Rajika L. Perera
- Molecular Medicine top 5%
- Molecular Biology top 10%
- DNA Repair Mechanisms 7
- Genomics and Chromatin Dynamics 5
- DNA and Nucleic Acid Chemistry 3
- Cancer therapeutics and mechanisms 2
- Advanced Biosensing Techniques and Applications 2
- CRISPR and Genetic Engineering 2
- Toxicology top 5%
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- Monoclonal and Polyclonal Antibodies Research 5
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- Bacterial Genetics and Biotechnology 3
- Co-authors
- Luca PellegriniMichael R. DysonM.L. KilkennyJohn McCaffertyKaren J. VincentSebastian KlingeJoseph D MamanKarim Labib
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (3 papers)
- Partner nations
- United KingdomUnited StatesRussia
In The Last Decade
Rajika L. Perera
15 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 79
- Molecular Medicine 103
- Molecular Biology 998
- Toxicology 37
- Radiology, Nuclear Medicine and Imaging 144
- Genetics 167
Countries citing papers authored by Rajika L. Perera
This map shows the geographic impact of Rajika L. Perera'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 Rajika L. Perera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajika L. Perera more than expected).
Fields of papers citing papers by Rajika L. Perera
This network shows the impact of papers produced by Rajika L. Perera. 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 Rajika L. Perera. The network helps show where Rajika L. Perera may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rajika L. Perera, 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 | 3 | |
| 2 | 2020 | 50 | |
| 3 | 2019 | 41 | |
| 4 | 2018 | 100 | |
| 5 | 2014 | 165 | |
| 6 | 2013 | 56 | |
| 7 | 2013 | 77 | |
| 8 | 2012 | 35 | |
| 9 | 2012 | 1 | |
| 10 | 2011 | 56 | |
| 11 | Structural basis of quinolone inhibition of type IIA topoisomerases and target-mediated resistance. Nat Struct Mol Biol 17(9): 1152-1153 | 2010 | 22 |
| 12 | 2010 | 58 | |
| 13 | 2010 | 242 | |
| 14 | 2008 | 29 | |
| 15 | 2004 | 210 |
About Rajika L. Perera
Rajika L. Perera is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Molecular Medicine, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Genomics and Chromatin Dynamics (5 papers), DNA and Nucleic Acid Chemistry (3 papers), Bacterial Genetics and Biotechnology (3 papers), Cancer therapeutics and mechanisms (2 papers), Advanced Biosensing Techniques and Applications (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Molecular Medicine (103 citations), Molecular Biology (998 citations) and Toxicology (37 citations). Rajika L. Perera has collaborated with scholars based in United Kingdom, United States and Russia. Frequent co-authors include Luca Pellegrini, Michael R. Dyson, M.L. Kilkenny, John McCafferty, Karen J. Vincent, Sebastian Klinge, Joseph D Maman, Karim Labib, Michael Kranz and Timothy J. Miles. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.