James G. Files
Impact in
Papers in
-
- RNA and protein synthesis mechanisms 5
- DNA Repair Mechanisms 1
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- Monoclonal and Polyclonal Antibodies Research 3
- Co-authors
- Klaus Weber (6 shared papers)David Hirsh (2 shared papers)Terry Platt (2 shared papers)S.B. Carr (1 shared paper)Jeffrey H Miller (3 shared papers)K. Weber (1 shared paper)Jeffrey D. Gabe (3 shared papers)Ernö Pungor (2 shared papers)
- Journals
- Journal of Interferon & Cytokine Research (4 papers)Journal of Molecular Biology (4 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (2 papers)Virology (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
James G. Files
15 papers receiving 774 citations
Peers
Comparison fields: 5 of 79
- Aging 117
- Genetics 208
- Molecular Biology 513
- Parasitology 42
- Pathology and Forensic Medicine 98
Countries citing papers authored by James G. Files
This map shows the geographic impact of James G. Files'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 James G. Files with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James G. Files more than expected).
Fields of papers citing papers by James G. Files
This network shows the impact of papers produced by James G. Files. 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 James G. Files. The network helps show where James G. Files may publish in the future.
Co-authors
The 25 scholars most cited alongside James G. Files, 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 | 1973 | 199 | |
| 2 | 1983 | 136 | |
| 3 | 1998 | 79 | |
| 4 | 1981 | 69 | |
| 5 | 1974 | 58 | |
| 6 | 1976 | 58 | |
| 7 | 1998 | 55 | |
| 8 | 1988 | 54 | |
| 9 | 1973 | 39 | |
| 10 | 1975 | 37 | |
| 11 | 1985 | 27 | |
| 12 | 1974 | 19 | |
| 13 | 2007 | 15 | |
| 14 | 2013 | 13 | |
| 15 | 1977 | 1 |
About James G. Files
James G. Files is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Genetics, Immunology and Small Animals, having authored 15 papers that have together received 859 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), T-cell and B-cell Immunology (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Bacterial Genetics and Biotechnology (3 papers), Viral Infections and Immunology Research (2 papers), Bacteriophages and microbial interactions (2 papers), Fossil Insects in Amber (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Aging (117 citations), Genetics (208 citations), Molecular Biology (513 citations), Parasitology (42 citations) and Pathology and Forensic Medicine (98 citations). James G. Files has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Klaus Weber, David Hirsh, Terry Platt, S.B. Carr, Jeffrey H Miller, K. Weber, Jeffrey D. Gabe, Ernö Pungor, Eirik Nestaas and William H. Andrews. Their work appears in journals such as Journal of Interferon & Cytokine Research, Journal of Molecular Biology, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Virology.
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.