Ahmed H. Badran
- Aging top 1%
- Molecular Biology top 1%
- CRISPR and Genetic Engineering 17
- RNA and protein synthesis mechanisms 15
- Genomics and Phylogenetic Studies 6
- RNA modifications and cancer 6
- Advanced biosensing and bioanalysis techniques 4
- Molecular Medicine top 2%
- Genetics top 1%
- Evolution and Genetic Dynamics 4
- Bacterial Genetics and Biotechnology 3
-
- Monoclonal and Polyclonal Antibodies Research 3
- Co-authors
- David R. LiuAlexis C. KomorMichael S. PackerNicole M. GaudelliDavid I. BrysonHolly A. ReesJames J. CollinsJonathan Stokes
- Partner nations
- United StatesSwedenCanada
In The Last Decade
Ahmed H. Badran
31 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Business and International Management 407
- Aging 254
- Molecular Biology 5.7k
- Molecular Medicine 262
- Genetics 1.4k
Countries citing papers authored by Ahmed H. Badran
This map shows the geographic impact of Ahmed H. Badran'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 Ahmed H. Badran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ahmed H. Badran more than expected).
Fields of papers citing papers by Ahmed H. Badran
This network shows the impact of papers produced by Ahmed H. Badran. 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 Ahmed H. Badran. The network helps show where Ahmed H. Badran may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ahmed H. Badran, 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 | 0 | |
| 2 | 2024 | 11 | |
| 3 | 2024 | 9 | |
| 4 | 2022 | 7 | |
| 5 | 2021 | 12 | |
| 6 | 2021 | 18 | |
| 7 | Clinically relevant mutations in core metabolic genes confer antibiotic resistancebreakdown → | 2021 | 238 |
| 8 | 2021 | 30 | |
| 9 | Clinically relevant mutations in core metabolic genes confer antibiotic resistance | 2021 | 3 |
| 10 | 2021 | 17 | |
| 11 | 2020 | 21 | |
| 12 | 2020 | 41 | |
| 13 | 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 |
| 14 | 2017 | 14 | |
| 15 | Programmable base editing of A•T to G•C in genomic DNA without DNA cleavagebreakdown → | 2017 | 2789 |
| 16 | 2016 | 151 | |
| 17 | 2015 | 149 | |
| 18 | 2014 | 126 | |
| 19 | 2010 | 37 | |
| 20 | 2009 | 10 |
About Ahmed H. Badran
Ahmed H. Badran is a scholar working on Business and International Management, Molecular Biology and Molecular Medicine, having authored 32 papers that have together received 6.8k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (17 papers), RNA and protein synthesis mechanisms (15 papers), Genomics and Phylogenetic Studies (6 papers), RNA modifications and cancer (6 papers), Advanced biosensing and bioanalysis techniques (4 papers), Evolution and Genetic Dynamics (4 papers), Bacterial Genetics and Biotechnology (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Business and International Management (407 citations), Aging (254 citations) and Molecular Biology (5.7k citations). Ahmed H. Badran has collaborated with scholars based in United States, Sweden and Canada. Frequent co-authors include David R. Liu, Alexis C. Komor, Michael S. Packer, Nicole M. Gaudelli, David I. Bryson, Holly A. Rees, James J. Collins, Jonathan Stokes, Andrés Cubillos-Ruiz and Shawn French. 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.