Frida Arrey

1.6k citations
10 papers · 1.3k · 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
    • Viral-associated cancers and disorders 4

Frida Arrey

10 papers receiving 1.3k citations

Peers

Frida Arrey
Comparison fields: 5 of 77
  • Immunology 687
  • Epidemiology 580
  • Virology 59
  • Oncology 322
  • Infectious Diseases 186
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
Naoya Shimada Japan
David Jesse Sanchez United States
Michiel van Gent Netherlands
Helen Cumming Australia
Alec Redwood Australia
Frida Arrey relative to Patrick C. Rämer Switzerland Patrick C. Rämer's profile →
Citations per field
00.5×1.6×
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-authors

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

10 of 10 papers shown
#Work
1 2009447
2 2009246
3 2014170
4 2008108
5 200893
6 201087
7 200780
8 200827
9 201922
10 20252

About Frida Arrey

Frida Arrey is a scholar working on Immunology, Oncology, Infectious Diseases, Epidemiology and Surgery, having authored 10 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), SARS-CoV-2 detection and testing (1 paper), Immunotherapy and Immune Responses (1 paper), Mycobacterium research and diagnosis (1 paper) and Mosquito-borne diseases and control (1 paper). The work is most often cited by research in Immunology (687 citations), Epidemiology (580 citations), Virology (59 citations), Oncology (322 citations) and Infectious Diseases (186 citations). Frida Arrey has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Christian Münz, Till Strowig, Patrick C. Rämer, Fabienne Brilot, Cagan Gurer, T. Torossi, Marc Pypaert, Jörn Dengjel, Dorothee Dormann and Randy A. Albrecht. Their work appears in journals such as Journal of Clinical Investigation, Blood, Infection, Cell Host & Microbe and Frontiers in Immunology.

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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