Tan Min Chin

3.1k total citations · 1 hit paper
14 papers, 1.6k citations indexed

About

Tan Min Chin is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research and Molecular Biology. According to data from OpenAlex, Tan Min Chin has authored 14 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 8 papers in Cancer Research and 5 papers in Molecular Biology. Recurrent topics in Tan Min Chin's work include Lung Cancer Treatments and Mutations (8 papers), Cancer Genomics and Diagnostics (5 papers) and RNA modifications and cancer (2 papers). Tan Min Chin is often cited by papers focused on Lung Cancer Treatments and Mutations (8 papers), Cancer Genomics and Diagnostics (5 papers) and RNA modifications and cancer (2 papers). Tan Min Chin collaborates with scholars based in Singapore, United States and United Kingdom. Tan Min Chin's co-authors include Dana W.Y. Tsui, Alvin Wong, Tim Forshew, Francesco Marass, Davina Gale, Nitzan Rosenfeld, Carlos Caldas, Muhammed Murtaza, Sean Humphray and Zoya Kingsbury and has published in prestigious journals such as Nature, Cancer Research and Clinical Cancer Research.

In The Last Decade

Tan Min Chin

14 papers receiving 1.6k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Non-invasive analysis of acquired resistance to cancer therapy by sequencing of plasma DNA

2013 1.2k citations Muhammed Murtaza, Sarah‐Jane Dawson et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tan Min Chin Singapore	9	1.2k	747	691	671	268	14	1.6k
Nora Feeney United States	8	959 0.8×	1.1k 1.5×	772 1.1×	516 0.8×	245 0.9×	11	1.5k
Atocha Romero Spain	20	767 0.6×	453 0.6×	567 0.8×	612 0.9×	240 0.9×	66	1.4k
Ana Giménez‐Capitán Spain	22	592 0.5×	879 1.2×	930 1.3×	954 1.4×	167 0.6×	77	1.9k
Justin N. Carter United States	6	746 0.6×	435 0.6×	357 0.5×	465 0.7×	198 0.7×	10	1.1k
Siddhartha Devarakonda United States	15	488 0.4×	801 1.1×	649 0.9×	484 0.7×	115 0.4×	56	1.3k
Jianchun Duan China	23	673 0.5×	1.1k 1.4×	1.0k 1.5×	511 0.8×	139 0.5×	96	1.7k
Tsveta Milenkova United Kingdom	15	546 0.4×	906 1.2×	1.0k 1.5×	467 0.7×	150 0.6×	32	1.5k
Yi-Zhou Jiang China	23	827 0.7×	282 0.4×	648 0.9×	681 1.0×	172 0.6×	41	1.5k
Rose McCormack United Kingdom	11	1.1k 0.9×	1.7k 2.3×	1.1k 1.5×	444 0.7×	207 0.8×	11	2.0k
Lynne D. Berry United States	17	431 0.3×	1.1k 1.4×	940 1.4×	798 1.2×	153 0.6×	33	1.8k

Countries citing papers authored by Tan Min Chin

Since Specialization

Citations

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

Fields of papers citing papers by Tan Min Chin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tan Min Chin

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

All Works

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14 of 14 papers shown

Samol, Jens, Jonathan Poh, Min-Han Tan, et al.. (2025). Prospective Multicenter Study Evaluating a Combined Circulating Tumor DNA and Circulating Tumor RNA Liquid Biopsy in Metastatic Non–Small Cell Lung Cancer (LIQUIK). JCO Precision Oncology. 9(9). e2500181–e2500181. 4 indexed citations

Shen, Tingliang, Jiayi Fan, Tan Min Chin, et al.. (2025). Engineering resistance genes against tomato brown rugose fruit virus. Science China Life Sciences. 68(11). 3392–3400. 3 indexed citations

Ali, Azhar, Elena Levantini, Chee Wai Fhu, et al.. (2019). CAV1 - GLUT3 signaling is important for cellular energy and can be targeted by Atorvastatin in Non-Small Cell Lung Cancer. Theranostics. 9(21). 6157–6174. 34 indexed citations

Ali, Azhar, Elena Levantini, Julian Goggi, et al.. (2018). Fatty acid synthase mediates EGFR palmitoylation in EGFR mutated non‐small cell lung cancer. EMBO Molecular Medicine. 10(3). 138 indexed citations

Tsui, Dana W.Y., Muhammed Murtaza, Alvin Wong, et al.. (2018). Dynamics of multiple resistance mechanisms in plasma DNA during EGFR‐targeted therapies in non‐small cell lung cancer. EMBO Molecular Medicine. 10(6). 52 indexed citations

Tan, Eng Huat, et al.. (2017). Management of epidermal growth factor receptor tyrosine kinase inhibitor‐related cutaneous and gastrointestinal toxicities. Asia-Pacific Journal of Clinical Oncology. 14(1). 23–31. 48 indexed citations

Shi, Jun, Jamie Mong, Tan Min Chin, et al.. (2017). EGFR mutation detection in plasma cell-free DNA correlates with clinical outcomes in non-small cell lung cancer. Annals of Oncology. 28. v476–v477. 1 indexed citations

Ali, Azhar, et al.. (2016). Dioxonaphthoimidazoliums AB1 and YM155 disrupt phosphorylation of p50 in the NF-κB pathway. Oncotarget. 7(10). 11625–11636. 9 indexed citations

Sia, Ching‐Hui, Joline S.J. Lim, Kian Keong Poh, & Tan Min Chin. (2016). A classical case of non-bacterial thrombotic endocarditis from pancreatic adenocarcinoma presenting as multiple strokes, myocardial infarction and acute limb ischaemia. Oxford Medical Case Reports. 2016(11). omw084–omw084. 6 indexed citations

10.

Sudo, Makoto, Tan Min Chin, Seiichi Mori, et al.. (2013). Inhibiting proliferation of gefitinib-resistant, non-small cell lung cancer. Cancer Chemotherapy and Pharmacology. 71(5). 1325–1334. 23 indexed citations

11.

Murtaza, Muhammed, Sarah‐Jane Dawson, Dana W.Y. Tsui, et al.. (2013). Non-invasive analysis of acquired resistance to cancer therapy by sequencing of plasma DNA. Nature. 497(7447). 108–112. 1219 indexed citations breakdown →

12.

Zhang, Wen Cai, Boon-Seng Soh, Li Sun, et al.. (2011). Abstract 487: Evidence for tumor initiating stem cells in lung cancer. Cancer Research. 71(8_Supplement). 487–487. 1 indexed citations

13.

Chin, Tan Min, Margaret P. Quinlan, Anurag Singh, et al.. (2008). Reduced Erlotinib Sensitivity of Epidermal Growth Factor Receptor-Mutant Non–Small Cell Lung Cancer following Cisplatin Exposure: A Cell Culture Model of Second-line Erlotinib Treatment. Clinical Cancer Research. 14(21). 6867–6876. 40 indexed citations

14.

Chin, Tan Min, Ross A. Soo, Manuel Salto‐Tellez, et al.. (2006). Detection of Epidermal Growth Factor Receptor Variations by Partially Denaturing HPLC. Clinical Chemistry. 53(1). 62–70. 35 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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