Chamila N. Rupasinghe

579 citations
18 papers · 464 · h-index 13

Impact in

Papers in

Chamila N. Rupasinghe

18 papers receiving 459 citations

Peers

Chamila N. Rupasinghe
Comparison fields: 5 of 83
  • Cellular and Molecular Neuroscience 133
  • Cell Biology 99
  • Molecular Biology 321
  • Microbiology 19
  • Neurology 15
Replace Vaishali Kakkar with:
Vaishali Kakkar Netherlands
Karen Stanger Canada
Gil Bu Kang South Korea
Jesusa Capera Spain
Cristina Martín de la Vega Spain
Anna Sigurdardottir United Kingdom
Aenoch J. Lynn United States
Thierry Métayé France
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Chamila N. Rupasinghe relative to Vaishali Kakkar Netherlands Vaishali Kakkar's profile →
Citations per field
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Citations per year

Countries citing papers authored by Chamila N. Rupasinghe

Since Specialization
Citations

This map shows the geographic impact of Chamila N. Rupasinghe'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 Chamila N. Rupasinghe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chamila N. Rupasinghe more than expected).

Fields of papers citing papers by Chamila N. Rupasinghe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chamila N. Rupasinghe. 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 Chamila N. Rupasinghe. The network helps show where Chamila N. Rupasinghe may publish in the future.

Co-authors

The 25 scholars most cited alongside Chamila N. Rupasinghe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chamila N. Rupasinghe Line = papers co-authored together Chamila N. Rupasinghe links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2006106
2 200767
3 201549
4 201237
5 201035
6 200922
7 201517
8 201017
9 200616
10 201316
11 201315
12 200715
13 201415
14 20139
15 20148
16 20148
17 20126
18
Modulating the dysregulated migration of pulmonary arterial hypertensive smooth muscle cells with motif mimicking cell permeable peptides.
20156

About Chamila N. Rupasinghe

Chamila N. Rupasinghe is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Cardiology and Cardiovascular Medicine and Cell Biology, having authored 18 papers that have together received 464 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (3 papers), RNA Interference and Gene Delivery (3 papers), Lipid Membrane Structure and Behavior (2 papers), Pulmonary Hypertension Research and Treatments (2 papers), Heat shock proteins research (2 papers), Polyomavirus and related diseases (2 papers), Full-Duplex Wireless Communications (2 papers) and Enzyme Structure and Function (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (133 citations), Cell Biology (99 citations), Molecular Biology (321 citations), Microbiology (19 citations) and Neurology (15 citations). Chamila N. Rupasinghe has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Mark R. Spaller, José A. Esteban, Nashaat Z. Gerges, Donald S. Backos, Nicole Caspers, Tao Li, Dorina Saro, Dale F. Mierke, Sudhir C. Sharma and Dennis J. Goebel. Their work appears in journals such as Biochemistry, Virus Research, Scientific Reports, Neuroscience and Cell Death and Disease.

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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