Sissel Trachsel

885 citations
8 papers · 769 · h-index 8

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis
    • CAR-T cell therapy research

Papers in

    • Immunotherapy and Immune Responses 5
    • CAR-T cell therapy research 2
    • Cancer Immunotherapy and Biomarkers 2
    • Cancer Cells and Metastasis 1

Sissel Trachsel

8 papers receiving 737 citations

Peers

Sissel Trachsel
Comparison fields: 5 of 63
  • Immunology 316
  • Oncology 356
  • Biotechnology 90
  • Cancer Research 86
  • Physiology 120
Replace Mona Møller with:
Mona Møller Norway
Danielle M. Lussier United States
Kathryn E. Ruisaard United States
Yi Zeng China
Shankar K. Nayak United States
Gaël Sugano United Kingdom
Shamaila Munir Ahmad Denmark
Leyre Resano Spain
Karan Kohli United States
Bradley N. Bidwell Australia
Sissel Trachsel relative to Mona Møller Norway Mona Møller's profile →
Citations per field
00.5×1.5×
Mona Møller · 1×
Citations per year

Countries citing papers authored by Sissel Trachsel

Since Specialization
Citations

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

Fields of papers citing papers by Sissel Trachsel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2006206
2 1998119
3 1997103
4 201197
5 201291
6 201759
7 200947
8 201147

About Sissel Trachsel

Sissel Trachsel is a scholar working on Immunology, Oncology, Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine and Physiology, having authored 8 papers that have together received 769 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), CAR-T cell therapy research (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Glycosylation and Glycoproteins Research (1 paper), Microfluidic and Bio-sensing Technologies (1 paper), Cancer Cells and Metastasis (1 paper), Erythrocyte Function and Pathophysiology (1 paper) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Immunology (316 citations), Oncology (356 citations), Biotechnology (90 citations), Cancer Research (86 citations) and Physiology (120 citations). Sissel Trachsel has collaborated with scholars based in Norway, Denmark and Switzerland. Frequent co-authors include Gustav Gaudernack, Gunnar Kvalheim, Steinar Aamdal, Else-Marit Inderberg-Suso, Kari Lislerud, Mona Møller, Klaus Beiske, Jon Amund Kyte, Elin Borgen and Jon Amund Eriksen. Their work appears in journals such as Cancer Immunology Immunotherapy, OncoImmunology, Clinical Cancer Research, The Journal of Pathology and Journal of Hematotherapy.

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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