Aaron Cheng

11 papers receiving 2.5k citations

Hit Papers

RNA-programmed genome editing in human cells 2013 · 1.6k citations
1.6k201320262017202150010001.5k

Peers

Aaron Cheng
Comparison fields: 5 of 104
  • Business and International Management 196
  • Aging 149
  • Molecular Biology 2.0k
  • Cell Biology 392
  • Infectious Diseases 409
Replace Gavin J. Knott with:
Gavin J. Knott United States
Marie La Russa United States
Atze T. Das Netherlands
Matthias C. Truttmann United States
Jeremy M. Rock United States
Sy Redding United States
Soraya I. Shehata United States
Andreas S. Puschnik United States
Rhiannon K. Macrae United States
Amy S.Y. Lee United States
Aaron Cheng relative to Gavin J. Knott United States Gavin J. Knott's profile →
Citations per field
00.5×10.3×
Gavin J. Knott · 1×
Citations per year

Countries citing papers authored by Aaron Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Aaron Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1
RNA-programmed genome editing in human cells
Hit paper breakdown →
20131618
2 2007335
3 2011186
4 2014170
5 2009107
6 2009103
7 201845
8 202010
9 20216
10 20196
11 20242
12 20250

About Aaron Cheng

Aaron Cheng is a scholar working on Cell Biology, Immunology and Allergy, Infectious Diseases, Molecular Biology and Animal Science and Zoology, having authored 12 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cellular transport and secretion (4 papers), CRISPR and Genetic Engineering (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Retinal Development and Disorders (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), interferon and immune responses (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Business and International Management (196 citations), Aging (149 citations), Molecular Biology (2.0k citations), Cell Biology (392 citations) and Infectious Diseases (409 citations). Aaron Cheng has collaborated with scholars based in United States, United Kingdom and Poland. Frequent co-authors include Martin Jínek, Enbo Ma, Alexandra East, Jennifer A. Doudna, Steven Lin, David G. Drubin, Sherif R. Zaki, Kanta Subbarao, Boyd L. Yount and Mark T. Heise. Their work appears in journals such as The Journal of Cell Biology, Molecular Biology of the Cell, PLoS Pathogens, SLAS DISCOVERY and The CRISPR Journal.

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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