Karin Weening

1k citations
28 papers · 855 · h-index 17

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • CAR-T cell therapy research

Papers in

    • T-cell and B-cell Immunology 6
    • Immunotherapy and Immune Responses 2
    • CAR-T cell therapy research 5

Karin Weening

28 papers receiving 840 citations

Peers

Karin Weening
Comparison fields: 5 of 70
  • Immunology 208
  • Oncology 163
  • Hepatology 34
  • Public Health, Environmental and Occupational Health 115
  • Biomedical Engineering 128
Replace Emily E. Speranza with:
Emily E. Speranza United States
Douglas C. Wilson United States
Vadim I. Nazarov Russia
Almohanad A. Alkayyal Saudi Arabia
Timm Weber Germany
Jennifer L. Williams United States
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Citations per field
00.5×2×4×6.7×
Emily E. Speranza · 1×
Citations per year

Countries citing papers authored by Karin Weening

Since Specialization
Citations

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

Fields of papers citing papers by Karin Weening

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013124
2 2018112
3 200281
4 201973
5 201745
6 201635
7 202034
8 202030
9 202430
10 200729
11 201026
12 201726
13 200625
14 200323
15 201722
16 201220
17 202319
18 200117
19 202117
20 202315

About Karin Weening

Karin Weening is a scholar working on Immunology, Oncology, Hepatology, Molecular Biology and Biomedical Engineering, having authored 28 papers that have together received 855 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Slime Mold and Myxomycetes Research (5 papers), CAR-T cell therapy research (5 papers), Phosphodiesterase function and regulation (4 papers), Hepatitis Viruses Studies and Epidemiology (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Immunotherapy and Immune Responses (2 papers) and Receptor Mechanisms and Signaling (1 paper). The work is most often cited by research in Immunology (208 citations), Oncology (163 citations), Hepatology (34 citations), Public Health, Environmental and Occupational Health (115 citations) and Biomedical Engineering (128 citations). Karin Weening has collaborated with scholars based in Belgium, United Kingdom and United States. Frequent co-authors include Pauline Schaap, Marcel E. Meima, Bart Vandekerckhove, Glenn Goetgeluk, Tessa Kerre, Elisa Alvarez‐Curto, Sarah Bonte, Stijn De Munter, Philip Meuleman and Geert G Leroux-Roels. Their work appears in journals such as International Journal of Molecular Sciences, OncoImmunology, The Journal of Experimental Medicine, Journal of Biological Chemistry and Journal of Clinical Investigation.

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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