Darrell Green

816 citations
21 papers · 331 · h-index 12

Impact in

Papers in

    • RNA modifications and cancer 4
    • RNA Research and Splicing 3
    • RNA and protein synthesis mechanisms 3
    • RNA Interference and Gene Delivery 3
    • Circular RNAs in diseases 2
    • MicroRNA in disease regulation 5
    • Cancer-related molecular mechanisms research 5

Darrell Green

20 papers receiving 324 citations

Peers

Darrell Green
Comparison fields: 5 of 83
  • Cancer Research 121
  • Aging 7
  • Physiology 13
  • Molecular Biology 174
  • Ecology, Evolution, Behavior and Systematics 39
Replace Ashley Kuenzi Davis with:
Ashley Kuenzi Davis United States
Tangliang Li China
Maria Ekman Sweden
Mario Torrado Spain
Naoyuki Sakai Japan
Gary F. Gerlach United States
Onur Yukselen United States
Sienna H. Margan Australia
M. Joaquina Delás United Kingdom
Sayed Obaidullah Aseem United States
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Citations per field
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Ashley Kuenzi Davis · 1×
Citations per year

Countries citing papers authored by Darrell Green

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Darrell Green Line = papers co-authored together Darrell Green links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201646
2 201335
3 201434
4 201533
5 201522
6 201921
7 201519
8 201618
9 201815
10 202115
11 201614
12 202211
13 20199
14 20219
15 20218
16 20237
17 20207
18 20234
19 20173
20 20241

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 331 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (5 papers), RNA modifications and cancer (4 papers), Vitamin D Research Studies (3 papers), RNA Research and Splicing (3 papers), RNA and protein synthesis mechanisms (3 papers), RNA Interference and Gene Delivery (3 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Cancer Research (121 citations), Aging (7 citations), Physiology (13 citations), Molecular Biology (174 citations) and Ecology, Evolution, Behavior and Systematics (39 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, Ping Xu, Irina Mohorianu, Archana Singh, William D. Fraser and Simon Moxon. Their work appears in journals such as Proceedings of the Royal Society B Biological Sciences, Heredity, Journal of Bone and Mineral Research, RNA Biology and Clinical Science.

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.

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