David Chan

503 citations
23 papers · 386 · h-index 7

Impact in

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

Papers in

    • Inflammatory Biomarkers in Disease Prognosis 5
    • Lung Cancer Research Studies 3
    • Cancer Treatment and Pharmacology 2
    • Neuroendocrine Tumor Research Advances 7

David Chan

22 papers receiving 384 citations

Peers

David Chan
Comparison fields: 5 of 38
  • Oncology 252
  • Cancer Research 39
  • Hepatology 14
  • Internal Medicine 5
  • Pulmonary and Respiratory Medicine 43
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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 2016252
2 201739
3 201518
4 202115
5 201412
6 20208
7 20217
8 20176
9 20145
10 20063
11 20243
12 20183
13 20163
14 20242
15 20162
16 20162
17 20191
18 20241
19 20111
20
Dual 18F-fluorodeoxyglucose/68Gallium DOTATATE (FDG/DOTA) PET grading and histological grade in neuroendocrine tumours (NET)
20161

About David Chan

David Chan is a scholar working on Oncology, Epidemiology, Neurology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 23 papers that have together received 386 indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (7 papers), Medical Imaging Techniques and Applications (6 papers), Inflammatory Biomarkers in Disease Prognosis (5 papers), Neuroblastoma Research and Treatments (4 papers), Lung Cancer Research Studies (3 papers), Radiopharmaceutical Chemistry and Applications (3 papers), Cancer Treatment and Pharmacology (2 papers) and Glioma Diagnosis and Treatment (2 papers). The work is most often cited by research in Oncology (252 citations), Cancer Research (39 citations), Hepatology (14 citations), Internal Medicine (5 citations) and Pulmonary and Respiratory Medicine (43 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, Joseph Chan, Anthony J. Gill, Dale L. Bailey, Kathy Willowson, Gary Gordon and Jayesh Desai. Their work appears in journals such as Journal of Clinical Oncology, Annals of Surgery, EJNMMI Physics, European Journal of Nuclear Medicine and Molecular Imaging and Pancreas.

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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