Deepika Weerasinghe

2.5k total citations · 1 hit paper
4 papers, 1.4k citations indexed

About

Deepika Weerasinghe is a scholar working on Molecular Biology, Plant Science and Biomedical Engineering. According to data from OpenAlex, Deepika Weerasinghe has authored 4 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 1 paper in Plant Science and 1 paper in Biomedical Engineering. Recurrent topics in Deepika Weerasinghe's work include Bioinformatics and Genomic Networks (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and Plant Pathogenic Bacteria Studies (1 paper). Deepika Weerasinghe is often cited by papers focused on Bioinformatics and Genomic Networks (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and Plant Pathogenic Bacteria Studies (1 paper). Deepika Weerasinghe collaborates with scholars based in United States and Sri Lanka. Deepika Weerasinghe's co-authors include Ingrid M. Keseler, Peter D. Karp, Pallavi Subhraveti, Markus Krummenacker, Tomer Altman, Mario Latendresse, Suzanne Paley, Quang Ong, Kate Dreher and Lukas A. Mueller and has published in prestigious journals such as Nucleic Acids Research, Database and Journal of Crop Improvement.

In The Last Decade

Deepika Weerasinghe

4 papers receiving 1.3k citations

Hit Papers

The MetaCyc database of metabolic pathways and enzymes an... 2013 2026 2017 2021 2013 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of Pathway/Genome Databases
    2013 867 citations Ron Caspi, Tomer Altman et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Deepika Weerasinghe United States 4 1.0k 194 185 145 107 4 1.4k
Konstantinos A. Kouremenos Australia 17 890 0.9× 158 0.8× 282 1.5× 131 0.9× 92 0.9× 31 1.5k
Timothy A. Holland United States 5 775 0.8× 146 0.8× 117 0.6× 97 0.7× 77 0.7× 5 993
Alexander G. Shearer United States 10 1.6k 1.6× 197 1.0× 248 1.3× 134 0.9× 260 2.4× 14 2.0k
Hui Song China 24 636 0.6× 108 0.6× 127 0.7× 235 1.6× 107 1.0× 66 1.4k
Irina A. Rodionova United States 22 883 0.9× 153 0.8× 96 0.5× 118 0.8× 226 2.1× 36 1.3k
Saravanan Dayalan Australia 15 613 0.6× 85 0.4× 161 0.9× 77 0.5× 38 0.4× 26 1.1k
Ranjith Kumavath India 19 709 0.7× 206 1.1× 63 0.3× 114 0.8× 46 0.4× 64 1.2k
Mohammed N. Baeshen Saudi Arabia 20 1.0k 1.0× 74 0.4× 303 1.6× 248 1.7× 99 0.9× 52 1.8k
Tomer Altman United States 10 2.0k 2.0× 442 2.3× 365 2.0× 391 2.7× 205 1.9× 12 2.7k
Amina Bouslimani United States 17 670 0.7× 93 0.5× 69 0.4× 55 0.4× 84 0.8× 18 1.3k

Countries citing papers authored by Deepika Weerasinghe

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Deepika Weerasinghe

This figure shows the co-authorship network connecting the top 25 collaborators of Deepika Weerasinghe. A scholar is included among the top collaborators of Deepika Weerasinghe based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Deepika Weerasinghe. Deepika Weerasinghe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
1.
Weerasinghe, Deepika, et al.. (2020). A novel intragenic marker targeting the ectodomain of bacterial blight-resistance gene Xa21 for marker-assisted selection in rice. Journal of Crop Improvement. 34(6). 824–841. 3 indexed citations
2.
Keseler, Ingrid M., Marek S. Skrzypek, Deepika Weerasinghe, et al.. (2014). Curation accuracy of model organism databases. Database. 2014(0). bau058–bau058. 23 indexed citations
3.
Caspi, Ron, Tomer Altman, Richard Billington, et al.. (2013). The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of Pathway/Genome Databases. Nucleic Acids Research. 42(D1). D459–D471. 867 indexed citations breakdown →
4.
Caspi, Rachel R, Tomer Altman, Kate Dreher, et al.. (2011). The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases. Nucleic Acids Research. 40(D1). D742–D753. 457 indexed citations

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.

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2026