Manuel Llano
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Infectious Diseases top 1%
- HIV/AIDS drug development and treatment
Papers in
- Virology 16
- HIV Research and Treatment 16
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- HIV/AIDS drug development and treatment 12
- Co-authors
- Eric M. Poeschla (13 shared papers)Mary Peretz (5 shared papers)Dyana T. Saenz (5 shared papers)Miguel López‐Botet (10 shared papers)Frederic D. Bushman (2 shared papers)Sharon Delgado (3 shared papers)Teresa Bellón (6 shared papers)Francisco Navarro (5 shared papers)
- Journals
- European Journal of Immunology (4 papers)Journal of Molecular Biology (3 papers)Journal of Virology (3 papers)Viruses (3 papers)Retrovirology (2 papers)
- Partner nations
- United StatesSpainFrance
In The Last Decade
Manuel Llano
35 papers receiving 3.0k citations
Manuel Llano's Hit Papers
Peers
Comparison fields: 5 of 82
- Virology 1.4k
- Infectious Diseases 1000
- Immunology 905
- Molecular Biology 1.4k
- Genetics 500
Countries citing papers authored by Manuel Llano
This map shows the geographic impact of Manuel Llano'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 Manuel Llano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuel Llano more than expected).
Fields of papers citing papers by Manuel Llano
This network shows the impact of papers produced by Manuel Llano. 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 Manuel Llano. The network helps show where Manuel Llano may publish in the future.
Co-authors
The 25 scholars most cited alongside Manuel Llano, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A role for LEDGF/p75 in targeting HIV DNA integration Hit paper breakdown → | 2005 | 510 |
| 2 | 2006 | 405 | |
| 3 | 1999 | 305 | |
| 4 | 2004 | 242 | |
| 5 | 2007 | 191 | |
| 6 | 2006 | 151 | |
| 7 | 2004 | 142 | |
| 8 | 2005 | 133 | |
| 9 | 2004 | 131 | |
| 10 | 1997 | 117 | |
| 11 | 1998 | 103 | |
| 12 | 2002 | 91 | |
| 13 | 2000 | 69 | |
| 14 | 2016 | 62 | |
| 15 | 2009 | 59 | |
| 16 | 1998 | 41 | |
| 17 | 2004 | 32 | |
| 18 | 2009 | 27 | |
| 19 | 2017 | 26 | |
| 20 | 2002 | 25 |
About Manuel Llano
Manuel Llano is a scholar working on Virology, Infectious Diseases, Immunology, Molecular Biology and Genetics, having authored 36 papers that have together received 3.0k indexed citations. Recurring topics across this work include HIV Research and Treatment (16 papers), HIV/AIDS drug development and treatment (12 papers), T-cell and B-cell Immunology (10 papers), Immune Cell Function and Interaction (10 papers), Virus-based gene therapy research (7 papers), RNA Interference and Gene Delivery (3 papers), Viral-associated cancers and disorders (3 papers) and Reproductive System and Pregnancy (3 papers). The work is most often cited by research in Virology (1.4k citations), Infectious Diseases (1000 citations), Immunology (905 citations), Molecular Biology (1.4k citations) and Genetics (500 citations). Manuel Llano has collaborated with scholars based in United States, Spain and France. Frequent co-authors include Eric M. Poeschla, Mary Peretz, Dyana T. Saenz, Miguel López‐Botet, Frederic D. Bushman, Sharon Delgado, Teresa Bellón, Francisco Navarro, Daniel E. Geraghty and Angela Ciuffi. Their work appears in journals such as European Journal of Immunology, Journal of Molecular Biology, Journal of Virology, Viruses 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.