Beatriz Pacheco
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Infectious Diseases top 5%
- HIV/AIDS drug development and treatment
Papers in
- Virology 25
- HIV Research and Treatment 25
- Immunology 16
- Immune Cell Function and Interaction 12
- interferon and immune responses 4
- T-cell and B-cell Immunology 3
- Co-authors
- Joseph Sodroski (21 shared papers)Andrés Finzi (15 shared papers)Luis Menéndez‐Arias (3 shared papers)Mar Álvarez (1 shared paper)Shi-Hua Xiang (6 shared papers)Peter D. Kwong (4 shared papers)Aemro Kassa (2 shared papers)Liping Wang (2 shared papers)
- Journals
- Journal of Virology (12 papers)Virology (5 papers)Virus Research (2 papers)Molecular Cell (1 paper)Current Opinion in Virology (1 paper)
- Partner nations
- United StatesSpainCanada
In The Last Decade
Beatriz Pacheco
32 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 67
- Virology 733
- Infectious Diseases 403
- Hepatology 137
- Immunology 325
- Epidemiology 243
Countries citing papers authored by Beatriz Pacheco
This map shows the geographic impact of Beatriz Pacheco'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 Beatriz Pacheco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beatriz Pacheco more than expected).
Fields of papers citing papers by Beatriz Pacheco
This network shows the impact of papers produced by Beatriz Pacheco. 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 Beatriz Pacheco. The network helps show where Beatriz Pacheco may publish in the future.
Co-authors
The 25 scholars most cited alongside Beatriz Pacheco, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 161 | |
| 2 | 2014 | 130 | |
| 3 | 2011 | 101 | |
| 4 | 2010 | 61 | |
| 5 | 2019 | 52 | |
| 6 | 2016 | 45 | |
| 7 | 2012 | 41 | |
| 8 | 2010 | 40 | |
| 9 | 2013 | 39 | |
| 10 | 2017 | 35 | |
| 11 | 2010 | 32 | |
| 12 | 2018 | 31 | |
| 13 | 2017 | 31 | |
| 14 | 2010 | 29 | |
| 15 | 2012 | 21 | |
| 16 | 2013 | 21 | |
| 17 | 2013 | 19 | |
| 18 | 2008 | 16 | |
| 19 | 2016 | 16 | |
| 20 | 2007 | 15 |
About Beatriz Pacheco
Beatriz Pacheco is a scholar working on Virology, Immunology, Infectious Diseases, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 32 papers that have together received 1.0k indexed citations. Recurring topics across this work include HIV Research and Treatment (25 papers), HIV/AIDS drug development and treatment (14 papers), Immune Cell Function and Interaction (12 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), interferon and immune responses (4 papers), Hepatitis C virus research (4 papers), T-cell and B-cell Immunology (3 papers) and Protein purification and stability (2 papers). The work is most often cited by research in Virology (733 citations), Infectious Diseases (403 citations), Hepatology (137 citations), Immunology (325 citations) and Epidemiology (243 citations). Beatriz Pacheco has collaborated with scholars based in United States, Spain and Canada. Frequent co-authors include Joseph Sodroski, Andrés Finzi, Luis Menéndez‐Arias, Mar Álvarez, Shi-Hua Xiang, Peter D. Kwong, Aemro Kassa, Liping Wang, Marie Pancera and Cristina Risco. Their work appears in journals such as Journal of Virology, Virology, Virus Research, Molecular Cell and Current Opinion in Virology.
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.