K. Schell
Impact in
- Virology top 10%
- Animal Science and Zoology top 10%
- Animal Virus Infections Studies
Papers in
- Epidemiology 13
- Virology and Viral Diseases 6
- Hepatitis B Virus Studies 3
- Influenza Virus Research Studies 3
- Genetics 13
- Virus-based gene therapy research 13
- Co-authors
- Robert J. Huebner (5 shared papers)J. S. Rhim (4 shared papers)Mícheál Casey (2 shared papers)Paul M. Sondel (1 shared paper)Radhey S. Gupta (1 shared paper)Indreshpal Kaur (1 shared paper)Stephan D. Voss (1 shared paper)Paul Fisch (1 shared paper)
- Journals
- Experimental Biology and Medicine (8 papers)Archives of Virology (5 papers)Nature (3 papers)Immunology and Cell Biology (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
K. Schell
30 papers receiving 467 citations
Peers
Comparison fields: 5 of 73
- Virology 48
- Animal Science and Zoology 86
- Infectious Diseases 139
- Genetics 218
- Immunology 131
Countries citing papers authored by K. Schell
This map shows the geographic impact of K. Schell'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 K. Schell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Schell more than expected).
Fields of papers citing papers by K. Schell
This network shows the impact of papers produced by K. Schell. 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 K. Schell. The network helps show where K. Schell may publish in the future.
Co-authors
The 22 scholars most cited alongside K. Schell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 122 | |
| 2 | 1965 | 74 | |
| 3 | 1969 | 63 | |
| 4 | 1960 | 51 | |
| 5 | 1960 | 49 | |
| 6 | 1966 | 31 | |
| 7 | 1967 | 21 | |
| 8 | 1972 | 17 | |
| 9 | 1975 | 17 | |
| 10 | 1966 | 13 | |
| 11 | 1968 | 11 | |
| 12 | 1968 | 9 | |
| 13 | 1968 | 8 | |
| 14 | 1966 | 7 | |
| 15 | 1967 | 7 | |
| 16 | 1964 | 7 | |
| 17 | 1980 | 5 | |
| 18 | 1968 | 4 | |
| 19 | 1966 | 4 | |
| 20 | 1966 | 4 |
About K. Schell
K. Schell is a scholar working on Epidemiology, Genetics, Infectious Diseases, Molecular Biology and Animal Science and Zoology, having authored 31 papers that have together received 551 indexed citations. Recurring topics across this work include Virus-based gene therapy research (13 papers), Animal Virus Infections Studies (7 papers), Virology and Viral Diseases (6 papers), Viral gastroenteritis research and epidemiology (5 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Hepatitis B Virus Studies (3 papers), Influenza Virus Research Studies (3 papers) and Transgenic Plants and Applications (3 papers). The work is most often cited by research in Virology (48 citations), Animal Science and Zoology (86 citations), Infectious Diseases (139 citations), Genetics (218 citations) and Immunology (131 citations). K. Schell has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Robert J. Huebner, J. S. Rhim, Mícheál Casey, Paul M. Sondel, Radhey S. Gupta, Indreshpal Kaur, Stephan D. Voss, Paul Fisch, R. M. Chanock and Michael T. Kenny. Their work appears in journals such as Experimental Biology and Medicine, Archives of Virology, Nature, Immunology and Cell Biology 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.