J. Greg Murison
Impact in
- Oncology top 10%
- HER2/EGFR in Cancer Research
- Chemokine receptors and signaling
- Immunology and Allergy top 10%
Papers in
-
- Ubiquitin and proteasome pathways 2
- RNA Interference and Gene Delivery 2
- Wnt/β-catenin signaling in development and cancer 2
- Oncology 6
- CAR-T cell therapy research 2
- Co-authors
- Matthew A. Sleeman (4 shared papers)Krishnanand D. Kumble (4 shared papers)James D. Watson (2 shared papers)Ross L. Prestidge (2 shared papers)Megan C. McDonald (1 shared paper)Prudence M. Grandison (1 shared paper)James Watson (1 shared paper)Craig R. Homer (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Clinical & Experimental Immunology (1 paper)Gene (1 paper)International Immunology (1 paper)Current Biology (1 paper)
- Partner nations
- United KingdomNew ZealandUnited States
In The Last Decade
J. Greg Murison
11 papers receiving 686 citations
Peers
Comparison fields: 5 of 74
- Oncology 208
- Immunology and Allergy 38
- Molecular Biology 434
- Cancer Research 82
- Immunology 112
Countries citing papers authored by J. Greg Murison
This map shows the geographic impact of J. Greg Murison'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 J. Greg Murison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Greg Murison more than expected).
Fields of papers citing papers by J. Greg Murison
This network shows the impact of papers produced by J. Greg Murison. 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 J. Greg Murison. The network helps show where J. Greg Murison may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Greg Murison, 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 | 2001 | 223 | |
| 2 | 2001 | 135 | |
| 3 | 2000 | 95 | |
| 4 | 2003 | 95 | |
| 5 | 2002 | 86 | |
| 6 | 2000 | 22 | |
| 7 | 1993 | 15 | |
| 8 | 2000 | 13 | |
| 9 | 2009 | 9 | |
| 10 | 1991 | 4 | |
| 11 | Human alpha beta T-cell receptor CD4-CD8 T-cell clones are predominantly Th0-like. | 1995 | 4 |
About J. Greg Murison
J. Greg Murison is a scholar working on Molecular Biology, Oncology, Immunology, Cell Biology and Genetics, having authored 11 papers that have together received 701 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Ubiquitin and proteasome pathways (2 papers), RNA Interference and Gene Delivery (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Immune Cell Function and Interaction (2 papers), CAR-T cell therapy research (2 papers), Immunotherapy and Immune Responses (1 paper) and Hair Growth and Disorders (1 paper). The work is most often cited by research in Oncology (208 citations), Immunology and Allergy (38 citations), Molecular Biology (434 citations), Cancer Research (82 citations) and Immunology (112 citations). J. Greg Murison has collaborated with scholars based in United Kingdom, New Zealand and United States. Frequent co-authors include Matthew A. Sleeman, Krishnanand D. Kumble, James D. Watson, Ross L. Prestidge, Megan C. McDonald, Prudence M. Grandison, James D. Watson, James Watson, Craig R. Homer and David J. Palmer. Their work appears in journals such as Journal of Biological Chemistry, Clinical & Experimental Immunology, Gene, International Immunology and Current 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.