Darrell Green

863 citations
27 papers · 617 · h-index 14

Impact in

Papers in

    • Cancer-related molecular mechanisms research 6
    • MicroRNA in disease regulation 6
    • RNA modifications and cancer 5
    • Circular RNAs in diseases 3
    • RNA Interference and Gene Delivery 3
    • RNA Research and Splicing 3

Darrell Green

27 papers receiving 609 citations

Peers

Darrell Green
Comparison fields: 5 of 90
  • Cancer Research 153
  • Aquatic Science 38
  • Aging 8
  • Physiology 20
  • Immunology 84
Replace Julian Gutekunst with:
Julian Gutekunst Germany
Jizhou Yan China
Mingjun Fan China
Kathryn J. Brayer United States
John Letaw United States
Yuanyan Xiong China
Fang-Zhen Sun China
Naoyuki Sakai Japan
Fei Ma China
Shouwen Jiang China
Darrell Green relative to Julian Gutekunst Germany Julian Gutekunst's profile →
Citations per field
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Julian Gutekunst · 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 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016170
2 201649
3 201542
4 201436
5 201334
6 202034
7 201527
8 201926
9 201522
10 202118
11 201618
12 201816
13 201615
14 202214
15 201913
16 202511
17 202411
18 202110
19 202310
20
Coexistent CYP24A1 and PHEX Gene Mutations With Hypervitaminosis D Plus Hypercalcemia Treated With Fluconazole
20219

About Darrell Green

Darrell Green is a scholar working on Cancer Research, Molecular Biology, Oncology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 27 papers that have together received 617 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (6 papers), RNA modifications and cancer (5 papers), Sarcoma Diagnosis and Treatment (3 papers), Circular RNAs in diseases (3 papers), Vitamin D Research Studies (3 papers), RNA Interference and Gene Delivery (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Cancer Research (153 citations), Aquatic Science (38 citations), Aging (8 citations), Physiology (20 citations) and Immunology (84 citations). Darrell Green has collaborated with scholars based in United Kingdom, Germany and Italy. Frequent co-authors include Tamás Dalmay, William Duncan Fraser, Tracey Chapman, Claudia Fricke, Walter E. Mills, Irina Mohorianu, Archana Singh, Ping Xu, William Donald Fraser and Simon Moxon. Their work appears in journals such as Genetics, Pflügers Archiv - European Journal of Physiology, Heredity, RNA Biology and Briefings in Bioinformatics.

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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