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 14
- HIV Research and Treatment 14
-
- 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)Anders Karlsson (1 shared paper)Linda Morfeldt-Månson (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)Immunology Letters (1 paper)International Immunology (1 paper)
- Partner nations
- SwedenUnited StatesAustralia
In The Last Decade
Eva-Maria Fenyö
18 papers receiving 951 citations
Peers
Comparison fields: 5 of 60
- Virology 845
- Infectious Diseases 495
- Immunology 339
- Epidemiology 194
- Emergency Medicine 43
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 | 480 | |
| 2 | 1987 | 144 | |
| 3 | 1987 | 78 | |
| 4 | 2007 | 73 | |
| 5 | 1988 | 59 | |
| 6 | 1978 | 29 | |
| 7 | 1987 | 27 | |
| 8 | 1996 | 20 | |
| 9 | 2009 | 18 | |
| 10 | 1968 | 16 | |
| 11 | 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 | 14 |
| 12 | 1995 | 10 | |
| 13 | 2010 | 8 | |
| 14 | 1989 | 7 | |
| 15 | 1994 | 5 | |
| 16 | 2008 | 5 | |
| 17 | 1992 | 4 | |
| 18 | 1997 | 3 | |
| 19 | 1981 | 2 |
About Eva-Maria Fenyö
Eva-Maria Fenyö is a scholar working on Virology, Immunology, Infectious Diseases, Epidemiology and Genetics, having authored 19 papers that have together received 1.0k indexed citations. Recurring topics across this work include HIV Research and Treatment (14 papers), T-cell and Retrovirus Studies (5 papers), Immune Cell Function and Interaction (5 papers), HIV/AIDS Research and Interventions (3 papers), HIV-related health complications and treatments (2 papers), Lymphoma Diagnosis and Treatment (2 papers), HIV/AIDS drug development and treatment (2 papers) and Viral-associated cancers and disorders (2 papers). The work is most often cited by research in Virology (845 citations), Infectious Diseases (495 citations), Immunology (339 citations), Epidemiology (194 citations) and Emergency Medicine (43 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, Anders Karlsson, Linda Morfeldt-Månson, Knut Lidman, Francesca Chiodi, Anders Sönnerborg, Lars Moberg and Hans Gaines. Their work appears in journals such as The Lancet, AIDS Research and Human Retroviruses, Virology, Immunology Letters and International 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.