F. Ann Ran

44.5k total citations · 9 hit papers
25 papers, 32.3k citations indexed

About

F. Ann Ran is a scholar working on Molecular Biology, Genetics and Business and International Management. According to data from OpenAlex, F. Ann Ran has authored 25 papers receiving a total of 32.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Business and International Management. Recurrent topics in F. Ann Ran's work include CRISPR and Genetic Engineering (19 papers), Advanced biosensing and bioanalysis techniques (6 papers) and RNA and protein synthesis mechanisms (6 papers). F. Ann Ran is often cited by papers focused on CRISPR and Genetic Engineering (19 papers), Advanced biosensing and bioanalysis techniques (6 papers) and RNA and protein synthesis mechanisms (6 papers). F. Ann Ran collaborates with scholars based in United States, Japan and China. F. Ann Ran's co-authors include Feng Zhang, Patrick D. Hsu, David Scott, Vineeta Agarwala, Xuebing Wu, Jason Wright, Luciano A. Marraffini, Le Cong, David Cox and Naomi Habib and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

F. Ann Ran

25 papers receiving 31.8k citations

Hit Papers

5 papers align trajectories

What are hit papers?

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

2013 11.2k citations Le Cong, F. Ann Ran et al. Science profile →
Genome engineering using the CRISPR-Cas9 system

2013 7.9k citations F. Ann Ran, Patrick D. Hsu et al. Nature Protocols profile →
DNA targeting specificity of RNA-guided Cas9 nucleases

2013 3.4k citations Patrick D. Hsu, David A. Scott et al. Nature Biotechnology profile →
Double Nicking by RNA-Guided CRISPR Cas9 for Enhanced Genome Editing Specificity

2013 2.6k citations F. Ann Ran, Patrick D. Hsu et al. Cell profile →
In vivo genome editing using Staphylococcus aureus Cas9

2015 2.0k citations F. Ann Ran, Le Cong et al. profile →
Crystal Structure of Cas9 in Complex with Guide RNA and Target DNA

2014 1.7k citations Hiroshi Nishimasu, F. Ann Ran et al. Cell profile →
In vivo genome editing improves muscle function in a mouse model of Duchenne muscular dystrophy

2015 848 citations Christopher E. Nelson, Chady H. Hakim et al. Science profile →
In vivo gene editing in dystrophic mouse muscle and muscle stem cells

2015 788 citations Mohammadsharif Tabebordbar, Kexian Zhu et al. Science profile →
Crystal Structure of Cas9 in Complex with Guide RNA and Target DNA

2014 693 citations Hiroshi Nishimasu, Naoshi Dohmae et al. DSpace@MIT (Massachusetts Institute of Technology) profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
F. Ann Ran United States	19	29.0k	6.5k	3.0k	2.4k	2.0k	25	32.3k
Patrick D. Hsu United States	26	32.9k 1.1×	6.8k 1.0×	3.6k 1.2×	2.5k 1.1×	2.3k 1.1×	37	36.8k
J. Keith Joung United States	77	33.2k 1.1×	8.3k 1.3×	4.3k 1.5×	3.1k 1.3×	2.1k 1.1×	155	37.3k
Luciano A. Marraffini United States	49	25.4k 0.9×	6.0k 0.9×	2.8k 1.0×	2.1k 0.9×	1.4k 0.7×	88	28.1k
David Scott United States	34	20.7k 0.7×	4.0k 0.6×	2.1k 0.7×	1.6k 0.7×	1.3k 0.6×	53	24.2k
David Cox United States	27	20.5k 0.7×	4.6k 0.7×	2.4k 0.8×	1.7k 0.7×	1.1k 0.6×	81	25.2k
Emmanuelle Charpentier Germany	47	24.5k 0.8×	5.6k 0.8×	3.6k 1.2×	2.3k 1.0×	1.5k 0.8×	94	28.4k
Le Cong United States	34	17.5k 0.6×	4.1k 0.6×	2.1k 0.7×	1.3k 0.5×	1.1k 0.6×	60	20.7k
Xuebing Wu United States	25	18.8k 0.6×	4.4k 0.7×	2.1k 0.7×	1.4k 0.6×	1.3k 0.6×	35	20.7k
Martin Jínek Switzerland	47	23.2k 0.8×	4.2k 0.6×	2.9k 1.0×	2.0k 0.9×	1.5k 0.7×	92	24.8k
Lei S. Qi United States	55	19.9k 0.7×	3.9k 0.6×	1.8k 0.6×	1.3k 0.5×	1.4k 0.7×	186	22.2k

Countries citing papers authored by F. Ann Ran

Since Specialization

Citations

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

Fields of papers citing papers by F. Ann Ran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. Ann Ran. 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 F. Ann Ran. The network helps show where F. Ann Ran may publish in the future.

Co-authorship network of co-authors of F. Ann Ran

This figure shows the co-authorship network connecting the top 25 collaborators of F. Ann Ran. A scholar is included among the top collaborators of F. Ann Ran 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 F. Ann Ran. F. Ann Ran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Chu, S. Haihua, Michael S. Packer, Holly A. Rees, et al.. (2021). Rationally Designed Base Editors for Precise Editing of the Sickle Cell Disease Mutation. The CRISPR Journal. 4(2). 169–177. 55 indexed citations

Yamada, Mari, Jonathan S. Gootenberg, Hisato Hirano, et al.. (2017). Crystal Structure of the Minimal Cas9 from Campylobacter jejuni Reveals the Molecular Diversity in the CRISPR-Cas9 Systems. Molecular Cell. 65(6). 1109–1121.e3. 127 indexed citations

Jain, Ankur, Gulab Zode, Ramesh B. Kasetti, et al.. (2017). CRISPR-Cas9–based treatment of myocilin-associated glaucoma. Proceedings of the National Academy of Sciences. 114(42). 11199–11204. 144 indexed citations

Tabebordbar, Mohammadsharif, Jie Cheng, Wei Leong Chew, et al.. (2016). In vivo gene editing in dystrophic mouse muscle and muscle stem cells. DSpace@MIT (Massachusetts Institute of Technology). 2 indexed citations

Nelson, Christopher E., Chady H. Hakim, David G. Ousterout, et al.. (2016). In vivo genome editing improves muscle function in a mouse model of Duchenne muscular dystrophy. Carolina Digital Repository (University of North Carolina at Chapel Hill). 2 indexed citations

Ran, F. Ann. (2016). Adaptation of CRISPR nucleases for eukaryotic applications. Analytical Biochemistry. 532. 90–94. 9 indexed citations

Tabebordbar, Mohammadsharif, Kexian Zhu, Jason Cheng, et al.. (2015). In vivo gene editing in dystrophic mouse muscle and muscle stem cells. Science. 351(6271). 407–411. 788 indexed citations breakdown →

Nelson, Christopher E., Chady H. Hakim, David G. Ousterout, et al.. (2015). In vivo genome editing improves muscle function in a mouse model of Duchenne muscular dystrophy. Science. 351(6271). 403–407. 848 indexed citations breakdown →

Nishimasu, Hiroshi, Le Cong, Winston X. Yan, et al.. (2015). Crystal Structure of Staphylococcus aureus Cas9. Cell. 162(5). 1113–1126. 335 indexed citations

10.

Huh, Sung Jin, Kendell Clement, David Jee, et al.. (2015). Age- and Pregnancy-Associated DNA Methylation Changes in Mammary Epithelial Cells. Stem Cell Reports. 4(2). 297–311. 44 indexed citations

11.

Nishimasu, Hiroshi, Naoshi Dohmae, Ryuichiro Ishitani, et al.. (2014). Crystal Structure of Cas9 in Complex with Guide RNA and Target DNA. DSpace@MIT (Massachusetts Institute of Technology). 693 indexed citations breakdown →

12.

Eisenhaure, Thomas, F. Ann Ran, Lucas D. Ward, et al.. (2014). Common Genetic Variants Modulate Pathogen-Sensing Responses in Human Dendritic Cells. Science. 343(6175). 1246980–1246980. 15 indexed citations

13.

Nishimasu, Hiroshi, F. Ann Ran, Patrick D. Hsu, et al.. (2014). Crystal Structure of Cas9 in Complex with Guide RNA and Target DNA. Cell. 156(5). 935–949. 1729 indexed citations breakdown →

14.

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 →

15.

Ran, F. Ann, Patrick D. Hsu, Jason Wright, et al.. (2013). Genome engineering using the CRISPR-Cas9 system. Nature Protocols. 8(11). 2281–2308. 7942 indexed citations breakdown →

16.

Ran, F. Ann, Patrick D. Hsu, Jonathan S. Gootenberg, et al.. (2013). Double Nicking by RNA-Guided CRISPR Cas9 for Enhanced Genome Editing Specificity. Cell. 155(2). 479–480. 67 indexed citations

17.

Ran, F. Ann, Patrick D. Hsu, Jonathan S. Gootenberg, et al.. (2013). Double Nicking by RNA-Guided CRISPR Cas9 for Enhanced Genome Editing Specificity. Cell. 154(6). 1380–1389. 2567 indexed citations breakdown →

18.

Hsu, Patrick D., David A. Scott, Joshua A. Weinstein, et al.. (2013). DNA targeting specificity of RNA-guided Cas9 nucleases. Nature Biotechnology. 31(9). 827–832. 3441 indexed citations breakdown →

19.

Rodríguez‐Herva, José J., Estrella Duque, María Antonia Molina‐Henares, et al.. (2009). Physiological and transcriptomic characterization of a fliA mutant of Pseudomonas putida KT2440. Environmental Microbiology Reports. 2(3). 373–380. 29 indexed citations

20.

Kritzer, Joshua A., Reena Zutshi, F. Ann Ran, et al.. (2006). Miniature Protein Inhibitors of the p53–hDM2 Interaction. ChemBioChem. 7(1). 29–31. 75 indexed citations

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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