Deepika Weerasinghe
Impact in
- Molecular Biology top 10%
- Microbial Metabolic Engineering and Bioproduction
- Bioinformatics and Genomic Networks
- Gut microbiota and health
- Genomics and Phylogenetic Studies
- Metabolomics and Mass Spectrometry Studies
- Gene Regulatory Network Analysis
- Ecology top 10%
- Microbial Community Ecology and Physiology
Papers in
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- Bioinformatics and Genomic Networks 3
- Microbial Metabolic Engineering and Bioproduction 2
- Protein Structure and Dynamics 1
- Genomics and Phylogenetic Studies 1
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- Plant-Microbe Interactions and Immunity 1
- Plant pathogens and resistance mechanisms 1
- Plant Pathogenic Bacteria Studies 1
- Co-authors
- Ingrid M. Keseler (3 shared papers)Peter D. Karp (3 shared papers)Pallavi Subhraveti (2 shared papers)Mario Latendresse (2 shared papers)Suzanne Paley (2 shared papers)Quang Ong (2 shared papers)Markus Krummenacker (2 shared papers)Kate Dreher (2 shared papers)
- Partner nations
- United StatesSri Lanka
In The Last Decade
Deepika Weerasinghe
4 papers receiving 1.3k citations
Deepika Weerasinghe's Hit Papers
Peers
Comparison fields: 5 of 123
- Molecular Biology 1.0k
- Ecology 194
- Aging 10
- Biotechnology 48
- Pollution 52
Countries citing papers authored by Deepika Weerasinghe
This map shows the geographic impact of Deepika Weerasinghe'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 Deepika Weerasinghe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepika Weerasinghe more than expected).
Fields of papers citing papers by Deepika Weerasinghe
This network shows the impact of papers produced by Deepika Weerasinghe. 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 Deepika Weerasinghe. The network helps show where Deepika Weerasinghe may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepika Weerasinghe, 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 | The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of Pathway/Genome Databases Hit paper breakdown → | 2013 | 867 |
| 2 | 2011 | 457 | |
| 3 | 2014 | 23 | |
| 4 | 2020 | 3 |
About Deepika Weerasinghe
Deepika Weerasinghe is a scholar working on Molecular Biology, Plant Science, Biomedical Engineering, Infectious Diseases and Organic Chemistry, having authored 4 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Plant-Microbe Interactions and Immunity (1 paper), Protein Structure and Dynamics (1 paper), Plant pathogens and resistance mechanisms (1 paper), Genomics and Phylogenetic Studies (1 paper), Plant Pathogenic Bacteria Studies (1 paper) and Biofuel production and bioconversion (1 paper). The work is most often cited by research in Molecular Biology (1.0k citations), Ecology (194 citations), Aging (10 citations), Biotechnology (48 citations) and Pollution (52 citations). Deepika Weerasinghe has collaborated with scholars based in United States and Sri Lanka. Frequent co-authors include Ingrid M. Keseler, Peter D. Karp, Pallavi Subhraveti, Mario Latendresse, Suzanne Paley, Quang Ong, Markus Krummenacker, Kate Dreher, Lukas A. Mueller and Tomer Altman. Their work appears in journals such as Nucleic Acids Research, Database and Journal of Crop Improvement.
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.