Danica L. Lerner
- Virology top 1%
- HIV Research and Treatment 13
- Infectious Diseases top 10%
- Epidemiology top 10%
- Herpesvirus Infections and Treatments 9
- Cytomegalovirus and herpesvirus research 4
- Virology and Viral Diseases 2
- Neurology top 10%
- Genetics top 10%
- Virus-based gene therapy research 6
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- Glycosylation and Glycoproteins Research 3
- Protein Kinase Regulation and GTPase Signaling 3
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- Peptidase Inhibition and Analysis 2
- Co-authors
- John H. ElderT R PhillipsHoward S. FoxSteven J. HenriksenPaolo LussoBarna DeyMichael R. BoydOscar Prospéro‐García
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Virology (6 papers)Brain Research (1 paper)
- Partner nations
- United StatesJapanSpain
In The Last Decade
Danica L. Lerner
21 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 81
- Virology 560
- Infectious Diseases 235
- Epidemiology 387
- Neurology 76
- Genetics 253
Countries citing papers authored by Danica L. Lerner
This map shows the geographic impact of Danica L. Lerner'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 Danica L. Lerner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danica L. Lerner more than expected).
Fields of papers citing papers by Danica L. Lerner
This network shows the impact of papers produced by Danica L. Lerner. 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 Danica L. Lerner. The network helps show where Danica L. Lerner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Danica L. Lerner, 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 | 2005 | 3 | |
| 2 | 2004 | 15 | |
| 3 | 2003 | 17 | |
| 4 | 2003 | 10 | |
| 5 | 2003 | 6 | |
| 6 | 2000 | 10 | |
| 7 | 2000 | 34 | |
| 8 | 2000 | 171 | |
| 9 | 1999 | 5 | |
| 10 | 1999 | 11 | |
| 11 | 1999 | 91 | |
| 12 | ネコ免疫不全ウイルス(FIV)プロテアーゼのS3およびS3′サブサイト特異性の分析 in vitroおよびex vivoで,FIV,SIVおよびHIVに効果のある広範囲プロテアーゼ阻害剤の研究 | 1998 | 29 |
| 13 | 1998 | 29 | |
| 14 | 1997 | 51 | |
| 15 | 1996 | 49 | |
| 16 | 1996 | 60 | |
| 17 | 1995 | 85 | |
| 18 | 1994 | 107 | |
| 19 | 1993 | 56 | |
| 20 | 1992 | 132 |
About Danica L. Lerner
Danica L. Lerner is a scholar working on Virology, Epidemiology and Physiology, having authored 21 papers that have together received 1.0k indexed citations. Recurring topics across this work include HIV Research and Treatment (13 papers), Herpesvirus Infections and Treatments (9 papers), Virus-based gene therapy research (6 papers), Cytomegalovirus and herpesvirus research (4 papers), Glycosylation and Glycoproteins Research (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Virology and Viral Diseases (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Virology (560 citations), Infectious Diseases (235 citations) and Epidemiology (387 citations). Danica L. Lerner has collaborated with scholars based in United States, Japan and Spain. Frequent co-authors include John H. Elder, T R Phillips, Howard S. Fox, Steven J. Henriksen, Paolo Lusso, Barna Dey, Michael R. Boyd, Oscar Prospéro‐García, Edward A. Berger and Floyd E. Bloom. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Virology and Brain Research.
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.