Patrick Tan

47.1k total citations · 4 hit papers
232 papers, 12.3k citations indexed

About

Patrick Tan is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Patrick Tan has authored 232 papers receiving a total of 12.3k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Molecular Biology, 71 papers in Cancer Research and 62 papers in Oncology. Recurrent topics in Patrick Tan's work include Cancer Genomics and Diagnostics (34 papers), Gastric Cancer Management and Outcomes (30 papers) and Genetic factors in colorectal cancer (26 papers). Patrick Tan is often cited by papers focused on Cancer Genomics and Diagnostics (34 papers), Gastric Cancer Management and Outcomes (30 papers) and Genetic factors in colorectal cancer (26 papers). Patrick Tan collaborates with scholars based in Singapore, United States and Japan. Patrick Tan's co-authors include Khay Guan Yeoh, Na‐Yu Chia, Steve Rozen, Stuart K. Kim, Bin Tean Teh, Puay Hoon Tan, Iain Beehuat Tan, Kalpana Ramnarayanan, Heike I. Grabsch and Toshikazu Ushijima and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Patrick Tan

224 papers receiving 12.1k citations

Hit Papers

Genomic Loss of microRNA-... 2008 2026 2014 2020 2008 2015 2017 2020 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Patrick Tan 6.4k 3.6k 2.7k 1.8k 1.3k 232 12.3k
Shu Zheng 6.1k 1.0× 3.0k 0.8× 3.0k 1.1× 1.4k 0.8× 1.1k 0.9× 370 11.2k
Xin Wang 9.0k 1.4× 4.5k 1.3× 2.6k 0.9× 1.7k 0.9× 1.1k 0.8× 547 14.8k
Graeme I. Murray 5.5k 0.9× 3.6k 1.0× 4.4k 1.6× 1.2k 0.7× 1.1k 0.8× 197 12.0k
Adriana Heguy 6.9k 1.1× 2.9k 0.8× 3.2k 1.2× 2.3k 1.3× 730 0.6× 178 14.0k
Gang Chen 8.2k 1.3× 5.8k 1.6× 2.1k 0.8× 1.8k 1.0× 1.0k 0.8× 649 13.0k
Ya Cao 7.2k 1.1× 4.7k 1.3× 3.9k 1.4× 1.9k 1.0× 794 0.6× 311 12.6k
Zhigang Zhang 5.5k 0.9× 2.3k 0.7× 3.1k 1.2× 1.3k 0.7× 775 0.6× 428 12.0k
Yi-Xin Zeng 6.8k 1.1× 3.8k 1.1× 3.6k 1.3× 778 0.4× 789 0.6× 183 11.3k
Daisuke Aoki 3.6k 0.6× 2.0k 0.6× 2.5k 0.9× 917 0.5× 1.5k 1.2× 440 11.0k
Qunyuan Zhang 5.7k 0.9× 3.4k 1.0× 2.3k 0.8× 1.3k 0.7× 622 0.5× 41 10.4k

Countries citing papers authored by Patrick Tan

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrick Tan

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

All Works

20 of 20 papers shown
1.
Huang, Xi, Ley Moy Ng, Peiyong Guan, et al.. (2025). Effects of RARα ligand binding domain mutations on breast fibroepithelial tumor function and signaling. npj Breast Cancer. 11(1). 1–1.
2.
Wong, Sunny H. & Patrick Tan. (2024). A tough act to swallow: Streptococcus anginosus and gastric cancer. Cell Host & Microbe. 32(3). 291–293. 4 indexed citations
3.
Hoj, Jacob P., et al.. (2023). CBF-Beta Mitigates PI3K-Alpha–Specific Inhibitor Killing through PIM1 in PIK3CA -Mutant Gastric Cancer. Molecular Cancer Research. 21(11). 1148–1162. 7 indexed citations
4.
Liang, Yu, Di Wu, Hugh Gao, et al.. (2018). Clinical Utility of a STAT3-Regulated miRNA-200 Family Signature with Prognostic Potential in Early Gastric Cancer. Clinical Cancer Research. 24(6). 1459–1472. 39 indexed citations
6.
Lau, Wen Min, Eileen Teng, Kie Kyon Huang, et al.. (2017). Acquired Resistance to FGFR Inhibitor in Diffuse-Type Gastric Cancer through an AKT-Independent PKC-Mediated Phosphorylation of GSK3β. Molecular Cancer Therapeutics. 17(1). 232–242. 43 indexed citations
7.
Busuttil, Rita A., Joshy George, Richard W. Tothill, et al.. (2014). A Signature Predicting Poor Prognosis in Gastric and Ovarian Cancer Represents a Coordinated Macrophage and Stromal Response. Clinical Cancer Research. 20(10). 2761–2772. 65 indexed citations
8.
Itahana, Yoko, Na‐Yu Chia, Yonghui Wu, et al.. (2012). TP53 Genomic Status Regulates Sensitivity of Gastric Cancer Cells to the Histone Methylation Inhibitor 3-Deazaneplanocin A (DZNep). Clinical Cancer Research. 18(15). 4201–4212. 67 indexed citations
9.
Birkbak, Nicolai J., Aron C. Eklund, Qiyuan Li, et al.. (2011). Paradoxical Relationship between Chromosomal Instability and Survival Outcome in Cancer. Cancer Research. 71(10). 3447–3452. 258 indexed citations
10.
Das, Kakoli, Chia-Huey Ooi, Niantao Deng, et al.. (2011). Genomic Loss of miR-486 Regulates Tumor Progression and the OLFM4 Antiapoptotic Factor in Gastric Cancer. Clinical Cancer Research. 17(9). 2657–2667. 172 indexed citations
11.
Chantratita, Narisara, Drew A. Rholl, Bernice Sim, et al.. (2011). Antimicrobial resistance to ceftazidime involving loss of penicillin-binding protein 3 in Burkholderia pseudomallei. Proceedings of the National Academy of Sciences. 108(41). 17165–17170. 90 indexed citations
12.
Zang, Zhi Jiang, Choon Kiat Ong, Ioana Cutcutache, et al.. (2010). Genetic and Structural Variation in the Gastric Cancer Kinome Revealed through Targeted Deep Sequencing. Cancer Research. 71(1). 29–39. 69 indexed citations
13.
Ganesan, Kumaresan, Tatiana Ivanova, Yonghui Wu, et al.. (2008). Inhibition of Gastric Cancer Invasion and Metastasis by PLA2G2A , a Novel β-Catenin/TCF Target Gene. Cancer Research. 68(11). 4277–4286. 88 indexed citations
14.
Varambally, Sooryanarayana, Qi Cao, Ram S. Mani, et al.. (2008). Genomic Loss of microRNA-101 Leads to Overexpression of Histone Methyltransferase EZH2 in Cancer. Science. 322(5908). 1695–1699. 833 indexed citations breakdown →
15.
Yu, Kun, Kumaresan Ganesan, Lance D. Miller, & Patrick Tan. (2006). A Modular Analysis of Breast Cancer Reveals a Novel Low-Grade Molecular Signature in Estrogen Receptor–Positive Tumors. Clinical Cancer Research. 12(11). 3288–3296. 32 indexed citations
16.
Aggarwal, Amit, Yujin Hoshida, Siu Tsan Yuen, et al.. (2006). Topological and Functional Discovery in a Gene Coexpression Meta-Network of Gastric Cancer. Cancer Research. 66(1). 232–241. 69 indexed citations
18.
Aggarwal, Amit, Siew Hong Leong, Cheryl Lee, Oi Lian Kon, & Patrick Tan. (2005). Wavelet Transformations of Tumor Expression Profiles Reveals a Pervasive Genome-Wide Imprinting of Aneuploidy on the Cancer Transcriptome. Cancer Research. 65(1). 186–194. 20 indexed citations
19.
Yu, Kun, et al.. (2004). A Molecular Signature of the Nottingham Prognostic Index in Breast Cancer. Cancer Research. 64(9). 2962–2968. 54 indexed citations
20.
Yu, Kun, et al.. (2004). Conservation of Breast Cancer Molecular Subtypes and Transcriptional Patterns of Tumor Progression Across Distinct Ethnic Populations. Clinical Cancer Research. 10(16). 5508–5517. 91 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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