Sujith Weerasinghe

519 total citations
16 papers, 424 citations indexed

About

Sujith Weerasinghe is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Sujith Weerasinghe has authored 16 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Oncology and 4 papers in Cell Biology. Recurrent topics in Sujith Weerasinghe's work include Histone Deacetylase Inhibitors Research (6 papers), Protein Degradation and Inhibitors (5 papers) and Peptidase Inhibition and Analysis (5 papers). Sujith Weerasinghe is often cited by papers focused on Histone Deacetylase Inhibitors Research (6 papers), Protein Degradation and Inhibitors (5 papers) and Peptidase Inhibition and Analysis (5 papers). Sujith Weerasinghe collaborates with scholars based in United States, South Korea and China. Sujith Weerasinghe's co-authors include M. Bishr Omary, Mary Kay H. Pflum, Natasha T. Snider, Raymond Kwan, Guillermina Estiú, Jorge A. Iñiguez‐Lluhí, Harald Herrmann, Olaf Wiest, Peter J. Altshuler and Robert J. Fontana and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Hepatology.

In The Last Decade

Sujith Weerasinghe

16 papers receiving 419 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sujith Weerasinghe United States 13 281 109 83 66 54 16 424
Sharlene Washington United States 12 218 0.8× 37 0.3× 68 0.8× 29 0.4× 9 0.2× 23 365
Chenming Zeng China 12 304 1.1× 128 1.2× 60 0.7× 35 0.5× 20 0.4× 22 440
K. Lohitesh India 6 194 0.7× 18 0.2× 62 0.7× 55 0.8× 15 0.3× 7 319
Toshihiro Chikanishi Japan 10 337 1.2× 28 0.3× 37 0.4× 21 0.3× 104 1.9× 12 504
Sang Hyun Song South Korea 10 242 0.9× 18 0.2× 82 1.0× 26 0.4× 17 0.3× 22 396
Jung‐Min Shin South Korea 12 176 0.6× 97 0.9× 20 0.2× 21 0.3× 8 0.1× 37 435
Sami Benzina France 11 221 0.8× 25 0.2× 62 0.7× 35 0.5× 13 0.2× 17 341
Wenbin Hong China 5 173 0.6× 20 0.2× 31 0.4× 26 0.4× 19 0.4× 16 297
Jing-Yu Lang United States 7 198 0.7× 41 0.4× 83 1.0× 29 0.4× 68 1.3× 7 331

Countries citing papers authored by Sujith Weerasinghe

Since Specialization
Citations

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

Fields of papers citing papers by Sujith Weerasinghe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sujith Weerasinghe

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

All Works

16 of 16 papers shown
1.
Kwan, Raymond, Lu Chen, Min-Jung Park, et al.. (2023). The Role of Carbamoyl Phosphate Synthetase 1 as a Prognostic Biomarker in Patients With Acetaminophen-induced Acute Liver Failure. Clinical Gastroenterology and Hepatology. 21(12). 3060–3069.e8. 17 indexed citations
2.
Kwan, Raymond, Graham F. Brady, Sujith Weerasinghe, et al.. (2017). Hepatocyte-Specific Deletion of Mouse Lamin A/C Leads to Male-Selective Steatohepatitis. Cellular and Molecular Gastroenterology and Hepatology. 4(3). 365–383. 26 indexed citations
3.
Weerasinghe, Sujith, et al.. (2016). Mouse genetic background contributes to hepatocyte susceptibility to Fas-mediated apoptosis. Molecular Biology of the Cell. 27(20). 3005–3012. 8 indexed citations
4.
Weerasinghe, Sujith, et al.. (2016). Structural Requirements of Histone Deacetylase Inhibitors: SAHA Analogs Modified on the Hydroxamic Acid. Archiv der Pharmazie. 349(5). 373–382. 9 indexed citations
5.
Kwan, Raymond, Lu Chen, Guo‐Zhong Tao, et al.. (2015). PKC412 normalizes mutation‐related keratin filament disruption and hepatic injury in mice by promoting keratin–myosin binding. Hepatology. 62(6). 1858–1869. 25 indexed citations
6.
Weerasinghe, Sujith, et al.. (2014). Carbamoyl phosphate synthetase-1 is a rapid turnover biomarker in mouse and human acute liver injury. American Journal of Physiology-Gastrointestinal and Liver Physiology. 307(3). G355–G364. 37 indexed citations
7.
Weerasinghe, Sujith, Nam‐On Ku, Peter J. Altshuler, Raymond Kwan, & M. Bishr Omary. (2014). Mutation of keratin 18 caspase digestion sites interferes with filament reorganization and promotes hepatocyte leakiness and necrosis. Journal of Cell Science. 127(Pt 7). 1464–75. 31 indexed citations
8.
Snider, Natasha T., Nicholas W. Griggs, Amika Singla, et al.. (2013). CD73 (ecto-5′-nucleotidase) hepatocyte levels differ across mouse strains and contribute to mallory-denk body formation. Hepatology. 58(5). 1790–1800. 20 indexed citations
9.
Weerasinghe, Sujith, et al.. (2011). The structural requirements of histone deacetylase inhibitors: Suberoylanilide hydroxamic acid analogs modified at the C3 position display isoform selectivity. Bioorganic & Medicinal Chemistry Letters. 21(20). 6139–6142. 25 indexed citations
10.
Weerasinghe, Sujith, David S. Moons, Peter J. Altshuler, Yatrik M. Shah, & M. Bishr Omary. (2011). Fibrinogen-γ proteolysis and solubility dynamics during apoptotic mouse liver injury: Heparin prevents and treats liver damage. Hepatology. 53(4). 1323–1332. 26 indexed citations
11.
Snider, Natasha T., Sujith Weerasinghe, Amika Singla, et al.. (2011). Energy determinants GAPDH and NDPK act as genetic modifiers for hepatocyte inclusion formation. The Journal of Cell Biology. 195(2). 217–229. 27 indexed citations
12.
Snider, Natasha T., Sujith Weerasinghe, Jorge A. Iñiguez‐Lluhí, Harald Herrmann, & M. Bishr Omary. (2010). Keratin Hypersumoylation Alters Filament Dynamics and Is a Marker for Human Liver Disease and Keratin Mutation. Journal of Biological Chemistry. 286(3). 2273–2284. 61 indexed citations
13.
Weerasinghe, Sujith, et al.. (2010). A histone deacetylase-dependent screen in yeast. Bioorganic & Medicinal Chemistry. 18(21). 7586–7592. 4 indexed citations
14.
Pan, Po‐Shen, et al.. (2008). Synthesis and biological evaluation of histone deacetylase inhibitors that are based on FR235222: A cyclic tetrapeptide scaffold. Bioorganic & Medicinal Chemistry Letters. 18(8). 2549–2554. 17 indexed citations
15.
Weerasinghe, Sujith, Guillermina Estiú, Olaf Wiest, & Mary Kay H. Pflum. (2008). Residues in the 11 Å Channel of Histone Deacetylase 1 Promote Catalytic Activity: Implications for Designing Isoform-Selective Histone Deacetylase Inhibitors. Journal of Medicinal Chemistry. 51(18). 5542–5551. 49 indexed citations
16.
Weerasinghe, Sujith, et al.. (2007). Structural requirements of HDAC inhibitors: SAHA analogs functionalized adjacent to the hydroxamic acid. Bioorganic & Medicinal Chemistry Letters. 17(8). 2216–2219. 42 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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