Patrick Tan

3.2k citations
24 papers · 800 indexed · h-index 14

Impact in

    • Cancer Genomics and Diagnostics
  • Oncology top 10%
    • Cancer survivorship and care
    • Colorectal Cancer Surgical Treatments

Papers in

    • Cancer survivorship and care 5
    • Colorectal Cancer Surgical Treatments 3
    • Lymphatic System and Diseases 2
    • Gene expression and cancer classification 5
    • Genomics and Phylogenetic Studies 2

Patrick Tan

24 papers receiving 777 citations

Peers

Patrick Tan
Comparison fields: 5 of 104
  • Cancer Research 146
  • Oncology 234
  • Molecular Biology 369
  • Pulmonary and Respiratory Medicine 173
  • Applied Psychology 23
Replace Jingxuan Shan with:
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Patrick Tan relative to Jingxuan Shan Qatar Jingxuan Shan's profile →
Citations per field
00.5×3.8×
Jingxuan Shan · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Patrick Tan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Patrick Tan Line = papers co-authored together Patrick Tan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002187
2 2004118
3
A combined comparative genomic hybridization and expression microarray analysis of gastric cancer reveals novel molecular subtypes.
2003102
4 200962
5 201945
6 201444
7 200939
8 201428
9 201827
10
Feasibility of using low-volume tissue samples for gene expression profiling of advanced non-small cell lung cancers.
200327
11 200621
12 200519
13 202117
14 200716
15 201912
16 201411
17 20198
18 20045
19
Support Vector Machine approach for cancer detection using Amplified Fragment length Polymorphism (AFLP) screening method
20044
20 20184

About Patrick Tan

Patrick Tan is a scholar working on Oncology, Molecular Biology, Surgery, Cancer Research and Pulmonary and Respiratory Medicine, having authored 24 papers that have together received 800 indexed citations. Recurring topics across this work include Cancer survivorship and care (5 papers), Gene expression and cancer classification (5 papers), Colorectal Cancer Surgical Treatments (3 papers), Cancer Genomics and Diagnostics (3 papers), Physical Activity and Health (3 papers), Lymphatic System and Diseases (2 papers), Genomics and Phylogenetic Studies (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Cancer Research (146 citations), Oncology (234 citations), Molecular Biology (369 citations), Pulmonary and Respiratory Medicine (173 citations) and Applied Psychology (23 citations). Patrick Tan has collaborated with scholars based in Singapore, Australia and United Kingdom. Frequent co-authors include Chia-Huey Ooi, Cameron Platell, Boon‐Huat Bay, Jeanie Wu, Puay‐Hoon Tan, George W. Yip, Kuo-Bin Li, Sathiyamoorthy Selvarajan, Paul Salama and Gregory Makin. Their work appears in journals such as ANZ Journal of Surgery, Journal of Thoracic Oncology, Journal of Clinical Oncology, Blood and Psycho-Oncology.

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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