Sajith A. Jayasinghe
Impact in
- Microbiology top 2%
- Antimicrobial Peptides and Activities
- Physiology top 5%
- Alzheimer's disease research and treatments
Papers in
-
- Lipid Membrane Structure and Behavior 8
- Protein Structure and Dynamics 4
- Machine Learning in Bioinformatics 2
- S100 Proteins and Annexins 2
-
- Alzheimer's disease research and treatments 5
- Co-authors
- Ralf Langen (9 shared papers)Stephen H. White (5 shared papers)Alexey S. Ladokhin (3 shared papers)Kalina A. Hristova (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)Protein Science (2 papers)Biophysical Journal (1 paper)Molecular Biology of the Cell (1 paper)
- Partner nations
- United StatesGermanyDenmark
In The Last Decade
Sajith A. Jayasinghe
18 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 86
- Microbiology 258
- Physiology 645
- Molecular Biology 1.4k
- Biophysics 101
- Surgery 373
Countries citing papers authored by Sajith A. Jayasinghe
This map shows the geographic impact of Sajith A. 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 A. 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 A. Jayasinghe more than expected).
Fields of papers citing papers by Sajith A. Jayasinghe
This network shows the impact of papers produced by Sajith A. 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 A. Jayasinghe. The network helps show where Sajith A. Jayasinghe may publish in the future.
Co-authors
The 25 scholars most cited alongside Sajith A. 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 | 399 | |
| 2 | 2001 | 258 | |
| 3 | 2005 | 246 | |
| 4 | 2009 | 228 | |
| 5 | 2008 | 170 | |
| 6 | 2007 | 159 | |
| 7 | 2007 | 155 | |
| 8 | 2006 | 148 | |
| 9 | 2001 | 145 | |
| 10 | 2004 | 139 | |
| 11 | 1994 | 87 | |
| 12 | 2000 | 51 | |
| 13 | 2015 | 37 | |
| 14 | 1998 | 25 | |
| 15 | 2009 | 20 | |
| 16 | 2003 | 19 | |
| 17 | 2010 | 11 | |
| 18 | 2016 | 4 |
About Sajith A. Jayasinghe
Sajith A. Jayasinghe is a scholar working on Molecular Biology, Physiology, Biophysics, Surgery and Cell Biology, having authored 18 papers that have together received 2.3k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (8 papers), Alzheimer's disease research and treatments (5 papers), Pancreatic function and diabetes (5 papers), Protein Structure and Dynamics (4 papers), Electron Spin Resonance Studies (2 papers), Machine Learning in Bioinformatics (2 papers), S100 Proteins and Annexins (2 papers) and Cellular transport and secretion (1 paper). The work is most often cited by research in Microbiology (258 citations), Physiology (645 citations), Molecular Biology (1.4k citations), Biophysics (101 citations) and Surgery (373 citations). Sajith A. Jayasinghe has collaborated with scholars based in United States, Germany and Denmark. Frequent co-authors include Ralf Langen, Stephen H. White, Alexey S. Ladokhin, Kalina A. Hristova, Mónica Fernández-Vidal, David S. Cafiso, Peter C. Butler, Jeffrey F. Ellena, J.C. Franklin and Charles G. Glabe. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Protein Science, Biophysical Journal 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.