Aung Ko Win

12.7k total citations
113 papers, 3.2k citations indexed

About

Aung Ko Win is a scholar working on Pathology and Forensic Medicine, Oncology and Cancer Research. According to data from OpenAlex, Aung Ko Win has authored 113 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Pathology and Forensic Medicine, 68 papers in Oncology and 19 papers in Cancer Research. Recurrent topics in Aung Ko Win's work include Genetic factors in colorectal cancer (82 papers), Colorectal Cancer Screening and Detection (55 papers) and Colorectal Cancer Treatments and Studies (23 papers). Aung Ko Win is often cited by papers focused on Genetic factors in colorectal cancer (82 papers), Colorectal Cancer Screening and Detection (55 papers) and Colorectal Cancer Treatments and Studies (23 papers). Aung Ko Win collaborates with scholars based in Australia, United States and Canada. Aung Ko Win's co-authors include Mark A. Jenkins, Daniel D. Buchanan, Noralane M. Lindor, John L. Hopper, Polly A. Newcomb, Christophe Rosty, Mark Clendenning, John A. Baron, Joanne Young and Amanda I. Phipps and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and JNCI Journal of the National Cancer Institute.

In The Last Decade

Aung Ko Win

105 papers receiving 3.1k citations

Peers

Aung Ko Win
Seok Won Kim South Korea
Marcia Cruz‐Correa United States
Elena M. Stoffel United States
Amanda I. Phipps United States
Gregory J. Kirkner United States
Baljit Singh United Kingdom
Adnan Ghafoor United States
Seok Won Kim South Korea
Aung Ko Win
Citations per year, relative to Aung Ko Win Aung Ko Win (= 1×) peers Seok Won Kim

Countries citing papers authored by Aung Ko Win

Since Specialization
Citations

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

Fields of papers citing papers by Aung Ko Win

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aung Ko Win. 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 Aung Ko Win. The network helps show where Aung Ko Win may publish in the future.

Co-authorship network of co-authors of Aung Ko Win

This figure shows the co-authorship network connecting the top 25 collaborators of Aung Ko Win. A scholar is included among the top collaborators of Aung Ko Win 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 Aung Ko Win. Aung Ko Win 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.
Lam, A., James G. Dowty, Fonnet E. Bleeker, et al.. (2025). Cancer risks for MSH6 pathogenic variant carriers. European Journal of Cancer. 231. 116098–116098.
2.
Zhang, Y., Amalia Karahalios, Aung Ko Win, et al.. (2025). A prediction model for metachronous colorectal cancer: development and validation. JNCI Journal of the National Cancer Institute. 117(10). 2082–2088.
3.
Zhang, Y., Aung Ko Win, Enes Makalic, et al.. (2024). Associations between pathological features and risk of metachronous colorectal cancer. International Journal of Cancer. 155(6). 1023–1032. 2 indexed citations
4.
Lai, John, Daniel F. Schmidt, Robert J. MacInnis, et al.. (2023). Using DEPendency of Association on the Number of Top Hits (DEPTH) as a Complementary Tool to Identify Novel Colorectal Cancer Susceptibility Loci. Cancer Epidemiology Biomarkers & Prevention. 32(9). 1153–1159.
5.
Zheng, Yingye, Xinwei Hua, Aung Ko Win, et al.. (2020). A New Comprehensive Colorectal Cancer Risk Prediction Model Incorporating Family History, Personal Characteristics, and Environmental Factors. Cancer Epidemiology Biomarkers & Prevention. 29(3). 549–557. 25 indexed citations
6.
Dai, Xin, Dinh Bui, Jennifer L. Perret, et al.. (2020). Exposure to household air pollution over 10 years is related to asthma and lung function decline. European Respiratory Journal. 57(1). 2000602–2000602. 18 indexed citations
7.
Buchanan, Daniel D., Mark Clendenning, Christophe Rosty, et al.. (2018). Risk of colorectal cancer for carriers of a germ-line mutation in POLE or POLD1 (vol 20, pg 890, 2018). Genetics in Medicine. 20(10). 3 indexed citations
8.
Parry, Susan, Randall W. Burt, Aung Ko Win, et al.. (2017). Reducing the polyp burden in serrated polyposis by serial colonoscopy: the impact of nationally coordinated community surveillance.. PubMed. 130(1451). 57–67. 11 indexed citations
9.
Wang, Fan, Robert W. Rapkins, Robyn L. Ward, et al.. (2016). SNP rs16906252C>T Is an Expression and Methylation Quantitative Trait Locus Associated with an Increased Risk of Developing MGMT -Methylated Colorectal Cancer. Clinical Cancer Research. 22(24). 6266–6277. 20 indexed citations
10.
Salomon, Matthew P., Christopher K. Edlund, John L. Morrison, et al.. (2016). GWASeq: targeted re-sequencing follow up to GWAS. BMC Genomics. 17(1). 176–176. 17 indexed citations
11.
Usher‐Smith, Juliet A., Fiona M Walter, Jon Emery, Aung Ko Win, & Simon J. Griffin. (2015). Risk Prediction Models for Colorectal Cancer: A Systematic Review. Cancer Prevention Research. 9(1). 13–26. 125 indexed citations
12.
Hardikar, Sheetal, Polly A. Newcomb, Peter T. Campbell, et al.. (2015). Prediagnostic Physical Activity and Colorectal Cancer Survival: Overall and Stratified by Tumor Characteristics. Cancer Epidemiology Biomarkers & Prevention. 24(7). 1130–1137. 30 indexed citations
13.
Win, Aung Ko, James G. Dowty, Daniel D. Buchanan, et al.. (2015). 1054 Risk of extracolonic cancers for people with biallelic and monoallelic mutations in MUTYH. European Journal of Cancer. 51. S163–S163. 9 indexed citations
14.
Perera, Eshini, Neiraja Gnaneswaran, Carolyn Staines, Aung Ko Win, & Rod Sinclair. (2015). Incidence and prevalence of non‐melanoma skin cancer in Australia: A systematic review. Australasian Journal of Dermatology. 56(4). 258–267. 153 indexed citations
15.
Chau, Rowena, Mark A. Jenkins, Daniel D. Buchanan, et al.. (2015). Determining the familial risk distribution of colorectal cancer: a data mining approach. Familial Cancer. 15(2). 241–251. 7 indexed citations
16.
Jenkins, Mark A., James G. Dowty, Driss Ait Ouakrim, et al.. (2014). Short-Term Risk of Colorectal Cancer in Individuals With Lynch Syndrome: A Meta-Analysis. Journal of Clinical Oncology. 33(4). 326–331. 24 indexed citations
17.
Walsh, Michael D., Mark Clendenning, Elizabeth Williamson, et al.. (2013). Expression of MUC2, MUC5AC, MUC5B, and MUC6 mucins in colorectal cancers and their association with the CpG island methylator phenotype. Modern Pathology. 26(12). 1642–1656. 122 indexed citations
18.
Phipps, Amanda I., Daniel D. Buchanan, Karen W. Makar, et al.. (2012). BRAF Mutation Status and Survival after Colorectal Cancer Diagnosis According to Patient and Tumor Characteristics. Cancer Epidemiology Biomarkers & Prevention. 21(10). 1792–1798. 97 indexed citations
19.
Win, Aung Ko, James G. Dowty, Yoland Antill, et al.. (2011). Body Mass Index in Early Adulthood and Endometrial Cancer Risk for Mismatch Repair Gene Mutation Carriers. Obstetrics and Gynecology. 117(4). 899–905. 14 indexed citations
20.
Win, Aung Ko, John L. Hopper, & Mark A. Jenkins. (2010). Association between monoallelic MUTYH mutation and colorectal cancer risk: a meta-regression analysis. Familial Cancer. 10(1). 1–9. 53 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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