David Cox

36.8k citations
81 papers · 25.2k indexed · 12 hit papers · h-index 27

David Cox

66 papers receiving 24.6k citations

Hit Papers

A cytosine d...33219842026199820122.5k5.0k7.5k10.0k

Peers

David Cox
Comparison fields: 5 of 186
  • Business and International Management 1.7k
  • Aging 1.1k
  • Molecular Biology 20.5k
  • Genetics 4.6k
  • Insect Science 1.4k
Replace Jin‐Soo Kim with:
Jin‐Soo Kim South Korea
David Scott United States
Martin J. Aryee United States
F. Ann Ran United States
Patrick D. Hsu United States
J. Keith Joung United States
Le Cong United States
Xuebing Wu United States
Naomi Habib United States
Luciano A. Marraffini United States
David Cox relative to Jin‐Soo Kim South Korea Jin‐Soo Kim's profile →
Citations per field
00.5×1.5×
Jin‐Soo Kim · 1×
Citations per year

Countries citing papers authored by David Cox

Since Specialization
Citations

This map shows the geographic impact of David Cox'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 David Cox with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Cox more than expected).

Fields of papers citing papers by David Cox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Cox. 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 David Cox. The network helps show where David Cox may publish in the future.

Co-authorship network

The 25 scholars most cited alongside David Cox, 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 David Cox Line = papers co-authored together David Cox links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20240
3 20241
4 20230
5 20230
6 20211
7
A cytosine deaminase for programmable single-base RNA editingbreakdown →
2019332
8
RNA editing with CRISPR-Cas13breakdown →
20171291
9
Engineered Cpf1 variants with altered PAM specificities
20171
10
Cas13b Is a Type VI-B CRISPR-Associated RNA-Guided RNase Differentially Regulated by Accessory Proteins Csx27 and Csx28breakdown →
2017434
11
C2c2 is a single-component programmable RNA-guided RNA-targeting CRISPR effectorbreakdown →
20161689
12
CRISPR/Cas9 cleavage of viral DNA efficiently suppresses hepatitis B virus
20157
13
Multiplex Genome Engineering Using CRISPR/Cas Systemsbreakdown →
201311236
14
Mental health. End of the line for outpatient clinics.
20131
15 201310
16 20115
17
Genetic variation in PNPLA3 confers susceptibility to nonalcoholic fatty liver diseasebreakdown →
20082456
18 200514
19 199939
20 1965237

About David Cox

David Cox is a scholar working on Business and International Management, Genetics and Molecular Biology, having authored 81 papers that have together received 25.2k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (16 papers), RNA and protein synthesis mechanisms (8 papers), Advanced biosensing and bioanalysis techniques (6 papers), Canadian Policy and Governance (4 papers), Genomic variations and chromosomal abnormalities (4 papers), Diagnosis and Treatment of Venous Diseases (4 papers), Genomics and Chromatin Dynamics (3 papers) and RNA regulation and disease (3 papers). The work is most often cited by research in Business and International Management (1.7k citations), Aging (1.1k citations) and Molecular Biology (20.5k citations). David Cox has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Feng Zhang, Wenyan Jiang, Luciano A. Marraffini, Naomi Habib, Patrick D. Hsu, Xuebing Wu, Le Cong, F. Ann Ran, Robert P. J. Barretto and Jonathan S. Gootenberg. Their work appears in journals such as Science, Nature, Genome Research, Cancer and Nature Biotechnology.

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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