Robert Cafferkey
Impact in
- Aging top 10%
- Molecular Biology top 10%
- Signaling Pathways in Disease
- PI3K/AKT/mTOR signaling in cancer
- Fungal and yeast genetics research
- Protein Kinase Regulation and GTPase Signaling
- Polyamine Metabolism and Applications
Papers in
-
- Signaling Pathways in Disease 9
- Fungal and yeast genetics research 4
- Insect Resistance and Genetics 3
- RNA and protein synthesis mechanisms 3
- Viral Infectious Diseases and Gene Expression in Insects 2
- DNA Repair Mechanisms 1
- Oncology 8
- Peptidase Inhibition and Analysis 8
- Co-authors
- Randall K. Johnson (9 shared papers)Leo F. Faucette (6 shared papers)Y. Koltin (5 shared papers)Megan M. McLaughlin (8 shared papers)George P. Livi (8 shared papers)Derk J. Bergsma (5 shared papers)Peter R. Young (4 shared papers)G P Livi (3 shared papers)
- Journals
- Gene (6 papers)Molecular and Cellular Biology (4 papers)Genetics (1 paper)Journal of Biological Chemistry (1 paper)Nature Genetics (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Robert Cafferkey
16 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 65
- Aging 36
- Molecular Biology 1.1k
- Oncology 261
- Immunology 204
- Cell Biology 103
Countries citing papers authored by Robert Cafferkey
This map shows the geographic impact of Robert Cafferkey'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 Robert Cafferkey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Cafferkey more than expected).
Fields of papers citing papers by Robert Cafferkey
This network shows the impact of papers produced by Robert Cafferkey. 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 Robert Cafferkey. The network helps show where Robert Cafferkey may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Cafferkey, 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 | 1993 | 239 | |
| 2 | 1991 | 196 | |
| 3 | 1993 | 172 | |
| 4 | 1991 | 148 | |
| 5 | 1994 | 126 | |
| 6 | 1994 | 76 | |
| 7 | 1994 | 49 | |
| 8 | 1989 | 39 | |
| 9 | 1991 | 37 | |
| 10 | 1992 | 35 | |
| 11 | 1991 | 33 | |
| 12 | 1993 | 31 | |
| 13 | 1992 | 27 | |
| 14 | 1986 | 15 | |
| 15 | 1988 | 12 | |
| 16 | 2001 | 7 |
About Robert Cafferkey
Robert Cafferkey is a scholar working on Molecular Biology, Oncology, Immunology, Genetics and Biotechnology, having authored 16 papers that have together received 1.2k indexed citations. Recurring topics across this work include Signaling Pathways in Disease (9 papers), Peptidase Inhibition and Analysis (8 papers), Toxin Mechanisms and Immunotoxins (7 papers), Fungal and yeast genetics research (4 papers), Insect Resistance and Genetics (3 papers), RNA and protein synthesis mechanisms (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Aging (36 citations), Molecular Biology (1.1k citations), Oncology (261 citations), Immunology (204 citations) and Cell Biology (103 citations). Robert Cafferkey has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Randall K. Johnson, Leo F. Faucette, Y. Koltin, Megan M. McLaughlin, George P. Livi, Derk J. Bergsma, Peter R. Young, G P Livi, Wai-Kwong Eng and Paul L. Koser. Their work appears in journals such as Gene, Molecular and Cellular Biology, Genetics, Journal of Biological Chemistry and Nature Genetics.
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.