G E Mark
Impact in
- Virology top 5%
- HIV Research and Treatment
- Molecular Biology top 5%
- Protein Kinase Regulation and GTPase Signaling
- Melanoma and MAPK Pathways
- RNA Interference and Gene Delivery
Papers in
-
- Ubiquitin and proteasome pathways 4
- Viral Infectious Diseases and Gene Expression in Insects 4
- RNA and protein synthesis mechanisms 4
- Oncology 8
- Cancer-related Molecular Pathways 3
- Co-authors
- Ulf R. Rapp (3 shared papers)Tom I. Bonner (3 shared papers)Fred H. Reynolds (1 shared paper)M D Goldsborough (1 shared paper)John Stephenson (1 shared paper)John Groffen (1 shared paper)J L Sabran (3 shared papers)T W Hsu (3 shared papers)
- Journals
- Journal of Virology (7 papers)Proceedings of the National Academy of Sciences (5 papers)Molecular and Cellular Biology (3 papers)The Journal of Immunology (2 papers)Cold Spring Harbor Symposia on Quantitative Biology (1 paper)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
G E Mark
37 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 98
- Virology 175
- Molecular Biology 1.4k
- Immunology 310
- Animal Science and Zoology 143
- Oncology 345
Countries citing papers authored by G E Mark
This map shows the geographic impact of G E Mark'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 G E Mark with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G E Mark more than expected).
Fields of papers citing papers by G E Mark
This network shows the impact of papers produced by G E Mark. 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 G E Mark. The network helps show where G E Mark may publish in the future.
Co-authors
The 25 scholars most cited alongside G E Mark, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1983 | 418 | |
| 2 | Activation of the c-Raf protein kinase by protein kinase C phosphorylation. | 1992 | 273 |
| 3 | 1978 | 202 | |
| 4 | 1985 | 169 | |
| 5 | 1987 | 138 | |
| 6 | 1996 | 116 | |
| 7 | 1991 | 67 | |
| 8 | 1988 | 64 | |
| 9 | 1987 | 62 | |
| 10 | 1984 | 61 | |
| 11 | 1989 | 55 | |
| 12 | 1996 | 54 | |
| 13 | 1989 | 53 | |
| 14 | 1994 | 49 | |
| 15 | 1997 | 45 | |
| 16 | 1986 | 44 | |
| 17 | 1989 | 44 | |
| 18 | 1995 | 36 | |
| 19 | 1986 | 30 | |
| 20 | 1994 | 29 |
About G E Mark
G E Mark is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Genetics and Epidemiology, having authored 37 papers that have together received 2.2k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (8 papers), Virus-based gene therapy research (6 papers), Animal Virus Infections Studies (5 papers), Ubiquitin and proteasome pathways (4 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), RNA and protein synthesis mechanisms (4 papers), HIV Research and Treatment (4 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Virology (175 citations), Molecular Biology (1.4k citations), Immunology (310 citations), Animal Science and Zoology (143 citations) and Oncology (345 citations). G E Mark has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Ulf R. Rapp, Tom I. Bonner, Fred H. Reynolds, M D Goldsborough, John Stephenson, John Groffen, J L Sabran, T W Hsu, John M. Taylor and R V Guntaka. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, Molecular and Cellular Biology, The Journal of Immunology and Cold Spring Harbor Symposia on Quantitative Biology.
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.