Ahmad S. Khalil

8.7k total citations · 3 hit papers
67 papers, 5.6k citations indexed

About

Ahmad S. Khalil is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, Ahmad S. Khalil has authored 67 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 12 papers in Genetics and 12 papers in Biomedical Engineering. Recurrent topics in Ahmad S. Khalil's work include CRISPR and Genetic Engineering (19 papers), Gene Regulatory Network Analysis (17 papers) and Viral Infectious Diseases and Gene Expression in Insects (6 papers). Ahmad S. Khalil is often cited by papers focused on CRISPR and Genetic Engineering (19 papers), Gene Regulatory Network Analysis (17 papers) and Viral Infectious Diseases and Gene Expression in Insects (6 papers). Ahmad S. Khalil collaborates with scholars based in United States, Egypt and United Kingdom. Ahmad S. Khalil's co-authors include James J. Collins, Timothy K. Lu, Kyle R. Allison, Caleb J. Bashor, Michael A. Lobritz, Peter Belenky, Daniel J. Dwyer, Jason H. Yang, Szilvia Kiriakov and Nic M. Vega and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Ahmad S. Khalil

63 papers receiving 5.5k citations

Hit Papers

Synthetic biology: applic... 2010 2026 2015 2020 2010 2014 2015 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ahmad S. Khalil United States 33 3.9k 983 864 582 346 67 5.6k
Matteo Dal Peraro Switzerland 43 3.5k 0.9× 635 0.6× 585 0.7× 369 0.6× 376 1.1× 139 5.6k
Han Remaut Belgium 39 2.7k 0.7× 1.1k 1.1× 289 0.3× 388 0.7× 674 1.9× 93 4.6k
Bert van den Berg United Kingdom 40 3.8k 1.0× 1.9k 1.9× 534 0.6× 846 1.5× 701 2.0× 82 5.6k
Roman Jerala Slovenia 51 5.3k 1.4× 460 0.5× 358 0.4× 276 0.5× 464 1.3× 247 9.4k
Min Yao Japan 41 3.5k 0.9× 785 0.8× 495 0.6× 167 0.3× 408 1.2× 232 5.5k
Pei Zhou United States 50 4.3k 1.1× 712 0.7× 214 0.2× 565 1.0× 247 0.7× 217 6.5k
Eugene C. Yi United States 48 5.6k 1.4× 697 0.7× 248 0.3× 340 0.6× 315 0.9× 129 10.3k
Stephan A. Sieber Germany 50 4.9k 1.3× 479 0.5× 363 0.4× 315 0.5× 211 0.6× 236 7.8k
Punit Kaur India 35 2.7k 0.7× 826 0.8× 325 0.4× 221 0.4× 100 0.3× 244 5.5k
Stuart J. Cordwell Australia 49 4.0k 1.0× 650 0.7× 238 0.3× 331 0.6× 795 2.3× 137 6.7k

Countries citing papers authored by Ahmad S. Khalil

Since Specialization
Citations

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

Fields of papers citing papers by Ahmad S. Khalil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ahmad S. Khalil. 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 Ahmad S. Khalil. The network helps show where Ahmad S. Khalil may publish in the future.

Co-authorship network of co-authors of Ahmad S. Khalil

This figure shows the co-authorship network connecting the top 25 collaborators of Ahmad S. Khalil. A scholar is included among the top collaborators of Ahmad S. Khalil 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 Ahmad S. Khalil. Ahmad S. Khalil 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.
Tong, Kai, Thomas C. Day, Ahmad S. Khalil, et al.. (2025). Genome duplication in a long-term multicellularity evolution experiment. Nature. 639(8055). 691–699. 2 indexed citations
2.
Taxiarchi, Chrysanthi, Marco Galardini, Roxana L. Minuz, et al.. (2024). Anti-CRISPR Anopheles mosquitoes inhibit gene drive spread under challenging behavioural conditions in large cages. Nature Communications. 15(1). 952–952. 12 indexed citations
3.
Bertozzi, Tessa M., John W. Harvey, Pamela P. Brauer, et al.. (2024). Brainwide silencing of prion protein by AAV-mediated delivery of an engineered compact epigenetic editor. Science. 384(6703). ado7082–ado7082. 38 indexed citations
4.
Khalil, Ahmad S., et al.. (2023). Human herpesvirus 8 ORF57 protein is able to reduce TDP-43 pathology: network analysis identifies interacting pathways. Human Molecular Genetics. 32(20). 2966–2980. 1 indexed citations
5.
Ching, Carly, et al.. (2023). Effects of antibiotic interaction on antimicrobial resistance development in wastewater. Scientific Reports. 13(1). 7801–7801. 13 indexed citations
6.
Shaw, W. M., Ahmad S. Khalil, & Tom Ellis. (2023). A Multiplex MoClo Toolkit for Extensive and Flexible Engineering of Saccharomyces cerevisiae. ACS Synthetic Biology. 12(11). 3393–3405. 21 indexed citations
7.
Shaw, W. M., Yunfeng Zhang, Ahmad S. Khalil, et al.. (2022). Screening microbially produced Δ9-tetrahydrocannabinol using a yeast biosensor workflow. Nature Communications. 13(1). 5509–5509. 15 indexed citations
8.
Li, Hui-Shan, Divya V. Israni, Keith A. Gagnon, et al.. (2022). Multidimensional control of therapeutic human cell function with synthetic gene circuits. Science. 378(6625). 1227–1234. 90 indexed citations
9.
Li, Hui-Shan, et al.. (2022). High-performance multiplex drug-gated CAR circuits. Cancer Cell. 40(11). 1294–1305.e4. 69 indexed citations
10.
Sun, Qing, Nic M. Vega, Bernardo Cervantes, et al.. (2022). Enhancing nutritional niche and host defenses by modifying the gut microbiome. Molecular Systems Biology. 18(11). e9933–e9933. 11 indexed citations
11.
Ching, Carly, et al.. (2021). Computational Model To Quantify the Growth of Antibiotic-Resistant Bacteria in Wastewater. mSystems. 6(3). e0036021–e0036021. 24 indexed citations
12.
Annas, George J., Chase L. Beisel, Kendell Clement, et al.. (2021). A Code of Ethics for Gene Drive Research. The CRISPR Journal. 4(1). 19–24. 29 indexed citations
13.
Wong, Brandon G., et al.. (2020). Automated Continuous Evolution of Proteins in Vivo. ACS Synthetic Biology. 9(6). 1270–1276. 40 indexed citations
14.
Heins, Zachary, Christopher P. Mancuso, Szilvia Kiriakov, et al.. (2019). Designing Automated, High-throughput, Continuous Cell Growth Experiments Using eVOLVER. Journal of Visualized Experiments. 3 indexed citations
15.
Lee, Henry H., et al.. (2019). Functional genomics of the rapidly replicating bacterium Vibrio natriegens by CRISPRi. Nature Microbiology. 4(7). 1105–1113. 153 indexed citations
16.
Heins, Zachary, Christopher P. Mancuso, Szilvia Kiriakov, et al.. (2019). Designing Automated, High-throughput, Continuous Cell Growth Experiments Using eVOLVER. Journal of Visualized Experiments. 8 indexed citations
17.
Lobritz, Michael A., Peter Belenky, Caroline Porter, et al.. (2015). Antibiotic efficacy is linked to bacterial cellular respiration. Proceedings of the National Academy of Sciences. 112(27). 8173–8180. 539 indexed citations breakdown →
18.
Dwyer, Daniel J., Peter Belenky, Jason H. Yang, et al.. (2014). Antibiotics induce redox-related physiological alterations as part of their lethality. Proceedings of the National Academy of Sciences. 111(20). E2100–9. 695 indexed citations breakdown →
19.
Vega, Nic M., Kyle R. Allison, Ahmad S. Khalil, & James J. Collins. (2012). Signaling-mediated bacterial persister formation. Nature Chemical Biology. 8(5). 431–433. 335 indexed citations
20.
Khalil, Ahmad S., et al.. (2010). Molecular studies and antibiotic resistance of E. coli isolated from different hosts.. Alexandria Journal of Veterinary Sciences. 31(1). 125–135. 1 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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