Sumudu P. Leelananda
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- Computational Drug Discovery Methods 4
- Structural Biology top 10%
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- Protein Structure and Dynamics 12
- Machine Learning in Bioinformatics 5
- RNA and protein synthesis mechanisms 3
- Microbial Metabolic Engineering and Bioproduction 2
- Enzyme Catalysis and Immobilization 1
- Chemical Synthesis and Analysis 1
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- Enzyme Structure and Function 7
- Co-authors
- Steffen LindertRobert L. JerniganAndrzej KloczkowskiMichael T. ZimmermannPaweł GniewekAndrzej KolińskiFadi TowficSaras Saraswathi
- Journals
- The Journal of Chemical Physics (1 paper)The Journal of Physical Chemistry B (1 paper)Biophysical Journal (2 papers)
- Partner nations
- United StatesPoland
In The Last Decade
Sumudu P. Leelananda
16 papers receiving 571 citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Computational Theory and Mathematics 262
- Structural Biology 13
- Molecular Biology 391
- Pharmacology 31
- Organic Chemistry 90
Countries citing papers authored by Sumudu P. Leelananda
This map shows the geographic impact of Sumudu P. Leelananda'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 Sumudu P. Leelananda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumudu P. Leelananda more than expected).
Fields of papers citing papers by Sumudu P. Leelananda
This network shows the impact of papers produced by Sumudu P. Leelananda. 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 Sumudu P. Leelananda. The network helps show where Sumudu P. Leelananda may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Sumudu P. Leelananda, 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 | 2024 | 1 | |
| 2 | 2023 | 6 | |
| 3 | 2019 | 20 | |
| 4 | 2018 | 1 | |
| 5 | 2017 | 26 | |
| 6 | Computational methods in drug discoverybreakdown → | 2016 | 404 |
| 7 | 2016 | 7 | |
| 8 | 2016 | 6 | |
| 9 | 2016 | 3 | |
| 10 | 2014 | 3 | |
| 11 | 2012 | 1 | |
| 12 | 2012 | 23 | |
| 13 | 2012 | 23 | |
| 14 | 2011 | 35 | |
| 15 | 2011 | 15 | |
| 16 | 2011 | 10 |
About Sumudu P. Leelananda
Sumudu P. Leelananda is a scholar working on Computational Theory and Mathematics, Molecular Biology and Materials Chemistry, having authored 16 papers that have together received 584 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (12 papers), Enzyme Structure and Function (7 papers), Machine Learning in Bioinformatics (5 papers), Computational Drug Discovery Methods (4 papers), RNA and protein synthesis mechanisms (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Enzyme Catalysis and Immobilization (1 paper) and Chemical Synthesis and Analysis (1 paper). The work is most often cited by research in Computational Theory and Mathematics (262 citations), Structural Biology (13 citations) and Molecular Biology (391 citations). Sumudu P. Leelananda has collaborated with scholars based in United States and Poland. Frequent co-authors include Steffen Lindert, Robert L. Jernigan, Andrzej Kloczkowski, Michael T. Zimmermann, Paweł Gniewek, Andrzej Koliński, Fadi Towfic, Saras Saraswathi, Yaping Feng and Taner Z. Sen. Their work appears in journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry B 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.