Eva Halapi
Impact in
- Virology top 2%
- HIV Research and Treatment
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Immunology 28
- Immune Cell Function and Interaction 15
- T-cell and B-cell Immunology 11
- Immunotherapy and Immune Responses 7
- Immunodeficiency and Autoimmune Disorders 7
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- HIV/AIDS Research and Interventions 6
- Co-authors
- Rolf Kiessling (10 shared papers)Håkon Håkonarson (10 shared papers)Gabriella Scarlatti (8 shared papers)Thomas Leitner (6 shared papers)Eva K. Pisa (2 shared papers)Anders Bucht (5 shared papers)Pavel Pisa (2 shared papers)Jan Albert (4 shared papers)
In The Last Decade
Eva Halapi
55 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 106
- Virology 380
- Immunology 894
- Infectious Diseases 388
- Immunology and Allergy 80
- Physiology 343
Countries citing papers authored by Eva Halapi
This map shows the geographic impact of Eva Halapi'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 Halapi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Halapi more than expected).
Fields of papers citing papers by Eva Halapi
This network shows the impact of papers produced by Eva Halapi. 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 Halapi. The network helps show where Eva Halapi may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Halapi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 212 | |
| 2 | 1993 | 159 | |
| 3 | Analysis of heterogeneous viral populations by direct DNA sequencing. | 1993 | 137 |
| 4 | 2005 | 121 | |
| 5 | 1995 | 112 | |
| 6 | 2002 | 90 | |
| 7 | 1995 | 85 | |
| 8 | 2001 | 79 | |
| 9 | 1990 | 76 | |
| 10 | 2001 | 65 | |
| 11 | 1997 | 57 | |
| 12 | 1996 | 53 | |
| 13 | 1993 | 50 | |
| 14 | 1994 | 48 | |
| 15 | 1990 | 43 | |
| 16 | 2015 | 40 | |
| 17 | 1997 | 31 | |
| 18 | 1997 | 30 | |
| 19 | 2004 | 30 | |
| 20 | 2003 | 29 |
About Eva Halapi
Eva Halapi is a scholar working on Immunology, Infectious Diseases, Oncology, Physiology and Virology, having authored 57 papers that have together received 1.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (15 papers), T-cell and B-cell Immunology (11 papers), Asthma and respiratory diseases (10 papers), HIV Research and Treatment (9 papers), Immunotherapy and Immune Responses (7 papers), CAR-T cell therapy research (7 papers), Immunodeficiency and Autoimmune Disorders (7 papers) and HIV/AIDS Research and Interventions (6 papers). The work is most often cited by research in Virology (380 citations), Immunology (894 citations), Infectious Diseases (388 citations), Immunology and Allergy (80 citations) and Physiology (343 citations). Eva Halapi has collaborated with scholars based in Sweden, Iceland and Italy. Frequent co-authors include Rolf Kiessling, Håkon Håkonarson, Gabriella Scarlatti, Thomas Leitner, Eva K. Pisa, Anders Bucht, Pavel Pisa, Jan Albert, Paolo Rossi and Hans Wigzell. Their work appears in journals such as Scandinavian Journal of Immunology, AIDS, Proceedings of the National Academy of Sciences, American Journal of Respiratory and Critical Care Medicine and Blood.
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.