J. Hovis
- Molecular Biology
- Genetics top 10%
- Oncology
- Infectious Diseases top 10%
- Cancer Research
- Co-authors
- John D. MinnaLéon RosenBruce E. JohnsonTakahiro YanoAdi F. GazdarStephen L. GrazianoHiltrud BrauchGeorge D. Sorenson
- Topics
- Virus-based gene therapy research (8 papers)Viral gastroenteritis research and epidemiology (5 papers)Immunotherapy and Immune Responses (2 papers)
- Journals
- New England Journal of MedicineJNCI Journal of the National Cancer InstituteAmerican Journal of Epidemiology
- Partner nations
- United States
In The Last Decade
J. Hovis
11 papers receiving 409 citations
Peers
Comparison fields: 5 of 47
- Molecular Biology 229
- Genetics 187
- Oncology 151
- Infectious Diseases 116
- Cancer Research 93
Countries citing papers authored by J. Hovis
This map shows the geographic impact of J. Hovis'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. Hovis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Hovis more than expected).
Fields of papers citing papers by J. Hovis
This network shows the impact of papers produced by J. Hovis. 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. Hovis. The network helps show where J. Hovis may publish in the future.
Co-authorship network of co-authors of J. Hovis
This figure shows the co-authorship network connecting the top 25 collaborators of J. Hovis. A scholar is included among the top collaborators of J. Hovis 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 J. Hovis. J. Hovis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 287 | |
| 2 | 6 | |
| 3 | Selection and rejection of retrovirus-expressing tumor cells from a heterogeneous murine leukemia virus-infected cell population. | 3 |
| 4 | Antigenic variants isolated from a mutagen-treated guinea pig fibrosarcoma. | 2 |
| 5 | Tumor rejection mediated by an amphotropic murine leukemia virus. | 6 |
| 6 | Rejection of retrovirus-infected tumor cells in guinea pigs: effect on bystander tumor cells. | 2 |
| 7 | 27 | |
| 8 | 19 | |
| 9 | 28 | |
| 10 | 59 | |
| 11 | 16 |
About J. Hovis
J. Hovis is a scholar working on Genetics, Infectious Diseases and Animal Science and Zoology, having authored 11 papers that have together received 455 indexed citations. Recurring topics across this work include Virus-based gene therapy research (8 papers), Viral gastroenteritis research and epidemiology (5 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Genetics (187 citations), Infectious Diseases (116 citations) and Cancer Research (93 citations). J. Hovis has collaborated with scholars based in United States. Frequent co-authors include John D. Minna, Léon Rosen, Bruce E. Johnson, Takahiro Yano, Adi F. Gazdar, Stephen L. Graziano, Hiltrud Brauch, George D. Sorenson, Bernard J. Poiesz and Olive S. Pettengill. Their work appears in journals such as New England Journal of Medicine, JNCI Journal of the National Cancer Institute and American Journal of Epidemiology.
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.