David Chan

3.0k citations
85 papers · 1.2k · h-index 22

Impact in

  • Oncology top 5%
    • Lung Cancer Research Studies
    • Pancreatic and Hepatic Oncology Research
    • Colorectal Cancer Treatments and Studies
  • Neurology top 5%
    • Neuroblastoma Research and Treatments

Papers in

    • Lung Cancer Research Studies 39
    • Pancreatic and Hepatic Oncology Research 11
    • Colorectal Cancer Treatments and Studies 7
    • Neuroendocrine Tumor Research Advances 43

David Chan

81 papers receiving 1.2k citations

Peers

David Chan
Comparison fields: 5 of 98
  • Oncology 869
  • Neurology 394
  • Epidemiology 557
  • Cancer Research 194
  • Pulmonary and Respiratory Medicine 289
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Citations per field
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Citations per year

Countries citing papers authored by David Chan

Since Specialization
Citations

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

Fields of papers citing papers by David Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Chan. 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 David Chan. The network helps show where David Chan may publish in the future.

Co-authors

The 25 scholars most cited alongside David Chan, 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 David Chan Line = papers co-authored together David Chan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019154
2 201779
3 201771
4 201663
5 202248
6 201745
7 201743
8 199742
9 201735
10 201631
11 202128
12 202026
13 202125
14 202324
15 201824
16 201924
17 201424
18 202123
19 201523
20 202222

About David Chan

David Chan is a scholar working on Oncology, Epidemiology, Neurology, Pulmonary and Respiratory Medicine and Surgery, having authored 85 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (43 papers), Lung Cancer Research Studies (39 papers), Neuroblastoma Research and Treatments (32 papers), Pancreatic and Hepatic Oncology Research (11 papers), Cancer Genomics and Diagnostics (9 papers), Lung Cancer Treatments and Mutations (9 papers), Colorectal Cancer Treatments and Studies (7 papers) and Gastric Cancer Management and Outcomes (6 papers). The work is most often cited by research in Oncology (869 citations), Neurology (394 citations), Epidemiology (557 citations), Cancer Research (194 citations) and Pulmonary and Respiratory Medicine (289 citations). David Chan has collaborated with scholars based in Australia, Canada and United States. Frequent co-authors include Nick Pavlakis, Simron Singh, Eva Segelov, Stephen Clarke, Calvin Law, Dale L. Bailey, Man Ken Cheung, Timothy Price, Paul Roach and Bob T. Li. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE, Neuroendocrinology, Cochrane Database of Systematic Reviews and Annals of 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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