Lisa M. Marselle
- Virology top 0.5%
- Molecular Biology top 10%
- Immunology top 5%
- Infectious Diseases top 2%
- Epidemiology top 10%
- Co-authors
- Mary‐Ellen HarperRichard L. GalloFlossie Wong‐StaalJeanne B. LawrenceRobert H. SingerAmanda G. FisherRobert C. GalloAnna Aldovini
- Topics
- T-cell and Retrovirus Studies (10 papers)Animal Disease Management and Epidemiology (8 papers)Vector-Borne Animal Diseases (6 papers)
- Partner nations
- United States
In The Last Decade
Lisa M. Marselle
12 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Virology 1.1k
- Molecular Biology 724
- Immunology 680
- Infectious Diseases 562
- Epidemiology 366
Countries citing papers authored by Lisa M. Marselle
This map shows the geographic impact of Lisa M. Marselle'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 Lisa M. Marselle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa M. Marselle more than expected).
Fields of papers citing papers by Lisa M. Marselle
This network shows the impact of papers produced by Lisa M. Marselle. 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 Lisa M. Marselle. The network helps show where Lisa M. Marselle may publish in the future.
Co-authorship network of co-authors of Lisa M. Marselle
This figure shows the co-authorship network connecting the top 25 collaborators of Lisa M. Marselle. A scholar is included among the top collaborators of Lisa M. Marselle 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 Lisa M. Marselle. Lisa M. Marselle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 34 | |
| 4 | 357 | |
| 5 | 5 | |
| 6 | 25 | |
| 7 | The trans-activator gene of HTLV-III is essential for virus replicationbreakdown → | 539 |
| 8 | Detection of lymphocytes expressing human T-lymphotropic virus type III in lymph nodes and peripheral blood from infected individuals by in situ hybridization.breakdown → | 628 |
| 9 | 15 | |
| 10 | 200 | |
| 11 | HTLV-III expression in infected lymph nodes and relevance to pathogenesis of lymphadenopathy. | 136 |
| 12 | 71 |
About Lisa M. Marselle
Lisa M. Marselle is a scholar working on Agronomy and Crop Science, Immunology and Ecology, Evolution, Behavior and Systematics, having authored 12 papers that have together received 2.0k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (10 papers), Animal Disease Management and Epidemiology (8 papers) and Vector-Borne Animal Diseases (6 papers). The work is most often cited by research in Virology (1.1k citations), Immunology (680 citations) and Infectious Diseases (562 citations). Lisa M. Marselle has collaborated with scholars based in United States. Frequent co-authors include Mary‐Ellen Harper, Richard L. Gallo, Flossie Wong‐Staal, Jeanne B. Lawrence, Robert H. Singer, Amanda G. Fisher, Robert C. Gallo, Anna Aldovini, Matthew A. Gonda and Steven F. Josephs. Their work appears in journals such as Nature, Science and New England 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.