Luisa Sen
Impact in
- Virology top 1%
- HIV Research and Treatment
- Immunology top 5%
- Immune Cell Function and Interaction
Papers in
- Virology 27
- HIV Research and Treatment 27
- Immunology 24
- T-cell and Retrovirus Studies 9
- Immune Cell Function and Interaction 8
- Co-authors
- Luis Borella (12 shared papers)Andrea Mangano (41 shared papers)Rosa Bologna (21 shared papers)Paula Aulicino (28 shared papers)Carlos Rocco (22 shared papers)James T. Casper (3 shared papers)Sunil K. Ahuja (4 shared papers)Srinivas Mummidi (3 shared papers)
- Journals
- AIDS Research and Human Retroviruses (9 papers)Retrovirology (5 papers)The Journal of Immunology (4 papers)Cancer (4 papers)Infection Genetics and Evolution (3 papers)
- Partner nations
- ArgentinaUnited StatesBrazil
In The Last Decade
Luisa Sen
67 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 79
- Virology 601
- Immunology 645
- Hematology 255
- Genetics 215
- Infectious Diseases 370
Countries citing papers authored by Luisa Sen
This map shows the geographic impact of Luisa Sen'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 Luisa Sen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luisa Sen more than expected).
Fields of papers citing papers by Luisa Sen
This network shows the impact of papers produced by Luisa Sen. 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 Luisa Sen. The network helps show where Luisa Sen may publish in the future.
Co-authors
The 25 scholars most cited alongside Luisa Sen, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1975 | 327 | |
| 2 | 2002 | 242 | |
| 3 | 2001 | 185 | |
| 4 | 1973 | 113 | |
| 5 | 2001 | 63 | |
| 6 | 1974 | 49 | |
| 7 | Acute lymphoblastic leukemia (ALL) antigens detected with antisera to E rosette-froming and non-E rosette-forming ALL blasts. | 1977 | 47 |
| 8 | 1975 | 40 | |
| 9 | 2003 | 40 | |
| 10 | 2010 | 39 | |
| 11 | 1991 | 37 | |
| 12 | 1975 | 35 | |
| 13 | 1977 | 31 | |
| 14 | 2004 | 31 | |
| 15 | 2006 | 31 | |
| 16 | 1973 | 29 | |
| 17 | 1980 | 28 | |
| 18 | 2010 | 21 | |
| 19 | 2011 | 21 | |
| 20 | 1974 | 21 |
About Luisa Sen
Luisa Sen is a scholar working on Virology, Immunology, Infectious Diseases, Public Health, Environmental and Occupational Health and Genetics, having authored 67 papers that have together received 1.8k indexed citations. Recurring topics across this work include HIV Research and Treatment (27 papers), HIV/AIDS drug development and treatment (18 papers), HIV/AIDS Research and Interventions (10 papers), T-cell and Retrovirus Studies (9 papers), Immune Cell Function and Interaction (8 papers), Acute Lymphoblastic Leukemia research (7 papers), Chronic Lymphocytic Leukemia Research (7 papers) and Animal Disease Management and Epidemiology (6 papers). The work is most often cited by research in Virology (601 citations), Immunology (645 citations), Hematology (255 citations), Genetics (215 citations) and Infectious Diseases (370 citations). Luisa Sen has collaborated with scholars based in Argentina, United States and Brazil. Frequent co-authors include Luis Borella, Andrea Mangano, Rosa Bologna, Paula Aulicino, Carlos Rocco, James T. Casper, Sunil K. Ahuja, Srinivas Mummidi, Matthew J. Dolan and Seema S. Ahuja. Their work appears in journals such as AIDS Research and Human Retroviruses, Retrovirology, The Journal of Immunology, Cancer and Infection Genetics and Evolution.
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.