David Chan

497 citations
23 papers · 377 · h-index 7

Impact in

  • Oncology top 10%
    • Inflammatory Biomarkers in Disease Prognosis
    • Cancer Immunotherapy and Biomarkers
    • Colorectal Cancer Surgical Treatments
    • Cancer, Lipids, and Metabolism

Papers in

    • Lung Cancer Research Studies 5
    • Inflammatory Biomarkers in Disease Prognosis 4
    • Cancer Treatment and Pharmacology 2
    • Neuroendocrine Tumor Research Advances 8

David Chan

22 papers receiving 375 citations

Peers

David Chan
Comparison fields: 5 of 44
  • Oncology 287
  • Cancer Research 107
  • Hepatology 27
  • Pulmonary and Respiratory Medicine 82
  • Surgery 90
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Guochen Duan China
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Ina Nordman Australia
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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 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016248
2 201738
3 201518
4 202114
5 201410
6 20208
7 20217
8 20176
9 20145
10 20183
11 20163
12 20063
13 20162
14 20242
15 20242
16 20162
17 20111
18 20241
19
Dual 18F-fluorodeoxyglucose/68Gallium DOTATATE (FDG/DOTA) PET grading and histological grade in neuroendocrine tumours (NET)
20161
20 20161

About David Chan

David Chan is a scholar working on Oncology, Epidemiology, Radiology, Nuclear Medicine and Imaging, Neurology and Pulmonary and Respiratory Medicine, having authored 23 papers that have together received 377 indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (8 papers), Medical Imaging Techniques and Applications (7 papers), Radiopharmaceutical Chemistry and Applications (5 papers), Lung Cancer Research Studies (5 papers), Neuroblastoma Research and Treatments (5 papers), Inflammatory Biomarkers in Disease Prognosis (4 papers), Cancer, Lipids, and Metabolism (3 papers) and Cancer Treatment and Pharmacology (2 papers). The work is most often cited by research in Oncology (287 citations), Cancer Research (107 citations), Hepatology (27 citations), Pulmonary and Respiratory Medicine (82 citations) and Surgery (90 citations). David Chan has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Nick Pavlakis, Stephen Clarke, Alexander Engel, Connie I. Diakos, Anthony J. Gill, Joseph Chan, Dale L. Bailey, Kathy Willowson, Jason Kaplan and Gary Gordon. Their work appears in journals such as Journal of Clinical Oncology, Annals of Surgery, EJNMMI Physics, JAMA Oncology and Journal of Clinical Medicine.

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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