J M McCune
Impact in
- Virology top 1%
- HIV Research and Treatment
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Virology 6
- HIV Research and Treatment 6
-
- Immunodeficiency and Autoimmune Disorders 4
- T-cell and B-cell Immunology 3
- Immune Cell Function and Interaction 3
- Co-authors
- Hideto KaneshimaReiko NamikawaM LiebermanI L WeissmanL D ShultzMark BonyhadiLinda RabinEdward S. Mocarski
- Journals
- The Journal of Immunology (2 papers)Science (2 papers)The Journal of Experimental Medicine (2 papers)Journal of Virology (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
J M McCune
15 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Virology 678
- Immunology 1.1k
- Hematology 261
- Infectious Diseases 404
- Genetics 380
Countries citing papers authored by J M McCune
This map shows the geographic impact of J M McCune'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 J M McCune with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J M McCune more than expected).
Fields of papers citing papers by J M McCune
This network shows the impact of papers produced by J M McCune. 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 J M McCune. The network helps show where J M McCune may publish in the future.
Co-authors
The 25 scholars most cited alongside J M McCune, 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 | 1997 | 30 | |
| 2 | 1996 | 97 | |
| 3 | 1995 | 41 | |
| 4 | 1994 | 88 | |
| 5 | 1993 | 109 | |
| 6 | The SCID-hu mouse: a small animal model for the analysis of human hematolymphoid differentiation and function. | 1992 | 10 |
| 7 | 1991 | 89 | |
| 8 | 1991 | 44 | |
| 9 | 1991 | 60 | |
| 10 | 1990 | 14 | |
| 11 | The SCID-hu Mouse: Murine Model for the Analysis of Human Hematolymphoid Differentiation and Function Hit paper breakdown → | 1988 | 1135 |
| 12 | 1988 | 298 | |
| 13 | 1987 | 18 | |
| 14 | 1981 | 41 | |
| 15 | 1981 | 15 |
About J M McCune
J M McCune is a scholar working on Virology, Immunology, Infectious Diseases, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 15 papers that have together received 2.1k indexed citations. Recurring topics across this work include HIV Research and Treatment (6 papers), Immunodeficiency and Autoimmune Disorders (4 papers), HIV/AIDS drug development and treatment (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), HIV/AIDS Research and Interventions (2 papers) and Herpesvirus Infections and Treatments (2 papers). The work is most often cited by research in Virology (678 citations), Immunology (1.1k citations), Hematology (261 citations), Infectious Diseases (404 citations) and Genetics (380 citations). J M McCune has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Hideto Kaneshima, Reiko Namikawa, M Lieberman, I L Weissman, L D Shultz, Mark Bonyhadi, Linda Rabin, Edward S. Mocarski, Shabnam Salimi and Shu Man Fu. Their work appears in journals such as The Journal of Immunology, Science, The Journal of Experimental Medicine, Journal of Virology and Proceedings of the National Academy of Sciences.
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.