Sajith Jayasinghe
Impact in
- Microbiology top 1%
- Antimicrobial Peptides and Activities
- Molecular Biology top 5%
- Lipid Membrane Structure and Behavior
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
Papers in
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- Lipid Membrane Structure and Behavior 10
- Protein Structure and Dynamics 6
- RNA and protein synthesis mechanisms 3
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- Alzheimer's disease research and treatments 4
- Co-authors
- Stephen H. White (6 shared papers)Ralf Langen (9 shared papers)Kalina Hristova (4 shared papers)Alexey S. Ladokhin (3 shared papers)Mónica Fernández-Vidal (1 shared paper)David S. Cafiso (3 shared papers)Peter C. Butler (4 shared papers)Jeffrey F. Ellena (2 shared papers)
- Journals
- Journal of Biological Chemistry (5 papers)Biochemistry (3 papers)Journal of Molecular Biology (2 papers)Protein Science (2 papers)Molecular Biology of the Cell (1 paper)
- Partner nations
- United StatesGermanyDenmark
In The Last Decade
Sajith Jayasinghe
19 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 107
- Microbiology 333
- Molecular Biology 1.9k
- Physiology 673
- Biomaterials 216
- Cell Biology 269
Countries citing papers authored by Sajith Jayasinghe
This map shows the geographic impact of Sajith Jayasinghe'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 Sajith Jayasinghe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sajith Jayasinghe more than expected).
Fields of papers citing papers by Sajith Jayasinghe
This network shows the impact of papers produced by Sajith Jayasinghe. 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 Sajith Jayasinghe. The network helps show where Sajith Jayasinghe may publish in the future.
Co-authors
The 25 scholars most cited alongside Sajith Jayasinghe, 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 | 2000 | 386 | |
| 2 | 2005 | 241 | |
| 3 | 2001 | 239 | |
| 4 | 2009 | 220 | |
| 5 | 2001 | 198 | |
| 6 | 2008 | 166 | |
| 7 | 2007 | 159 | |
| 8 | 2007 | 146 | |
| 9 | 2006 | 139 | |
| 10 | 2001 | 136 | |
| 11 | 2004 | 134 | |
| 12 | 1994 | 79 | |
| 13 | 2000 | 51 | |
| 14 | 2015 | 35 | |
| 15 | 1998 | 21 | |
| 16 | 2009 | 18 | |
| 17 | 2003 | 15 | |
| 18 | 2010 | 9 | |
| 19 | 2016 | 4 |
About Sajith Jayasinghe
Sajith Jayasinghe is a scholar working on Molecular Biology, Physiology, Genetics, Biomaterials and Cell Biology, having authored 19 papers that have together received 2.4k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (10 papers), Protein Structure and Dynamics (6 papers), Alzheimer's disease research and treatments (4 papers), Electron Spin Resonance Studies (3 papers), RNA and protein synthesis mechanisms (3 papers), Bacterial Genetics and Biotechnology (3 papers), Supramolecular Self-Assembly in Materials (3 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Microbiology (333 citations), Molecular Biology (1.9k citations), Physiology (673 citations), Biomaterials (216 citations) and Cell Biology (269 citations). Sajith Jayasinghe has collaborated with scholars based in United States, Germany and Denmark. Frequent co-authors include Stephen H. White, Ralf Langen, Kalina Hristova, Alexey S. Ladokhin, Mónica Fernández-Vidal, David S. Cafiso, Peter C. Butler, Jeffrey F. Ellena, J.C. Franklin and Rakez Kayed. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Journal of Molecular Biology, Protein Science and Molecular Biology of the 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.