte der Allergielehre/Progress in allergy/Chemical immunology and allergy and Immunological Reviews.

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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