Duluxan Sritharan
Impact in
- Biophysics top 10%
-
- Single-cell and spatial transcriptomics
- Protein Structure and Dynamics
- CRISPR and Genetic Engineering
- RNA and protein synthesis mechanisms
Papers in
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- Single-cell and spatial transcriptomics 2
- Protein Structure and Dynamics 2
- CRISPR and Genetic Engineering 2
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- Neural dynamics and brain function 6
- EEG and Brain-Computer Interfaces 3
- Co-authors
- Sridevi V. Sarma (5 shared papers)Daniel Jacobson (2 shared papers)Albert C. Pan (2 shared papers)David E. Shaw (2 shared papers)Sahand Hormoz (4 shared papers)Priscilla Cheung (2 shared papers)Sachin Patel (2 shared papers)Maximilian Nguyen (2 shared papers)
- Journals
- Cell (2 papers)Proceedings of the National Academy of Sciences (2 papers)Neural Computation (1 paper)Frontiers in Neuroscience (1 paper)Biophysical Journal (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Duluxan Sritharan
11 papers receiving 514 citations
Peers
Comparison fields: 5 of 84
- Biophysics 31
- Molecular Biology 368
- Cancer Research 55
- Cognitive Neuroscience 69
- Hematology 40
Countries citing papers authored by Duluxan Sritharan
This map shows the geographic impact of Duluxan Sritharan'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 Duluxan Sritharan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duluxan Sritharan more than expected).
Fields of papers citing papers by Duluxan Sritharan
This network shows the impact of papers produced by Duluxan Sritharan. 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 Duluxan Sritharan. The network helps show where Duluxan Sritharan may publish in the future.
Co-authors
The 25 scholars most cited alongside Duluxan Sritharan, 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 | 2020 | 194 | |
| 2 | 2019 | 148 | |
| 3 | 2023 | 50 | |
| 4 | 2020 | 39 | |
| 5 | 2014 | 32 | |
| 6 | 2015 | 30 | |
| 7 | 2012 | 12 | |
| 8 | 2018 | 4 | |
| 9 | 2014 | 3 | |
| 10 | 2021 | 2 | |
| 11 | 2012 | 2 | |
| 12 | 2014 | 0 |
About Duluxan Sritharan
Duluxan Sritharan is a scholar working on Molecular Biology, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Materials Chemistry and Infectious Diseases, having authored 12 papers that have together received 516 indexed citations. Recurring topics across this work include Neural dynamics and brain function (6 papers), EEG and Brain-Computer Interfaces (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Single-cell and spatial transcriptomics (2 papers), Neuroscience and Neural Engineering (2 papers), Enzyme Structure and Function (2 papers), Protein Structure and Dynamics (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Biophysics (31 citations), Molecular Biology (368 citations), Cancer Research (55 citations), Cognitive Neuroscience (69 citations) and Hematology (40 citations). Duluxan Sritharan has collaborated with scholars based in United States and Canada. Frequent co-authors include Sridevi V. Sarma, Daniel Jacobson, Albert C. Pan, David E. Shaw, Sahand Hormoz, Priscilla Cheung, Sachin Patel, Maximilian Nguyen, Fernando G. Osorio and Alejo Rodriguez-Fraticelli. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences, Neural Computation, Frontiers in Neuroscience and Biophysical Journal.
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.