Sandya Liyanarachchi

8.9k citations
86 papers · 5.4k indexed · 1 hit paper · h-index 40

Sandya Liyanarachchi

84 papers receiving 5.3k citations

Hit Papers

The role of microRNA genes in papillary thyroid carcinoma9802005202620122019250500750

Peers

Sandya Liyanarachchi
Comparison fields: 5 of 128
  • Cancer Research 2.1k
  • Endocrinology, Diabetes and Metabolism 918
  • Molecular Biology 3.5k
  • Oncology 860
  • Genetics 755
Replace Mitsuru Emi with:
Mitsuru Emi Japan
Masahiko Miura Japan
Valentine M. Macaulay United Kingdom
Jaume Reventós Spain
Mario A. Anzano United States
Dean B. Evans Switzerland
A Hittmair Austria
Bassem R. Haddad United States
Ralf Bützow Finland
Shafaat A. Rabbani Canada
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Citations per field
00.5×1.5×1.9×
Mitsuru Emi · 1×
Citations per year

Countries citing papers authored by Sandya Liyanarachchi

Since Specialization
Citations

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

Fields of papers citing papers by Sandya Liyanarachchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20245
4 20234
5 20203
6 202027
7 201914
8 201613
9 2012207
10 201152
11 2009260
12 2009103
13 2009115
14 200829
15 200856
16 2008107
17 200855
18 2007270
19 200734
20 2006118

About Sandya Liyanarachchi

Sandya Liyanarachchi is a scholar working on Cancer Research, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 86 papers that have together received 5.4k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (21 papers), Epigenetics and DNA Methylation (13 papers), Genetic factors in colorectal cancer (13 papers), RNA modifications and cancer (13 papers), BRCA gene mutations in cancer (9 papers), Cancer-related molecular mechanisms research (9 papers), Cancer-related gene regulation (7 papers) and DNA Repair Mechanisms (6 papers). The work is most often cited by research in Cancer Research (2.1k citations), Endocrinology, Diabetes and Metabolism (918 citations) and Molecular Biology (3.5k citations). Sandya Liyanarachchi has collaborated with scholars based in United States, Poland and Taiwan. Frequent co-authors include Albert de la Chapelle, Huiling He, Rebecca Nagy, Ramana V. Davuluri, Krystian Jażdżewski, Saul Suster, Richard T. Kloos, Matthew D. Ringel, Stefano Volinia and Wei Li. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Genetics.

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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