Sandra Nusinoff-Lehrman
- Infectious Diseases top 1%
- Virology top 0.5%
- Epidemiology top 5%
- Immunology top 10%
- Molecular Biology
- Co-authors
- Margaret A. FischlGeorge Gee JacksonMichael H. GriecoOscar L. LaskinMartin HirschJerome E. GroopmanMichael S. GottliebDouglas D. Richman
- Topics
- HIV/AIDS drug development and treatment (7 papers)HIV Research and Treatment (6 papers)Herpesvirus Infections and Treatments (5 papers)
- Partner nations
- United StatesUnited KingdomMalaysia
In The Last Decade
Sandra Nusinoff-Lehrman
14 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Infectious Diseases 1.1k
- Virology 907
- Epidemiology 636
- Immunology 247
- Molecular Biology 234
Countries citing papers authored by Sandra Nusinoff-Lehrman
This map shows the geographic impact of Sandra Nusinoff-Lehrman'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 Sandra Nusinoff-Lehrman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandra Nusinoff-Lehrman more than expected).
Fields of papers citing papers by Sandra Nusinoff-Lehrman
This network shows the impact of papers produced by Sandra Nusinoff-Lehrman. 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 Sandra Nusinoff-Lehrman. The network helps show where Sandra Nusinoff-Lehrman may publish in the future.
Co-authorship network of co-authors of Sandra Nusinoff-Lehrman
This figure shows the co-authorship network connecting the top 25 collaborators of Sandra Nusinoff-Lehrman. A scholar is included among the top collaborators of Sandra Nusinoff-Lehrman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sandra Nusinoff-Lehrman. Sandra Nusinoff-Lehrman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 34 | |
| 2 | 6 | |
| 3 | 2 | |
| 4 | 15 | |
| 5 | 45 | |
| 6 | 17 | |
| 7 | Antiviral susceptibilities of herpes simplex virus isolates from infants with recurrent mucocutaneous lesions after neonatal infection. | 21 |
| 8 | 343 | |
| 9 | 21 | |
| 10 | HIV-1 inhibition by azidothymidine in a concurrently randomized placebo-controlled trail. | 16 |
| 11 | The Toxicity of Azidothymidine (AZT) in the Treatment of Patients with AIDS and AIDS-Related Complexbreakdown → | 975 |
| 12 | 55 | |
| 13 | 201 | |
| 14 | Viral resistance, clinical experience. | 44 |
About Sandra Nusinoff-Lehrman
Sandra Nusinoff-Lehrman is a scholar working on Virology, Infectious Diseases and Epidemiology, having authored 14 papers that have together received 1.8k indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (7 papers), HIV Research and Treatment (6 papers) and Herpesvirus Infections and Treatments (5 papers). The work is most often cited by research in Virology (907 citations), Infectious Diseases (1.1k citations) and Epidemiology (636 citations). Sandra Nusinoff-Lehrman has collaborated with scholars based in United States, United Kingdom and Malaysia. Frequent co-authors include Margaret A. Fischl, George Gee Jackson, Michael H. Grieco, Oscar L. Laskin, Martin Hirsch, Jerome E. Groopman, Michael S. Gottlieb, Douglas D. Richman, Donna Mildvan and John M. Leedom. Their work appears in journals such as Nature, New England Journal of Medicine and The American Journal of Medicine.
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.