AR Green
Impact in
- Toxicology top 5%
- Forensic Toxicology and Drug Analysis
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
Papers in
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- Cannabis and Cannabinoid Research 2
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- Psychedelics and Drug Studies 3
- Co-authors
- James R. Docherty (1 shared paper)Elisabeth P. Nacheva (1 shared paper)Philip J. Cowen (1 shared paper)R. Douglas Sammons (1 shared paper)Sheila Fraser (1 shared paper)C. Glenn Begley (2 shared papers)JK Aronson (2 shared papers)E Nacheva (1 shared paper)
- Journals
- Blood (3 papers)British Journal of Clinical Pharmacology (3 papers)British Journal of Pharmacology (2 papers)Journal of Psychopharmacology (1 paper)Cancer Research (1 paper)
- Partner nations
- United KingdomAustraliaItaly
In The Last Decade
AR Green
11 papers receiving 410 citations
Peers
Comparison fields: 5 of 62
- Toxicology 58
- Biological Psychiatry 36
- Hematology 150
- Endocrine and Autonomic Systems 70
- Genetics 78
Countries citing papers authored by AR Green
This map shows the geographic impact of AR Green'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 AR Green with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites AR Green more than expected).
Fields of papers citing papers by AR Green
This network shows the impact of papers produced by AR Green. 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 AR Green. The network helps show where AR Green may publish in the future.
Co-authors
The 25 scholars most cited alongside AR Green, 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 | 1994 | 84 | |
| 2 | 1983 | 74 | |
| 3 | 1994 | 71 | |
| 4 | 2010 | 68 | |
| 5 | 1995 | 66 | |
| 6 | 1980 | 43 | |
| 7 | Constitutive expression of the putative transcription factor SCL associated with proviral insertion in the myeloid leukemic cell line WEHI-3BD-. | 1994 | 13 |
| 8 | 1980 | 5 | |
| 9 | 2012 | 4 | |
| 10 | 2011 | 4 | |
| 11 | 2009 | 2 |
About AR Green
AR Green is a scholar working on Pharmacology, Clinical Psychology, Toxicology, Molecular Biology and Pathology and Forensic Medicine, having authored 11 papers that have together received 434 indexed citations. Recurring topics across this work include Psychedelics and Drug Studies (3 papers), Forensic Toxicology and Drug Analysis (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Bipolar Disorder and Treatment (2 papers), Acute Myeloid Leukemia Research (2 papers), Genomics and Chromatin Dynamics (2 papers), Tryptophan and brain disorders (2 papers) and Cannabis and Cannabinoid Research (2 papers). The work is most often cited by research in Toxicology (58 citations), Biological Psychiatry (36 citations), Hematology (150 citations), Endocrine and Autonomic Systems (70 citations) and Genetics (78 citations). AR Green has collaborated with scholars based in United Kingdom, Australia and Italy. Frequent co-authors include James R. Docherty, Elisabeth P. Nacheva, Philip J. Cowen, R. Douglas Sammons, Sheila Fraser, C. Glenn Begley, JK Aronson, E Nacheva, David Bloxham and HF Woods. Their work appears in journals such as Blood, British Journal of Clinical Pharmacology, British Journal of Pharmacology, Journal of Psychopharmacology and Cancer Research.
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.