Lori Pearson
Impact in
- Virology top 2%
- HIV Research and Treatment
-
- HIV/AIDS drug development and treatment
Papers in
-
- DNA and Nucleic Acid Chemistry 2
- Cancer-related gene regulation 2
- Advanced biosensing and bioanalysis techniques 2
- RNA and protein synthesis mechanisms 2
- Virology 3
- HIV Research and Treatment 3
- Co-authors
- Richard B. Gaynor (3 shared papers)Joseph A. Garcia (3 shared papers)David Harrich (2 shared papers)Ronald T. Mitsuyasu (1 shared paper)F Wu (2 shared papers)David S. Sigman (5 shared papers)Nidia M. Modesti (1 shared paper)Jay A. Nelson (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)The EMBO Journal (2 papers)Gene (1 paper)Journal of Virology (1 paper)Protein Engineering Design and Selection (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Lori Pearson
11 papers receiving 435 citations
Peers
Comparison fields: 5 of 46
- Virology 241
- Infectious Diseases 101
- Molecular Biology 277
- Genetics 108
- Immunology 77
Countries citing papers authored by Lori Pearson
This map shows the geographic impact of Lori Pearson'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 Lori Pearson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lori Pearson more than expected).
Fields of papers citing papers by Lori Pearson
This network shows the impact of papers produced by Lori Pearson. 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 Lori Pearson. The network helps show where Lori Pearson may publish in the future.
Co-authors
The 24 scholars most cited alongside Lori Pearson, 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 | 1988 | 176 | |
| 2 | 1990 | 89 | |
| 3 | 1990 | 48 | |
| 4 | 1989 | 36 | |
| 5 | 1995 | 30 | |
| 6 | 1994 | 28 | |
| 7 | 1994 | 13 | |
| 8 | 1994 | 10 | |
| 9 | 1997 | 10 | |
| 10 | 1996 | 10 | |
| 11 | 2004 | 1 | |
| 12 | 2017 | 0 |
About Lori Pearson
Lori Pearson is a scholar working on Molecular Biology, Virology, Genetics, Sociology and Political Science and Epidemiology, having authored 12 papers that have together received 451 indexed citations. Recurring topics across this work include HIV Research and Treatment (3 papers), DNA and Nucleic Acid Chemistry (2 papers), Cancer-related gene regulation (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Virus-based gene therapy research (2 papers), RNA and protein synthesis mechanisms (2 papers), Critical Theory and Philosophy (1 paper) and NF-κB Signaling Pathways (1 paper). The work is most often cited by research in Virology (241 citations), Infectious Diseases (101 citations), Molecular Biology (277 citations), Genetics (108 citations) and Immunology (77 citations). Lori Pearson has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Richard B. Gaynor, Joseph A. Garcia, David Harrich, Ronald T. Mitsuyasu, F Wu, David S. Sigman, Nidia M. Modesti, Jay A. Nelson, José Ángel García and J. L. Williams. Their work appears in journals such as Proceedings of the National Academy of Sciences, The EMBO Journal, Gene, Journal of Virology and Protein Engineering Design and Selection.
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.