Siew C. Ng

55.7k total citations · 23 hit papers
412 papers, 30.3k citations indexed

About

Siew C. Ng is a scholar working on Genetics, Epidemiology and Surgery. According to data from OpenAlex, Siew C. Ng has authored 412 papers receiving a total of 30.3k indexed citations (citations by other indexed papers that have themselves been cited), including 165 papers in Genetics, 150 papers in Epidemiology and 129 papers in Surgery. Recurrent topics in Siew C. Ng's work include Inflammatory Bowel Disease (160 papers), Gut microbiota and health (104 papers) and Microscopic Colitis (100 papers). Siew C. Ng is often cited by papers focused on Inflammatory Bowel Disease (160 papers), Gut microbiota and health (104 papers) and Microscopic Colitis (100 papers). Siew C. Ng collaborates with scholars based in Hong Kong, China and United States. Siew C. Ng's co-authors include Francis K.L. Chan, Gilaad G. Kaplan, Joseph J.�Y. Sung, Fox E. Underwood, Michael A. Kamm, Whitney Tang, Subrata Ghosh, Hai Yun Shi, Remo Panaccione and Tao Zuo and has published in prestigious journals such as Nature, Cell and The Lancet.

In The Last Decade

Siew C. Ng

394 papers receiving 29.8k citations

Hit Papers

Worldwide incidence and prevalence of inflammatory bowel ... 2013 2026 2017 2021 2017 2017 2016 2020 2020 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Siew C. Ng Hong Kong 83 10.5k 10.1k 8.5k 7.5k 5.8k 412 30.3k
Çharles N. Bernstein Canada 91 10.6k 1.0× 18.1k 1.8× 9.1k 1.1× 14.5k 1.9× 3.7k 0.6× 744 40.6k
Gilaad G. Kaplan Canada 76 6.2k 0.6× 15.7k 1.6× 11.2k 1.3× 13.3k 1.8× 3.9k 0.7× 486 34.2k
R. Balfour Sartor United States 87 16.4k 1.6× 8.9k 0.9× 5.0k 0.6× 5.8k 0.8× 5.3k 0.9× 336 32.0k
Francis K.L. Chan Hong Kong 106 11.6k 1.1× 5.3k 0.5× 15.8k 1.9× 9.3k 1.2× 3.9k 0.7× 628 43.6k
Subrata Ghosh United Kingdom 81 5.1k 0.5× 17.1k 1.7× 8.5k 1.0× 12.2k 1.6× 2.8k 0.5× 590 31.0k
Gerhard Rogler Switzerland 76 7.7k 0.7× 11.0k 1.1× 6.9k 0.8× 7.6k 1.0× 1.4k 0.2× 645 26.9k
Cisca Wijmenga Netherlands 92 15.3k 1.5× 7.4k 0.7× 4.1k 0.5× 4.4k 0.6× 2.6k 0.4× 408 32.1k
Toshifumi Hibi∥ Japan 81 5.3k 0.5× 9.9k 1.0× 7.6k 0.9× 8.3k 1.1× 1.4k 0.2× 788 26.6k
Fergus Shanahan Ireland 113 24.1k 2.3× 7.8k 0.8× 5.9k 0.7× 6.8k 0.9× 5.2k 0.9× 623 46.3k
Ashwin N. Ananthakrishnan United States 76 4.4k 0.4× 11.6k 1.1× 5.8k 0.7× 10.6k 1.4× 3.7k 0.6× 498 22.5k

Countries citing papers authored by Siew C. Ng

Since Specialization
Citations

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

Fields of papers citing papers by Siew C. Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Siew C. Ng. 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 Siew C. Ng. The network helps show where Siew C. Ng may publish in the future.

Co-authorship network of co-authors of Siew C. Ng

This figure shows the co-authorship network connecting the top 25 collaborators of Siew C. Ng. A scholar is included among the top collaborators of Siew C. Ng 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 Siew C. Ng. Siew C. Ng 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.
Mahadevan, Uma, Cynthia H. Seow, Edward L. Barnes, et al.. (2025). Global Consensus Statement on the Management of Pregnancy in Inflammatory Bowel Disease. The American Journal of Gastroenterology. 121(1). 31–79. 2 indexed citations
3.
Solitano, Virginia, Çharles N. Bernstein, Iris Dotan, et al.. (2025). Shaping the future of inflammatory bowel disease: a global research agenda for better management and public health response. Nature Reviews Gastroenterology & Hepatology. 22(6). 438–452. 5 indexed citations
4.
5.
Danpanichkul, Pojsakorn, Kwanjit Duangsonk, Nathorn Chaiyakunapruk, et al.. (2024). Geographical and sociodemographic epidemiology of inflammatory bowel disease in young females from 2010 to 2019. Digestive and Liver Disease. 57(1). 190–197. 4 indexed citations
7.
Coward, Stephanie, Abdel Aziz Shaheen, Mark G. Swain, et al.. (2023). Incidence and Prevalence of Primary Sclerosing Cholangitis: A Meta-analysis of Population-based Studies. Inflammatory Bowel Diseases. 30(11). 2019–2026. 7 indexed citations
8.
Kaplan, Gilaad G., Fox E. Underwood, Stephanie Coward, et al.. (2022). The Multiple Waves of COVID-19 in Patients With Inflammatory Bowel Disease: A Temporal Trend Analysis. Inflammatory Bowel Diseases. 28(11). 1687–1695. 3 indexed citations
9.
Su, Qi, Qin Liu, Lin Zhang, et al.. (2022). Antibiotics and probiotics impact gut antimicrobial resistance gene reservoir in COVID-19 patients. Gut Microbes. 14(1). 2128603–2128603. 10 indexed citations
10.
Ng, Siew C., Ye Peng, Lin Zhang, et al.. (2022). Gut microbiota composition is associated with SARS-CoV-2 vaccine immunogenicity and adverse events. Gut. 71(6). 1106–1116. 111 indexed citations
11.
Berendsen, Erwin M., Emily C. Hoedt, Seungha Kang, et al.. (2021). Novel strain-level resolution of Crohn’s disease mucosa-associated microbiota via an ex vivo combination of microbe culture and metagenomic sequencing. The ISME Journal. 15(11). 3326–3338. 16 indexed citations
12.
Shah, Shailja C., Hamed Khalili, Chung‐Yu Chen, et al.. (2019). Sex‐based differences in the incidence of inflammatory bowel diseases—pooled analysis of population‐based studies from the Asia‐Pacific region. Alimentary Pharmacology & Therapeutics. 49(7). 904–911. 62 indexed citations
13.
Ng, Siew C., Moe H. Kyaw, Bing Yee Suen, et al.. (2019). Prospective colonoscopic study to investigate risk of colorectal neoplasms in first-degree relatives of patients with non-advanced adenomas. Gut. 69(2). 304–310. 5 indexed citations
14.
Coker, Olabisi Oluwabukola, Geicho Nakatsu, William Ka Kei Wu, et al.. (2018). Enteric fungal microbiota dysbiosis and ecological alterations in colorectal cancer. Gut. 68(4). 654–662. 357 indexed citations breakdown →
15.
Zuo, Tao, Sunny H. Wong, Kelvin Lam, et al.. (2017). Bacteriophage transfer during faecal microbiota transplantation in Clostridium difficile infection is associated with treatment outcome. Gut. 67(4). 634–643. 258 indexed citations
16.
Liang, Qiaoyi, Jonathan Chiu, Yingxuan Chen, et al.. (2016). Fecal Bacteria Act as Novel Biomarkers for Noninvasive Diagnosis of Colorectal Cancer. Clinical Cancer Research. 23(8). 2061–2070. 248 indexed citations
17.
Jin, Ye, Senwei Tang, Weilin Li, et al.. (2016). Hemolytic E. coli Promotes Colonic Tumorigenesis in Females. Cancer Research. 76(10). 2891–2900. 12 indexed citations
18.
Sung, Joseph J.�Y., Siew C. Ng, Francis K.L. Chan, et al.. (2014). An updated Asia Pacific Consensus Recommendations on colorectal cancer screening. Gut. 64(1). 121–132. 302 indexed citations
19.
Wu, Chung Wah, Siew C. Ng, Yujuan Dong, et al.. (2014). Identification of microRNA-135b in Stool as a Potential Noninvasive Biomarker for Colorectal Cancer and Adenoma. Clinical Cancer Research. 20(11). 2994–3002. 114 indexed citations
20.
Hart, AL & Siew C. Ng. (2010). Review article: the optimal medical management of acute severe ulcerative colitis. Alimentary Pharmacology & Therapeutics. 32(5). 615–627. 24 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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