Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Multiplex Genome Engineering Using CRISPR/Cas Systems
201311.2k citationsLe Cong, F. Ann Ran et al.Scienceprofile →
Genetic variation in PNPLA3 confers susceptibility to nonalcoholic fatty liver disease
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).
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 of co-authors of David Cox
This figure shows the co-authorship network connecting the top 25 collaborators of David Cox.
A scholar is included among the top collaborators of David Cox based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with David Cox. David Cox is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Abudayyeh, Omar O., Jonathan S. Gootenberg, Jeremy Koob, et al.. (2019). A cytosine deaminase for programmable single-base RNA editing. Science. 365(6451). 382–386.332 indexed citations breakdown →
6.
Cox, David, Jonathan S. Gootenberg, Omar O. Abudayyeh, et al.. (2017). RNA editing with CRISPR-Cas13. Science. 358(6366). 1019–1027.1291 indexed citations breakdown →
7.
Gao, Linyi, David Cox, Winston X. Yan, et al.. (2017). Engineered Cpf1 variants with altered PAM specificities. PMC.1 indexed citations
Abudayyeh, Omar O., Jonathan S. Gootenberg, Silvana Konermann, et al.. (2016). C2c2 is a single-component programmable RNA-guided RNA-targeting CRISPR effector. Science. 353(6299). aaf5573–aaf5573.1689 indexed citations breakdown →
10.
Shlomai, Amir, Eleftherios Michailidis, Ankit Bhatta, et al.. (2015). CRISPR/Cas9 cleavage of viral DNA efficiently suppresses hepatitis B virus. Nature.7 indexed citations
11.
Amanatidou, Effie, Diana Gagliardi, & David Cox. (2014). An enquiry into the concept of social innovation: new theoretical and policy insights from recent developments. Research Explorer (The University of Manchester).1 indexed citations
12.
Cong, Le, F. Ann Ran, David Cox, et al.. (2013). Multiplex Genome Engineering Using CRISPR/Cas Systems. Science. 339(6121). 819–823.11236 indexed citations breakdown →
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.