Saroja Weeratunga

846 total citations
15 papers, 490 citations indexed

About

Saroja Weeratunga is a scholar working on Molecular Biology, Cell Biology and Hematology. According to data from OpenAlex, Saroja Weeratunga has authored 15 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Cell Biology and 3 papers in Hematology. Recurrent topics in Saroja Weeratunga's work include Cellular transport and secretion (6 papers), Porphyrin Metabolism and Disorders (3 papers) and Iron Metabolism and Disorders (3 papers). Saroja Weeratunga is often cited by papers focused on Cellular transport and secretion (6 papers), Porphyrin Metabolism and Disorders (3 papers) and Iron Metabolism and Disorders (3 papers). Saroja Weeratunga collaborates with scholars based in Australia, United States and United Kingdom. Saroja Weeratunga's co-authors include Mario Rivera, Brett M. Collins, Blessy Paul, Scott Lovell, Andreas Hofmann, Huili Yao, Yuhong Zeng, K.P. Battaile, Conan K. Wang and Kate J. Heesom and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.

In The Last Decade

Saroja Weeratunga

15 papers receiving 488 citations

Peers

Saroja Weeratunga
G. Bourenkow Germany
Jana L. Seymour United States
Charlotte Head United States
C. Paul Germany
Saroja Weeratunga
Citations per year, relative to Saroja Weeratunga Saroja Weeratunga (= 1×) peers Hanne Müller

Countries citing papers authored by Saroja Weeratunga

Since Specialization
Citations

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

Fields of papers citing papers by Saroja Weeratunga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Saroja Weeratunga. 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 Saroja Weeratunga. The network helps show where Saroja Weeratunga may publish in the future.

Co-authorship network of co-authors of Saroja Weeratunga

This figure shows the co-authorship network connecting the top 25 collaborators of Saroja Weeratunga. A scholar is included among the top collaborators of Saroja Weeratunga 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 Saroja Weeratunga. Saroja Weeratunga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Weeratunga, Saroja, Rachel S. Gormal, Emma K. Livingstone, et al.. (2023). Interrogation and validation of the interactome of neuronal Munc18-interacting Mint proteins with AlphaFold2. Journal of Biological Chemistry. 300(1). 105541–105541. 6 indexed citations
2.
Simonetti, Boris, James L. Daly, Lorena Simón‐Gracia, et al.. (2022). ESCPE-1 mediates retrograde endosomal sorting of the SARS-CoV-2 host factor Neuropilin-1. Proceedings of the National Academy of Sciences. 119(25). e2201980119–e2201980119. 18 indexed citations
3.
Paul, Blessy, Saroja Weeratunga, Vikas A. Tillu, et al.. (2022). Structural Predictions of the SNX-RGS Proteins Suggest They Belong to a New Class of Lipid Transfer Proteins. Frontiers in Cell and Developmental Biology. 10. 826688–826688. 19 indexed citations
4.
Li, Lei, Haowen Liu, Janet E. Richmond, et al.. (2021). A novel dual Ca2+ sensor system regulates Ca2+-dependent neurotransmitter release. The Journal of Cell Biology. 220(4). 15 indexed citations
5.
Weeratunga, Saroja, Blessy Paul, & Brett M. Collins. (2020). Recognising the signals for endosomal trafficking. Current Opinion in Cell Biology. 65. 17–27. 47 indexed citations
6.
Simonetti, Boris, Blessy Paul, Karina Chaudhari, et al.. (2019). Molecular identification of a BAR domain-containing coat complex for endosomal recycling of transmembrane proteins. Nature Cell Biology. 21(10). 1219–1233. 83 indexed citations
7.
Blum, Ailisa, Mercè Salla‐Martret, Ye Jin Chai, et al.. (2019). VAMP2 Binding to Munc18-1 Domain 3a Controls the Nanoscale Reorganization of the Plasma Membrane and Vesicle Interface During Vesicular Priming. SSRN Electronic Journal. 3 indexed citations
8.
Weeratunga, Saroja, Asiah Osman, Nien‐Jen Hu, et al.. (2012). Alpha-1 Giardin is an Annexin with Highly Unusual Calcium-Regulated Mechanisms. Journal of Molecular Biology. 423(2). 169–181. 19 indexed citations
9.
Weeratunga, Saroja, Nien‐Jen Hu, Anne E. Simon, & Andreas Hofmann. (2012). SDAR: a practical tool for graphical analysis of two-dimensional data. BMC Bioinformatics. 13(1). 201–201. 23 indexed citations
10.
Wang, Conan K., et al.. (2012). SBAL: a practical tool to generate and edit structure-based amino acid sequence alignments. Bioinformatics. 28(7). 1026–1027. 22 indexed citations
12.
Wang, Conan K., et al.. (2011). DMAN: a Java tool for analysis of multi-well differential scanning fluorimetry experiments. Bioinformatics. 28(3). 439–440. 32 indexed citations
13.
Weeratunga, Saroja, Scott Lovell, Huili Yao, et al.. (2010). Structural Studies of Bacterioferritin B from Pseudomonas aeruginosa Suggest a Gating Mechanism for Iron Uptake via the Ferroxidase Center,. Biochemistry. 49(6). 1160–1175. 60 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026