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.
Cpf1 Is a Single RNA-Guided Endonuclease of a Class 2 CRISPR-Cas System
20153.4k citationsBernd Zetsche, Jonathan S. Gootenberg et al.Cellprofile →
Nucleic acid detection with CRISPR-Cas13a/C2c2
20172.7k citationsJonathan S. Gootenberg, Omar O. Abudayyeh et al.Scienceprofile →
Genome-scale transcriptional activation by an engineered CRISPR-Cas9 complex
20142.0k citationsSilvana Konermann, Mark D. Brigham et al.Natureprofile →
Multiplexed and portable nucleic acid detection platform with Cas13, Cas12a, and Csm6
20181.9k citationsJonathan S. Gootenberg, Omar O. Abudayyeh et al.Scienceprofile →
C2c2 is a single-component programmable RNA-guided RNA-targeting CRISPR effector
20161.7k citationsOmar O. Abudayyeh, Jonathan S. Gootenberg et al.Scienceprofile →
RNA targeting with CRISPR–Cas13
20171.5k citationsOmar O. Abudayyeh, Jonathan S. Gootenberg et al.Natureprofile →
RNA editing with CRISPR-Cas13
20171.3k citationsDavid Cox, Jonathan S. Gootenberg et al.Scienceprofile →
Discovery and Functional Characterization of Diverse Class 2 CRISPR-Cas Systems
2015919 citationsSergey Shmakov, Omar O. Abudayyeh et al.Molecular Cellprofile →
Genome-scale CRISPR-Cas9 knockout and transcriptional activation screening
2017795 citationsJulia Joung, Silvana Konermann et al.Nature Protocolsprofile →
A cytosine deaminase for programmable single-base RNA editing
2019332 citationsOmar O. Abudayyeh, Jonathan S. Gootenberg et al.Scienceprofile →
CRISPR technologies for genome, epigenome and transcriptome editing
202499 citationsLukas Villiger, Julia Joung et al.Nature Reviews Molecular Cell Biologyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Julia Joung'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 Julia Joung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Joung more than expected).
This network shows the impact of papers produced by Julia Joung. 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 Julia Joung. The network helps show where Julia Joung may publish in the future.
Co-authorship network of co-authors of Julia Joung
This figure shows the co-authorship network connecting the top 25 collaborators of Julia Joung.
A scholar is included among the top collaborators of Julia Joung 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 Julia Joung. Julia Joung is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Villiger, Lukas, Julia Joung, Luke W. Koblan, et al.. (2024). CRISPR technologies for genome, epigenome and transcriptome editing. Nature Reviews Molecular Cell Biology. 25(6). 464–487.99 indexed citations breakdown →
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 →
Gootenberg, Jonathan S., Omar O. Abudayyeh, Max J. Kellner, et al.. (2018). Multiplexed and portable nucleic acid detection platform with Cas13, Cas12a, and Csm6. Science. 360(6387). 439–444.1879 indexed citations breakdown →
8.
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 →
9.
Gootenberg, Jonathan S., Omar O. Abudayyeh, Jeong Wook Lee, et al.. (2017). Nucleic acid detection with CRISPR-Cas13a/C2c2. PMC.
10.
Gootenberg, Jonathan S., Omar O. Abudayyeh, Jeong Wook Lee, et al.. (2017). Nucleic acid detection with CRISPR-Cas13a/C2c2. Science. 356(6336). 438–442.2678 indexed citations breakdown →
11.
Joung, Julia, Silvana Konermann, Jonathan S. Gootenberg, et al.. (2017). Genome-scale CRISPR-Cas9 knockout and transcriptional activation screening. Nature Protocols. 12(4). 828–863.795 indexed citations breakdown →
12.
Abudayyeh, Omar O., Jonathan S. Gootenberg, Patrick Essletzbichler, et al.. (2017). RNA targeting with CRISPR–Cas13. Nature. 550(7675). 280–284.1490 indexed citations breakdown →
13.
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 →
14.
Konermann, Silvana, Mark D. Brigham, Alexandro E. Trevino, et al.. (2016). Genome-scale transcriptional activation by an engineered CRISPR-Cas9 complex. RePEc: Research Papers in Economics.10 indexed citations
15.
Shmakov, Sergey, Omar O. Abudayyeh, Kira S. Makarova, et al.. (2015). Discovery and Functional Characterization of Diverse Class 2 CRISPR-Cas Systems. Molecular Cell. 60(3). 385–397.919 indexed citations breakdown →
16.
Zetsche, Bernd, Jonathan S. Gootenberg, Omar O. Abudayyeh, et al.. (2015). Cpf1 Is a Single RNA-Guided Endonuclease of a Class 2 CRISPR-Cas System. Cell. 163(3). 759–771.3404 indexed citations breakdown →
Konermann, Silvana, Mark D. Brigham, Alexandro E. Trevino, et al.. (2014). Genome-scale transcriptional activation by an engineered CRISPR-Cas9 complex. Nature. 517(7536). 583–588.2037 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.