Pui San Tan
About
Pui San Tan is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Infectious Diseases.
According to data from OpenAlex, Pui San Tan has authored 39 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oncology, 14 papers in Pulmonary and Respiratory Medicine and 10 papers in Infectious Diseases. Recurrent topics in Pui San Tan's work include COVID-19 Clinical Research Studies (10 papers), Lung Cancer Treatments and Mutations (8 papers) and Influenza Virus Research Studies (4 papers). Pui San Tan is often cited by papers focused on COVID-19 Clinical Research Studies (10 papers), Lung Cancer Treatments and Mutations (8 papers) and Influenza Virus Research Studies (4 papers). Pui San Tan collaborates with scholars based in United Kingdom, United States and Singapore. Pui San Tan's co-authors include Benjamin Haaland, Julia Hippisley–Cox, Carol Coupland, Gilberto Lopes, Christopher Butler, Paul Aveyard, Peter Watkinson, David A Harrison, A. Sarah Walker and Duncan Young and has published in prestigious journals such as Science, Journal of Clinical Oncology and PLoS ONE.
In The Last Decade
Pui San Tan
38 papers receiving 1.8k citations
Hit Papers
Peers
Pui San Tan
Li Weng China
Cheng‐Yi Wang Taiwan
Antonino Giarratano Italy
Sanjeev Misra India
Noriko Kinoshita Japan
Daniele Piovani Italy
Ji Ye Jung South Korea
Aurélien Vesin France
Kimberly G. Blumenthal United States
Enmei Liu China
Citations per year, relative to Pui San Tan Pui San Tan (= 1×)
peers
Li Weng
Countries citing papers authored by Pui San Tan
Since
Specialization
Citations
This map shows the geographic impact of Pui San 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 Pui San Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pui San Tan more than expected).
Fields of papers citing papers by Pui San Tan
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Pui San 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 Pui San Tan. The network helps show where Pui San Tan may publish in the future.
Co-authorship network of co-authors of Pui San Tan
This figure shows the co-authorship network connecting the top 25 collaborators of Pui San Tan. A scholar is included among the top collaborators of Pui San 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 Pui San Tan. Pui San Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Clift, Ash Kieran, Pui San Tan, Martina Patone, et al.. (2024). Predicting the risk of pancreatic cancer in adults with new-onset diabetes: development and internal–external validation of a clinical risk prediction model. British Journal of Cancer. 130(12). 1969–1978.
2.
Tan, Pui San, Martina Patone, Ashley Kieran Clift, et al.. (2023). Factors influencing influenza, pneumococcal and shingles vaccine uptake and refusal in older adults: a population-based cross-sectional study in England. BMJ Open. 13(3). e058705–e058705.
3.
Zaccardi, Francesco, Pui San Tan, Baiju R. Shah, et al.. (2023). Ethnic disparities in COVID-19 outcomes: a multinational cohort study of 20 million individuals from England and Canada. BMC Public Health. 23(1). 399–399.
4.
Tan, Pui San, César Garriga, Ashley Kieran Clift, et al.. (2022). Temporality of body mass index, blood tests, comorbidities and medication use as early markers for pancreatic ductal adenocarcinoma (PDAC): a nested case–control study. Gut. 72(3). 512–521.
5.
Ranger, Tom A., Ashley Kieran Clift, Xue W. Mei, et al.. (2021). Hormone replacement therapy and cancer survival: a longitudinal cohort study: protocol paper. BMJ Open. 11(8). e046701–e046701.
6.
Clift, Ashley Kieran, Pui San Tan, Hannah Sallis, et al.. (2021). Smoking and COVID-19 outcomes: an observational and Mendelian randomisation study using the UK Biobank cohort. Thorax. 77(1). 65–73.
7.
Patone, Martina, Karen Thomas, Robert Alan Hatch, et al.. (2021). Mortality and critical care unit admission associated with the SARS-CoV-2 lineage B.1.1.7 in England: an observational cohort study. The Lancet Infectious Diseases. 21(11). 1518–1528.
8.
Aveyard, Paul, Min Gao, Nicola Lindson, et al.. (2021). Association between pre-existing respiratory disease and its treatment, and severe COVID-19: a population cohort study. The Lancet Respiratory Medicine. 9(8). 909–923.
9.
Goyder, Clare, Pui San Tan, Jan Y. Verbakel, et al.. (2020). Impact of point-of-care panel tests in ambulatory care: a systematic review and meta-analysis. BMJ Open. 10(2). e032132–e032132.
10.
Roope, Laurence, Richard Smith, Koen B. Pouwels, et al.. (2019). The challenge of antimicrobial resistance: What economics can contribute. Science. 364(6435).
11.
Verbakel, Jan Y., Joseph Lee, Clare Goyder, et al.. (2019). Impact of point-of-care C reactive protein in ambulatory care: a systematic review and meta-analysis. BMJ Open. 9(1). e025036–e025036.
12.
Aguiar, Pedro Nazareth, et al.. (2019). Cost-effectiveness analysis of abiraterone, docetaxel or placebo plus androgen deprivation therapy for hormone-sensitive advanced prostate cancer. Einstein (São Paulo). 17(2). eGS4414–eGS4414.
13.
Tan, Pui San, Pedro Nazareth Aguiar, Benjamin Haaland, & Gilberto Lopes. (2018). Addition of abiraterone, docetaxel, bisphosphonate, celecoxib or combinations to androgen-deprivation therapy (ADT) for metastatic hormone-sensitive prostate cancer (mHSPC): a network meta-analysis. Prostate Cancer and Prostatic Diseases. 21(4). 516–523.
14.
Lim, Ka Keat, Yu Heng Kwan, Pui San Tan, et al.. (2018). A Systematic Review and Meta-Analyses of the Association Between Anti-Hypertensive Classes and the Risk of Falls Among Older Adults. Drugs & Aging. 35(7). 625–635.
15.
Onakpoya, Igho, A. Sarah Walker, Pui San Tan, et al.. (2018). Overview of systematic reviews assessing the evidence for shorter versus longer duration antibiotic treatment for bacterial infections in secondary care. PLoS ONE. 13(3). e0194858–e0194858.
16.
Tan, Pui San, Pedro Nazareth Aguiar, Benjamin Haaland, & Gilberto Lopes. (2017). Comparative effectiveness of immune-checkpoint inhibitors for previously treated advanced non-small cell lung cancer – A systematic review and network meta-analysis of 3024 participants. Lung Cancer. 115. 84–88.
17.
Tan, Pui San, et al.. (2015). 444P Overall survival (OS) by EGFR mutation status and subtypes (Deletion 19/L858R) for first-line therapies with maintenance regimens in advanced non-small-cell lung cancer (NSCLC): a Bayesian multiple treatment comparison (MTC) meta-analysis. Annals of Oncology. 26. ix125–ix125.
18.
Tan, Pui San, Gilberto Lopes, Sanchalika Acharyya, Marcel Bilger, & Benjamin Haaland. (2015). Bayesian network meta-comparison of maintenance treatments for stage IIIb/IV non-small-cell lung cancer (NSCLC) patients with good performance status not progressing after first-line induction chemotherapy: Results by performance status, EGFR mutation, histology and response to previous induction. European Journal of Cancer. 51(16). 2330–2344.
19.
Haaland, Benjamin, Pui San Tan, Gilberto de Castro, & Gilberto Lopes. (2014). Meta-Analysis of First-Line Therapies in Advanced Non–Small-Cell Lung Cancer Harboring EGFR-Activating Mutations. Journal of Thoracic Oncology. 9(6). 805–811.
20.
Tan, Pui San, Benjamin Haaland, Alberto J. Montero, & Gilberto Lopes. (2013). A meta-analysis of anastrozole in combination with fulvestrant in the first line treatment of hormone receptor positive advanced breast cancer. Breast Cancer Research and Treatment. 138(3). 961–965.
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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