Anne Fåne

409 citations
13 papers · 285 · h-index 9

Impact in

    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • CAR-T cell therapy research 7
    • Immunotherapy and Immune Responses 3
    • Immune Cell Function and Interaction 2

Anne Fåne

13 papers receiving 278 citations

Peers

Anne Fåne
Comparison fields: 5 of 41
  • Oncology 192
  • Immunology 121
  • Genetics 42
  • Infectious Diseases 17
  • Biomedical Engineering 41
Replace Brynn B. Duncan with:
Brynn B. Duncan United States
Fiona He United States
Megan S. McAfee United States
Houli Zhao China
Nancy Brewig United Kingdom
Anne K. Wouters Netherlands
Steven Eck United States
Tania Véliz Rodríguez Italy
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Anne Fåne relative to Brynn B. Duncan United States Brynn B. Duncan's profile →
Citations per field
00.5×10×
Brynn B. Duncan · 1×
Citations per year

Countries citing papers authored by Anne Fåne

Since Specialization
Citations

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

Fields of papers citing papers by Anne Fåne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201780
2 201965
3 201941
4 201629
5 201718
6 201615
7 20199
8 20178
9 20168
10 20224
11 20144
12 20233
13 20171

About Anne Fåne

Anne Fåne is a scholar working on Oncology, Immunology, Genetics, Epidemiology and Infectious Diseases, having authored 13 papers that have together received 285 indexed citations. Recurring topics across this work include CAR-T cell therapy research (7 papers), Virus-based gene therapy research (4 papers), Immunotherapy and Immune Responses (3 papers), Streptococcal Infections and Treatments (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Immune Cell Function and Interaction (2 papers), Burkholderia infections and melioidosis (2 papers) and Chemical Looping and Thermochemical Processes (2 papers). The work is most often cited by research in Oncology (192 citations), Immunology (121 citations), Genetics (42 citations), Infectious Diseases (17 citations) and Biomedical Engineering (41 citations). Anne Fåne has collaborated with scholars based in Norway, Australia and United Kingdom. Frequent co-authors include Sébastien Wälchli, Else Marit Inderberg, Gunnar Kvalheim, Gustav Gaudernack, Hakan Köksal, Ibrahim M. Sektioglu, June H. Myklebust, Even Walseng, Pierre Dillard and Marit Renée Myhre. Their work appears in journals such as Emerging infectious diseases, Blood Advances, Human Vaccines & Immunotherapeutics, Journal of Biological Chemistry and EBioMedicine.

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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