Thushangi N. Pathiraja

532 total citations
7 papers, 198 citations indexed

About

Thushangi N. Pathiraja is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Thushangi N. Pathiraja has authored 7 papers receiving a total of 198 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Oncology. Recurrent topics in Thushangi N. Pathiraja's work include Epigenetics and DNA Methylation (5 papers), Genomics and Chromatin Dynamics (2 papers) and Estrogen and related hormone effects (2 papers). Thushangi N. Pathiraja is often cited by papers focused on Epigenetics and DNA Methylation (5 papers), Genomics and Chromatin Dynamics (2 papers) and Estrogen and related hormone effects (2 papers). Thushangi N. Pathiraja collaborates with scholars based in United States and Singapore. Thushangi N. Pathiraja's co-authors include Steffi Oesterreich, Vered Stearns, Ryan J. Hartmaier, Adrian V. Lee, Priya B. Shetty, Rong He, Jean‐Pierre J. Issa, Jaroslav Jelı́nek, Susan G. Hilsenbeck and Nancy E. Davidson and has published in prestigious journals such as Cancer Research, Oncogene and Clinical Cancer Research.

In The Last Decade

Thushangi N. Pathiraja

7 papers receiving 195 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thushangi N. Pathiraja United States 6 135 65 64 38 21 7 198
Damir Dosymbekov United States 2 160 1.2× 40 0.6× 27 0.4× 49 1.3× 15 0.7× 2 225
Jeffery M. Vahrenkamp United States 6 107 0.8× 58 0.9× 52 0.8× 62 1.6× 27 1.3× 11 199
Majdina Isovic Canada 9 292 2.2× 56 0.9× 56 0.9× 54 1.4× 24 1.1× 12 359
Winfried Steinberg Sweden 4 121 0.9× 17 0.3× 38 0.6× 57 1.5× 17 0.8× 5 213
Kyrie Pappas United States 5 92 0.7× 45 0.7× 48 0.8× 34 0.9× 7 0.3× 7 171
Katerina Kubelka‐Sabit North Macedonia 6 93 0.7× 45 0.7× 20 0.3× 45 1.2× 21 1.0× 21 183
N. Wake United Kingdom 6 217 1.6× 84 1.3× 35 0.5× 46 1.2× 11 0.5× 6 301
Alfonso Hisado-Oliva Spain 7 140 1.0× 160 2.5× 16 0.3× 21 0.6× 17 0.8× 7 247
Zachary C. Fogarty United States 9 139 1.0× 70 1.1× 29 0.5× 96 2.5× 26 1.2× 22 251
Dana Ziliak United States 8 236 1.7× 43 0.7× 33 0.5× 206 5.4× 21 1.0× 11 327

Countries citing papers authored by Thushangi N. Pathiraja

Since Specialization
Citations

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

Fields of papers citing papers by Thushangi N. Pathiraja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thushangi N. Pathiraja

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

All Works

7 of 7 papers shown
1.
Katz, Tiffany A., Serena G. Liao, Robert K. Dearth, et al.. (2015). Targeted DNA Methylation Screen in the Mouse Mammary Genome Reveals a Parity-Induced Hypermethylation of Igf1r That Persists Long after Parturition. Cancer Prevention Research. 8(10). 1000–1009. 18 indexed citations
2.
Nayak, Shweta, David N. Boone, Ryan J. Hartmaier, et al.. (2015). A Role for Histone H2B Variants in Endocrine-Resistant Breast Cancer. Hormones and Cancer. 6(5-6). 214–224. 32 indexed citations
3.
Pathiraja, Thushangi N., Kaushik N. Thakkar, Shiming Jiang, et al.. (2014). TRIM24 links glucose metabolism with transformation of human mammary epithelial cells. Oncogene. 34(22). 2836–2845. 44 indexed citations
4.
Pathiraja, Thushangi N., Priya B. Shetty, Jaroslav Jelı́nek, et al.. (2011). Progesterone Receptor Isoform-Specific Promoter Methylation: Association of PRA Promoter Methylation with Worse Outcome in Breast Cancer Patients. Clinical Cancer Research. 17(12). 4177–4186. 42 indexed citations
5.
Dearth, Robert K., David A. Delgado, Jill K. Hiney, et al.. (2010). Parity-Induced Decrease in Systemic Growth Hormone Alters Mammary Gland Signaling: A Potential Role in Pregnancy Protection from Breast Cancer. Cancer Prevention Research. 3(3). 312–321. 15 indexed citations
6.
Pathiraja, Thushangi N., Vered Stearns, & Steffi Oesterreich. (2010). Epigenetic Regulation in Estrogen Receptor Positive Breast Cancer—Role in Treatment Response. Journal of Mammary Gland Biology and Neoplasia. 15(1). 35–47. 46 indexed citations
7.
Pathiraja, Thushangi N., Yutao Xi, Richard J. Santen, et al.. (2009). Estrogen Deprivation Results in Altered DNA Methylation Profile in Breast Cancer Cells – Role in Endocrine Resistance?. Cancer Research. 69(24_Supplement). 5127–5127. 1 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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