Eva-Maria Fenyö
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Infectious Diseases top 5%
- HIV/AIDS drug development and treatment
- HIV/AIDS Research and Interventions
Papers in
- Virology 13
- HIV Research and Treatment 13
-
- T-cell and Retrovirus Studies 5
- Immune Cell Function and Interaction 5
- Co-authors
- Jan Albert (5 shared papers)Birgitta Åsjö (5 shared papers)Gunnel Biberfeld (3 shared papers)Linda Morfeldt-Månson (1 shared paper)Anders Karlsson (1 shared paper)Knut Lidman (1 shared paper)Francesca Chiodi (4 shared papers)Anders Sönnerborg (2 shared papers)
- Journals
- The Lancet (3 papers)AIDS Research and Human Retroviruses (3 papers)Virology (2 papers)JNCI Journal of the National Cancer Institute (1 paper)Retrovirology (1 paper)
- Partner nations
- SwedenUnited StatesAustralia
In The Last Decade
Eva-Maria Fenyö
18 papers receiving 917 citations
Peers
Comparison fields: 5 of 59
- Virology 806
- Infectious Diseases 472
- Immunology 326
- Epidemiology 181
- Emergency Medicine 42
Countries citing papers authored by Eva-Maria Fenyö
This map shows the geographic impact of Eva-Maria Fenyö'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 Eva-Maria Fenyö with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva-Maria Fenyö more than expected).
Fields of papers citing papers by Eva-Maria Fenyö
This network shows the impact of papers produced by Eva-Maria Fenyö. 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 Eva-Maria Fenyö. The network helps show where Eva-Maria Fenyö may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva-Maria Fenyö, 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 | 1986 | 460 | |
| 2 | 1987 | 133 | |
| 3 | 1987 | 75 | |
| 4 | 2007 | 73 | |
| 5 | 1988 | 55 | |
| 6 | 1987 | 26 | |
| 7 | 1978 | 22 | |
| 8 | 1996 | 20 | |
| 9 | 2009 | 18 | |
| 10 | Influence of genotype and the organ of origin on the subtype of T-cell in Moloney lymphomas induced by transfer of preleukemic cells from athymic and thymus-bearing mice. | 1985 | 13 |
| 11 | 1968 | 13 | |
| 12 | 1995 | 10 | |
| 13 | 2010 | 8 | |
| 14 | 1989 | 7 | |
| 15 | 1994 | 5 | |
| 16 | 2008 | 5 | |
| 17 | 1992 | 4 | |
| 18 | 1981 | 2 |
About Eva-Maria Fenyö
Eva-Maria Fenyö is a scholar working on Virology, Immunology, Infectious Diseases, Epidemiology and Molecular Biology, having authored 18 papers that have together received 949 indexed citations. Recurring topics across this work include HIV Research and Treatment (13 papers), T-cell and Retrovirus Studies (5 papers), Immune Cell Function and Interaction (5 papers), HIV/AIDS Research and Interventions (3 papers), Lymphoma Diagnosis and Treatment (2 papers), HIV/AIDS drug development and treatment (2 papers), Viral-associated cancers and disorders (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Virology (806 citations), Infectious Diseases (472 citations), Immunology (326 citations), Epidemiology (181 citations) and Emergency Medicine (42 citations). Eva-Maria Fenyö has collaborated with scholars based in Sweden, United States and Australia. Frequent co-authors include Jan Albert, Birgitta Åsjö, Gunnel Biberfeld, Linda Morfeldt-Månson, Anders Karlsson, Knut Lidman, Francesca Chiodi, Anders Sönnerborg, P Pehrson and Lars Moberg. Their work appears in journals such as The Lancet, AIDS Research and Human Retroviruses, Virology, JNCI Journal of the National Cancer Institute and Retrovirology.
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.