L.D.C. Peiris
Impact in
- Aquatic Science top 5%
- Seaweed-derived Bioactive Compounds
- Biochemistry top 10%
- Phytochemicals and Antioxidant Activities
Papers in ⓘ
-
- Protein Hydrolysis and Bioactive Peptides 3
-
- Natural Antidiabetic Agents Studies 10
- Co-authors
- Kalpa W. Samarakoon (8 shared papers)P. Ranasinghe (7 shared papers)Ivan Pacheco (1 shared paper)John Macleod (1 shared paper)H. D. M. Moore (3 shared papers)Mohamed Boudjelal (3 shared papers)Rizwan Ali (5 shared papers)W.D. Ratnasooriya (3 shared papers)
- Journals
- Biology (3 papers)Marine Drugs (2 papers)PeerJ (2 papers)Scientific Reports (1 paper)Traffic Injury Prevention (1 paper)
- Partner nations
- Sri LankaCanadaSaudi Arabia
In The Last Decade
L.D.C. Peiris
43 papers receiving 675 citations
Peers
Comparison fields: 5 of 119
- Aquatic Science 115
- Biochemistry 65
- Complementary and alternative medicine 77
- Toxicology 32
- Endocrinology, Diabetes and Metabolism 104
Countries citing papers authored by L.D.C. Peiris
This map shows the geographic impact of L.D.C. Peiris'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 L.D.C. Peiris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L.D.C. Peiris more than expected).
Fields of papers citing papers by L.D.C. Peiris
This network shows the impact of papers produced by L.D.C. Peiris. 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 L.D.C. Peiris. The network helps show where L.D.C. Peiris may publish in the future.
Co-authors
The 23 scholars most cited alongside L.D.C. Peiris, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 77 | |
| 2 | 2019 | 56 | |
| 3 | 2017 | 49 | |
| 4 | 2006 | 47 | |
| 5 | 2017 | 38 | |
| 6 | 2020 | 36 | |
| 7 | 2015 | 33 | |
| 8 | 2018 | 33 | |
| 9 | 2022 | 32 | |
| 10 | 2020 | 32 | |
| 11 | 2019 | 29 | |
| 12 | 2018 | 26 | |
| 13 | 2011 | 26 | |
| 14 | 2015 | 24 | |
| 15 | 2021 | 20 | |
| 16 | 2022 | 18 | |
| 17 | 2020 | 17 | |
| 18 | 2010 | 15 | |
| 19 | 2009 | 13 | |
| 20 | 2021 | 10 |
About L.D.C. Peiris
L.D.C. Peiris is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Aquatic Science, Plant Science and Complementary and alternative medicine, having authored 46 papers that have together received 707 indexed citations. Recurring topics across this work include Natural Antidiabetic Agents Studies (10 papers), Seaweed-derived Bioactive Compounds (9 papers), Environmental Toxicology and Ecotoxicology (4 papers), Traffic and Road Safety (4 papers), Pesticide Exposure and Toxicity (4 papers), Sperm and Testicular Function (4 papers), Protein Hydrolysis and Bioactive Peptides (3 papers) and Bioactive Compounds and Antitumor Agents (3 papers). The work is most often cited by research in Aquatic Science (115 citations), Biochemistry (65 citations), Complementary and alternative medicine (77 citations), Toxicology (32 citations) and Endocrinology, Diabetes and Metabolism (104 citations). L.D.C. Peiris has collaborated with scholars based in Sri Lanka, Canada and Saudi Arabia. Frequent co-authors include Kalpa W. Samarakoon, P. Ranasinghe, Ivan Pacheco, John Macleod, H. D. M. Moore, Mohamed Boudjelal, Rizwan Ali, W.D. Ratnasooriya, Ediriweera Desapriya and Giulia Scime. Their work appears in journals such as Biology, Marine Drugs, PeerJ, Scientific Reports and Traffic Injury Prevention.
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.