Rohan Samarakoon

48 papers receiving 2.5k citations

Peers

Rohan Samarakoon
Comparison fields: 5 of 104
  • Nephrology 386
  • Cancer Research 479
  • Immunology and Allergy 123
  • Molecular Biology 1.1k
  • Cell Biology 224
Replace Chengsen Xue with:
Chengsen Xue United States
Hetty C. de Boer Netherlands
Damian Medici United States
Masamichi Ishizaki Japan
Monica Patricia Revelo United States
Nandini Ghosh‐Choudhury United States
Mark B. Ericksen United States
Bruce L. Riser United States
Azeddine Atfi France
Jinyang Zeng-Brouwers Germany
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Citations per field
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Citations per year

Countries citing papers authored by Rohan Samarakoon

Since Specialization
Citations

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

Fields of papers citing papers by Rohan Samarakoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rohan Samarakoon, 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 Rohan Samarakoon Line = papers co-authored together Rohan Samarakoon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012298
2 2011160
3 2013137
4 2011128
5 2017128
6
Integration of non-SMAD and SMAD signaling in TGF-beta1-induced plasminogen activator inhibitor type-1 gene expression in vascular smooth muscle cells.
200897
7 202193
8 200892
9 200890
10 201487
11 202285
12 201870
13 200868
14 201164
15 201963
16 201862
17 202360
18 201558
19 201957
20 200655

About Rohan Samarakoon

Rohan Samarakoon is a scholar working on Immunology and Allergy, Cancer Research, Nephrology, Molecular Biology and Cell Biology, having authored 48 papers that have together received 2.6k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (13 papers), Protease and Inhibitor Mechanisms (11 papers), Cell Adhesion Molecules Research (11 papers), Chronic Kidney Disease and Diabetes (9 papers), Renal and related cancers (9 papers), Connective Tissue Growth Factor Research (7 papers), Renal cell carcinoma treatment (5 papers) and Parathyroid Disorders and Treatments (4 papers). The work is most often cited by research in Nephrology (386 citations), Cancer Research (479 citations), Immunology and Allergy (123 citations), Molecular Biology (1.1k citations) and Cell Biology (224 citations). Rohan Samarakoon has collaborated with scholars based in United States, Netherlands and Spain. Frequent co-authors include Paul J. Higgins, Jessica M. Overstreet, Stephen Peter Higgins, Craig E. Higgins, Roel Goldschmeding, Jiaqi Tang, Ralf‐Peter Czekay, Cody C. Gifford, Kirstan K. Meldrum and Cynthia E. Wilkins-Port. Their work appears in journals such as The FASEB Journal, Cellular Signalling, Cancers, Journal of Investigative Dermatology and The Journal of Urology.

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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