James Respess
Impact in
- Genetics top 10%
- Virus-based gene therapy research
- Animal Genetics and Reproduction
-
- CRISPR and Genetic Engineering
- RNA Interference and Gene Delivery
- Biochemical and Molecular Research
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Viral Infectious Diseases and Gene Expression in Insects
Papers in
-
- CRISPR and Genetic Engineering 4
- RNA and protein synthesis mechanisms 3
- RNA modifications and cancer 3
- Biochemical and Molecular Research 2
- RNA Research and Splicing 2
- Genetics 5
- Virus-based gene therapy research 5
- Animal Genetics and Reproduction 3
- Co-authors
- Jane C. Moores (5 shared papers)Theodore Friedmann (3 shared papers)Douglas J. Jolly (3 shared papers)Jon A. Wolff (3 shared papers)J K Yee (2 shared papers)Sang Hee Kim (1 shared paper)James E. Sylvester (1 shared paper)Robert H. Podolsky (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Cold Spring Harbor Symposia on Quantitative Biology (1 paper)Journal of Virology (1 paper)Molecular Therapy (1 paper)Gene (1 paper)
- Partner nations
- United States
In The Last Decade
James Respess
10 papers receiving 440 citations
Peers
Comparison fields: 5 of 51
- Genetics 265
- Molecular Biology 393
- Infectious Diseases 37
- Virology 9
- Hepatology 14
Countries citing papers authored by James Respess
This map shows the geographic impact of James Respess'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 Respess with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Respess more than expected).
Fields of papers citing papers by James Respess
This network shows the impact of papers produced by James Respess. 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 Respess. The network helps show where James Respess may publish in the future.
Co-authors
The 25 scholars most cited alongside James Respess, 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 | 1986 | 111 | |
| 2 | 1987 | 108 | |
| 3 | 1986 | 86 | |
| 4 | 1987 | 72 | |
| 5 | 2000 | 57 | |
| 6 | 1987 | 8 | |
| 7 | 1978 | 7 | |
| 8 | 1998 | 4 | |
| 9 | 1986 | 4 | |
| 10 | 1983 | 3 |
About James Respess
James Respess is a scholar working on Molecular Biology, Genetics, Surgery, Virology and Ecology, having authored 10 papers that have together received 460 indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), CRISPR and Genetic Engineering (4 papers), RNA and protein synthesis mechanisms (3 papers), Animal Genetics and Reproduction (3 papers), RNA modifications and cancer (3 papers), Biochemical and Molecular Research (2 papers), RNA Research and Splicing (2 papers) and Eicosanoids and Hypertension Pharmacology (1 paper). The work is most often cited by research in Genetics (265 citations), Molecular Biology (393 citations), Infectious Diseases (37 citations), Virology (9 citations) and Hepatology (14 citations). James Respess has collaborated with scholars based in United States. Frequent co-authors include Jane C. Moores, Theodore Friedmann, Douglas J. Jolly, Jon A. Wolff, J K Yee, Sang Hee Kim, James E. Sylvester, Robert H. Podolsky, Roy D. Schmickel and David Whiteman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cold Spring Harbor Symposia on Quantitative Biology, Journal of Virology, Molecular Therapy and Gene.
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.