Darrell Green
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- RNA modifications and cancer 4
- RNA Interference and Gene Delivery 3
- RNA Research and Splicing 3
- RNA and protein synthesis mechanisms 3
- Circular RNAs in diseases 2
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- MicroRNA in disease regulation 4
- Cancer-related molecular mechanisms research 4
- Co-authors
- Tamás Dalmay (12 shared papers)William D. Fraser (10 shared papers)Tracey Chapman (3 shared papers)Claudia Fricke (2 shared papers)Walter Mills (1 shared paper)Irina Mohorianu (3 shared papers)Archana Singh (5 shared papers)Ping Xu (2 shared papers)
- Journals
- RNA Biology (1 paper)Pflügers Archiv - European Journal of Physiology (1 paper)Clinical Science (1 paper)Heredity (1 paper)Genetics (1 paper)
- Partner nations
- United KingdomGermanyItaly
In The Last Decade
Darrell Green
21 papers receiving 348 citations
Peers
Comparison fields: 5 of 85
- Cancer Research 112
- Aging 7
- Physiology 12
- Molecular Biology 167
- Ecology, Evolution, Behavior and Systematics 38
Countries citing papers authored by Darrell Green
This map shows the geographic impact of Darrell 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 Darrell Green with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darrell Green more than expected).
Fields of papers citing papers by Darrell Green
This network shows the impact of papers produced by Darrell 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 Darrell Green. The network helps show where Darrell Green may publish in the future.
Co-authors
The 25 scholars most cited alongside Darrell 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
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 48 | |
| 2 | 2015 | 39 | |
| 3 | 2014 | 37 | |
| 4 | 2013 | 36 | |
| 5 | 2019 | 24 | |
| 6 | 2015 | 22 | |
| 7 | 2015 | 19 | |
| 8 | 2016 | 18 | |
| 9 | 2018 | 16 | |
| 10 | 2021 | 15 | |
| 11 | 2016 | 14 | |
| 12 | 2022 | 12 | |
| 13 | 2019 | 12 | |
| 14 | 2021 | 10 | |
| 15 | 2021 | 9 | |
| 16 | 2020 | 7 | |
| 17 | 2023 | 7 | |
| 18 | 2023 | 5 | |
| 19 | 2017 | 3 | |
| 20 | 2024 | 1 |
About Darrell Green
Darrell Green is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Ecology, Evolution, Behavior and Systematics, having authored 21 papers that have together received 355 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), RNA modifications and cancer (4 papers), Cancer-related molecular mechanisms research (4 papers), RNA Interference and Gene Delivery (3 papers), RNA Research and Splicing (3 papers), RNA and protein synthesis mechanisms (3 papers), Vitamin D Research Studies (3 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Cancer Research (112 citations), Aging (7 citations), Physiology (12 citations), Molecular Biology (167 citations) and Ecology, Evolution, Behavior and Systematics (38 citations). Darrell Green has collaborated with scholars based in United Kingdom, Germany and Italy. Frequent co-authors include Tamás Dalmay, William D. Fraser, Tracey Chapman, Claudia Fricke, Walter Mills, Irina Mohorianu, Archana Singh, Ping Xu, William D. Fraser and Simon Moxon. Their work appears in journals such as RNA Biology, Pflügers Archiv - European Journal of Physiology, Clinical Science, Heredity and 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.