Frida Arrey
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Epidemiology top 5%
- 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
- Oncology 5
- Viral-associated cancers and disorders 4
- Co-authors
- Christian Münz (7 shared papers)Till Strowig (6 shared papers)Patrick C. Rämer (2 shared papers)Fabienne Brilot (3 shared papers)Cagan Gurer (2 shared papers)Dorothee Dormann (1 shared paper)Adolfo García‐Sastre (1 shared paper)Jens Andersen (1 shared paper)
- Journals
- Journal of Clinical Investigation (2 papers)Blood (2 papers)Infection (1 paper)The Journal of Experimental Medicine (1 paper)International Journal of Cancer (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Frida Arrey
10 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 78
- Immunology 714
- Epidemiology 596
- Oncology 339
- Virology 60
- Infectious Diseases 197
Countries citing papers authored by Frida Arrey
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 456 | |
| 2 | 2009 | 254 | |
| 3 | 2014 | 178 | |
| 4 | 2008 | 111 | |
| 5 | 2008 | 101 | |
| 6 | 2010 | 90 | |
| 7 | 2007 | 88 | |
| 8 | 2008 | 29 | |
| 9 | 2019 | 23 | |
| 10 | 2025 | 2 |
About Frida Arrey
Frida Arrey is a scholar working on Immunology, Oncology, Infectious Diseases, Epidemiology and Hematology, 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), Diagnosis and treatment of tuberculosis (1 paper), Biosensors and Analytical Detection (1 paper), Hematopoietic Stem Cell Transplantation (1 paper) and Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Immunology (714 citations), Epidemiology (596 citations), Oncology (339 citations), Virology (60 citations) and Infectious Diseases (197 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, Dorothee Dormann, Adolfo García‐Sastre, Jens Andersen, Tania Torossi and Monique Gannagé. Their work appears in journals such as Journal of Clinical Investigation, Blood, Infection, The Journal of Experimental Medicine 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.