Don Kulasiri
Impact in
- Analytical Chemistry top 5%
- Spectroscopy and Chemometric Analyses
Papers in
-
- Gene Regulatory Network Analysis 25
- Bioinformatics and Genomic Networks 9
- DNA Repair Mechanisms 7
-
- Neuroscience and Neuropharmacology Research 10
- Co-authors
- Sandhya Samarasinghe (70 shared papers)Terry N. Brown (4 shared papers)Zhi Xie (6 shared papers)Ian Woodhead (6 shared papers)Hong Ling (8 shared papers)Glen C. Rains (4 shared papers)Lan K. Nguyen (5 shared papers)R. Bickerstaffe (5 shared papers)
- Journals
- Biosystems (10 papers)Journal of Theoretical Biology (9 papers)Silva Fennica (6 papers)Journal of Food Engineering (3 papers)Ecological Modelling (3 papers)
- Partner nations
- New ZealandUnited StatesChina
In The Last Decade
Don Kulasiri
113 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 153
- Tourism, Leisure and Hospitality Management 28
- Analytical Chemistry 127
- Animal Science and Zoology 82
- Building and Construction 113
- Food Science 122
Countries citing papers authored by Don Kulasiri
This map shows the geographic impact of Don Kulasiri'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 Don Kulasiri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Don Kulasiri more than expected).
Fields of papers citing papers by Don Kulasiri
This network shows the impact of papers produced by Don Kulasiri. 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 Don Kulasiri. The network helps show where Don Kulasiri may publish in the future.
Co-authors
The 25 scholars most cited alongside Don Kulasiri, 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 124 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 62 | |
| 2 | 2022 | 55 | |
| 3 | 2008 | 52 | |
| 4 | 2023 | 45 | |
| 5 | 2020 | 43 | |
| 6 | 2007 | 39 | |
| 7 | 2007 | 34 | |
| 8 | 2023 | 34 | |
| 9 | 1996 | 34 | |
| 10 | 2004 | 31 | |
| 11 | 2006 | 29 | |
| 12 | 2015 | 28 | |
| 13 | 2008 | 27 | |
| 14 | 2008 | 27 | |
| 15 | 2014 | 26 | |
| 16 | 2013 | 25 | |
| 17 | 2005 | 24 | |
| 18 | 2000 | 22 | |
| 19 | 2010 | 21 | |
| 20 | 2020 | 21 |
About Don Kulasiri
Don Kulasiri is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Plant Science, Environmental Engineering and Genetics, having authored 124 papers that have together received 1.2k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (25 papers), Neuroscience and Neuropharmacology Research (10 papers), Groundwater flow and contamination studies (9 papers), Wood Treatment and Properties (9 papers), Bioinformatics and Genomic Networks (9 papers), DNA Repair Mechanisms (7 papers), Spectroscopy and Chemometric Analyses (6 papers) and Cancer-related Molecular Pathways (6 papers). The work is most often cited by research in Tourism, Leisure and Hospitality Management (28 citations), Analytical Chemistry (127 citations), Animal Science and Zoology (82 citations), Building and Construction (113 citations) and Food Science (122 citations). Don Kulasiri has collaborated with scholars based in New Zealand, United States and China. Frequent co-authors include Sandhya Samarasinghe, Terry N. Brown, Zhi Xie, Ian Woodhead, Hong Ling, Glen C. Rains, Lan K. Nguyen, R. Bickerstaffe, Jeffery K. Tomberlin and Yao He. Their work appears in journals such as Biosystems, Journal of Theoretical Biology, Silva Fennica, Journal of Food Engineering and Ecological Modelling.
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.