John Aach

27.2k total citations · 6 hit papers
38 papers, 15.5k citations indexed

About

John Aach is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, John Aach has authored 38 papers receiving a total of 15.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 10 papers in Genetics and 2 papers in Biomedical Engineering. Recurrent topics in John Aach's work include CRISPR and Genetic Engineering (17 papers), RNA and protein synthesis mechanisms (8 papers) and Gene expression and cancer classification (8 papers). John Aach is often cited by papers focused on CRISPR and Genetic Engineering (17 papers), RNA and protein synthesis mechanisms (8 papers) and Gene expression and cancer classification (8 papers). John Aach collaborates with scholars based in United States, France and United Kingdom. John Aach's co-authors include George M. Church, Prashant Mali, James J. DiCarlo, Julie E. Norville, Kevin M. Esvelt, Marc Güell, Luhan Yang, Xavier Rios, Luhan Yang and Sriram Kosuri and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

John Aach

38 papers receiving 15.2k citations

Hit Papers

RNA-Guided Human Genome Engineering via Cas9 2013 2026 2017 2021 2013 2013 2013 2015 2014 2.0k 4.0k 6.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Aach United States 32 14.0k 2.9k 1.4k 963 855 38 15.5k
Luke A. Gilbert United States 38 16.2k 1.2× 2.8k 1.0× 1.3k 0.9× 1.2k 1.2× 941 1.1× 68 18.0k
Xuebing Wu United States 25 18.8k 1.3× 4.4k 1.5× 2.1k 1.5× 1.3k 1.3× 1.4k 1.6× 35 20.7k
Lei S. Qi United States 55 19.9k 1.4× 3.9k 1.4× 1.8k 1.3× 1.4k 1.4× 1.3k 1.5× 186 22.2k
Le Cong United States 34 17.5k 1.3× 4.1k 1.4× 2.1k 1.5× 1.1k 1.1× 1.3k 1.5× 60 20.7k
Kevin M. Esvelt United States 25 12.3k 0.9× 3.0k 1.0× 1.6k 1.1× 1.1k 1.1× 985 1.2× 50 13.7k
Marc Güell Spain 20 8.8k 0.6× 2.3k 0.8× 981 0.7× 591 0.6× 586 0.7× 37 10.5k
Vineeta Agarwala United States 10 10.0k 0.7× 2.2k 0.8× 896 0.6× 615 0.6× 492 0.6× 18 12.0k
David Scott United States 34 20.7k 1.5× 4.0k 1.4× 2.1k 1.5× 1.3k 1.3× 1.6k 1.9× 53 24.2k
F. Ann Ran United States 19 29.0k 2.1× 6.5k 2.3× 3.0k 2.1× 2.0k 2.1× 2.4k 2.8× 25 32.3k
John G. Doench United States 51 15.7k 1.1× 2.1k 0.7× 1.0k 0.7× 719 0.7× 488 0.6× 145 20.0k

Countries citing papers authored by John Aach

Since Specialization
Citations

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

Fields of papers citing papers by John Aach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Aach

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

All Works

20 of 20 papers shown
1.
Kohman, Richie E., Jeantine E. Lunshof, Bruna Paulsen, et al.. (2021). Minibrains: What's in a Name?. American Scientist. 109(4). 208–208. 1 indexed citations
2.
Filsinger, Gabriel, Timothy M. Wannier, Julie Zhang, et al.. (2021). Characterizing the portability of phage-encoded homologous recombination proteins. Nature Chemical Biology. 17(4). 394–402. 40 indexed citations
3.
Aach, John, Jeantine E. Lunshof, Eswar Prasad R. Iyer, & George M. Church. (2017). Addressing the ethical issues raised by synthetic human entities with embryo-like features. eLife. 6. 83 indexed citations
4.
Kuznetsov, Gleb, Daniel B. Goodman, Gabriel Filsinger, et al.. (2017). Optimizing complex phenotypes through model-guided multiplex genome engineering. Genome biology. 18(1). 100–100. 23 indexed citations
5.
Yang, Luhan, Adrian W. Briggs, Wei Leong Chew, et al.. (2016). Engineering and optimising deaminase fusions for genome editing. Nature Communications. 7(1). 13330–13330. 61 indexed citations
6.
Lee, Je Hyuk, Evan R Daugharthy, Jonathan Scheiman, et al.. (2014). Highly Multiplexed Subcellular RNA Sequencing in Situ. Science. 343(6177). 1360–1363. 693 indexed citations breakdown →
7.
Mali, Prashant, Luhan Yang, Kevin M. Esvelt, et al.. (2013). RNA-Guided Human Genome Engineering via Cas9. Science. 339(6121). 823–826. 6968 indexed citations breakdown →
8.
Mali, Prashant, John Aach, P. Benjamin Stranges, et al.. (2013). CAS9 transcriptional activators for target specificity screening and paired nickases for cooperative genome engineering. Nature Biotechnology. 31(9). 833–838. 1379 indexed citations breakdown →
9.
Mali, Prashant, et al.. (2013). Barcoding cells using cell-surface programmable DNA-binding domains. Nature Methods. 10(5). 403–406. 39 indexed citations
10.
Li, Jin Billy, Erez Y. Levanon, Jung-Ki Yoon, et al.. (2009). Genome-Wide Identification of Human RNA Editing Sites by Parallel DNA Capturing and Sequencing. Science. 324(5931). 1210–1213. 434 indexed citations
11.
Li, Jin Billy, Yuan Gao, John Aach, et al.. (2009). Multiplex padlock targeted sequencing reveals human hypermutable CpG variations. Genome Research. 19(9). 1606–1615. 51 indexed citations
12.
Zhang, Kun, Jin Billy Li, Yuan Gao, et al.. (2009). Digital RNA allelotyping reveals tissue-specific and allele-specific gene expression in human. Nature Methods. 6(8). 613–618. 122 indexed citations
13.
Bakal, Chris, John Aach, George M. Church, & Norbert Perrimon. (2007). Quantitative Morphological Signatures Define Local Signaling Networks Regulating Cell Morphology. Science. 316(5832). 1753–1756. 233 indexed citations
14.
Zhang, Kun, Jun Zhu, Jay Shendure, et al.. (2006). Long-range polony haplotyping of individual human chromosome molecules. Nature Genetics. 38(3). 382–387. 58 indexed citations
15.
Aach, John & George M. Church. (2004). Mathematical models of diffusion-constrained polymerase chain reactions: basis of high-throughput nucleic acid assays and simple self-organizing systems. Journal of Theoretical Biology. 228(1). 31–46. 12 indexed citations
16.
Grad, Yonatan H., John Aach, Gabriel D. Hayes, et al.. (2003). Computational and Experimental Identification of C. elegans microRNAs. Molecular Cell. 11(5). 1253–1263. 238 indexed citations
17.
Dudley, Aimée M., John Aach, Martín Steffen, & George M. Church. (2002). Measuring absolute expression with microarrays with a calibrated reference sample and an extended signal intensity range. Proceedings of the National Academy of Sciences. 99(11). 7554–7559. 190 indexed citations
18.
Steffen, Martín, Allegra A. Petti, John Aach, Patrik D’haeseleer, & George M. Church. (2002). Automated modelling of signal transduction networks. BMC Bioinformatics. 3(1). 34–34. 165 indexed citations
19.
Aach, John, Martha L. Bulyk, George M. Church, et al.. (2001). Computational comparison of two draft sequences of the human genome. Nature. 409(6822). 856–859. 40 indexed citations
20.
Aach, John, Wayne P. Rindone, & George M. Church. (2000). Systematic Management and Analysis of Yeast Gene Expression Data. Genome Research. 10(4). 431–445. 90 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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