Alexis C. Komor
- Aging top 0.5%
- Molecular Biology top 0.5%
- CRISPR and Genetic Engineering 30
- RNA and protein synthesis mechanisms 15
- RNA regulation and disease 12
- Advanced biosensing and bioanalysis techniques 6
- DNA and Nucleic Acid Chemistry 4
- Genetics top 0.5%
- Virus-based gene therapy research 5
- Insect Science top 1%
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- Metal complexes synthesis and properties 7
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- Cytomegalovirus and herpesvirus research 4
- Co-authors
- David R. LiuMichael S. PackerAhmed H. BadranJohn A. ZurisNicole M. GaudelliHolly A. ReesDavid I. BrysonJacqueline K. Barton
- Partner nations
- United States
In The Last Decade
Alexis C. Komor
38 papers receiving 9.7k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Business and International Management 860
- Aging 535
- Molecular Biology 9.1k
- Genetics 2.5k
- Insect Science 607
Countries citing papers authored by Alexis C. Komor
This map shows the geographic impact of Alexis C. Komor'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 Alexis C. Komor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexis C. Komor more than expected).
Fields of papers citing papers by Alexis C. Komor
This network shows the impact of papers produced by Alexis C. Komor. 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 Alexis C. Komor. The network helps show where Alexis C. Komor may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alexis C. Komor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 11 | |
| 5 | 2024 | 8 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 26 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 4 | |
| 11 | 2022 | 22 | |
| 12 | 2022 | 7 | |
| 13 | 2022 | 4 | |
| 14 | 2021 | 12 | |
| 15 | Improved base excision repair inhibition and bacteriophage Mu Gam protein yields C:G-to-T:A base editors with higher efficiency and product puritybreakdown → | 2017 | 568 |
| 16 | Increasing the genome-targeting scope and precision of base editing with engineered Cas9-cytidine deaminase fusionsbreakdown → | 2017 | 577 |
| 17 | Programmable base editing of A•T to G•C in genomic DNA without DNA cleavagebreakdown → | 2017 | 2789 |
| 18 | Programmable editing of a target base in genomic DNA without double-stranded DNA cleavagebreakdown → | 2016 | 3599 |
| 19 | 2013 | 13 | |
| 20 | 2013 | 335 |
About Alexis C. Komor
Alexis C. Komor is a scholar working on Business and International Management, Molecular Biology and Genetics, having authored 41 papers that have together received 9.9k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (30 papers), RNA and protein synthesis mechanisms (15 papers), RNA regulation and disease (12 papers), Metal complexes synthesis and properties (7 papers), Advanced biosensing and bioanalysis techniques (6 papers), Virus-based gene therapy research (5 papers), DNA and Nucleic Acid Chemistry (4 papers) and Cytomegalovirus and herpesvirus research (4 papers). The work is most often cited by research in Business and International Management (860 citations), Aging (535 citations) and Molecular Biology (9.1k citations). Alexis C. Komor has collaborated with scholars based in United States. Frequent co-authors include David R. Liu, Michael S. Packer, Ahmed H. Badran, John A. Zuris, Nicole M. Gaudelli, Holly A. Rees, David I. Bryson, Jacqueline K. Barton, Kevin T. Zhao and Jonathan M. Levy. Their work appears in journals such as Nature, Science and Cell.
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.