Even Walseng

867 citations
19 papers · 723 · h-index 11

Impact in

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

Papers in

    • Immunotherapy and Immune Responses 12
    • Immune Cell Function and Interaction 9
    • T-cell and B-cell Immunology 8
    • CAR-T cell therapy research 6

Even Walseng

18 papers receiving 711 citations

Peers

Even Walseng
Comparison fields: 5 of 66
  • Immunology 347
  • Oncology 285
  • Cell Biology 88
  • Radiology, Nuclear Medicine and Imaging 108
  • Physiology 19
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Even Walseng relative to Meng Wu China Meng Wu's profile →
Citations per field
00.5×1.5×2.5×
Meng Wu · 1×
Citations per year

Countries citing papers authored by Even Walseng

Since Specialization
Citations

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

Fields of papers citing papers by Even Walseng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2008110
2 201595
3 201091
4 201780
5 201778
6 201561
7 201250
8 201046
9 201336
10 201633
11 201520
12 201210
13 20166
14 20232
15 20212
16 20151
17 20191
18 20171
19 20250

About Even Walseng

Even Walseng is a scholar working on Immunology, Oncology, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Pathology and Forensic Medicine, having authored 19 papers that have together received 723 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (12 papers), Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (8 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), CAR-T cell therapy research (6 papers), Cancer Mechanisms and Therapy (1 paper), Ubiquitin and proteasome pathways (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Immunology (347 citations), Oncology (285 citations), Cell Biology (88 citations), Radiology, Nuclear Medicine and Imaging (108 citations) and Physiology (19 citations). Even Walseng has collaborated with scholars based in United States, Norway and Japan. Frequent co-authors include Paul A. Roche, Oddmund Bakke, Kazuyuki Furuta, Satoshi Ishido, Karis A. Weih, Gustav Gaudernack, Gunnar Kvalheim, Kyungjin Cho, Christoph Rader and Sébastien Wälchli. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, PLoS ONE, Nature Communications and Journal of Cell Science.

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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