Frida Arrey

1.6k citations
9 papers · 1.3k indexed · h-index 9

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Autophagy in Disease and Therapy
    • Cytomegalovirus and herpesvirus research
    • Influenza Virus Research Studies

Papers in

    • Immune Cell Function and Interaction 6
    • T-cell and B-cell Immunology 3
    • Immunotherapy and Immune Responses 1
    • Immune Response and Inflammation 1
    • Viral-associated cancers and disorders 4

Frida Arrey

9 papers receiving 1.3k citations

Peers

Frida Arrey
Comparison fields: 5 of 84
  • Immunology 713
  • Epidemiology 600
  • Virology 63
  • Oncology 324
  • Infectious Diseases 188
Replace Patrick C. Rämer with:
Patrick C. Rämer Switzerland
Casper Paludan United States
Wendy G. Tan United States
Monique Gannagé Switzerland
Mude Shi United States
David Jesse Sanchez United States
Naoya Shimada Japan
Michiel van Gent Netherlands
Helen Cumming Australia
Frida Arrey relative to Patrick C. Rämer Switzerland Patrick C. Rämer's profile →
Citations per field
00.5×1.7×
Patrick C. Rämer · 1×
Citations per year

Countries citing papers authored by Frida Arrey

Since Specialization
Citations

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

Fields of papers citing papers by Frida Arrey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

9 of 9 papers shown
#Work
1 201922
2 2014164
3 201086
4 2009243
5 2009446
6 200892
7 200827
8 2008108
9 200780

About Frida Arrey

Frida Arrey is a scholar working on Immunology, Oncology, Infectious Diseases, Hematology and Epidemiology, having authored 9 papers that have together received 1.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), Viral-associated cancers and disorders (4 papers), T-cell and B-cell Immunology (3 papers), Tuberculosis Research and Epidemiology (2 papers), Autophagy in Disease and Therapy (1 paper), Diagnosis and treatment of tuberculosis (1 paper), Immunotherapy and Immune Responses (1 paper) and Immune Response and Inflammation (1 paper). The work is most often cited by research in Immunology (713 citations), Epidemiology (600 citations), Virology (63 citations), Oncology (324 citations) and Infectious Diseases (188 citations). Frida Arrey has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Christian Münz, Till Strowig, Patrick C. Rämer, Fabienne Brilot, Monique Gannagé, Monica Lee, Randy A. Albrecht, Gina M. Conenello, Marc Pypaert and Dorothee Dormann. Their work appears in journals such as Journal of Clinical Investigation, Blood, The Journal of Experimental Medicine, PLoS Pathogens and International Journal of Cancer.

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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