David Wan

428 citations
26 papers · 270 · h-index 8

Impact in

    • Radiomics and Machine Learning in Medical Imaging
    • Medical Imaging Techniques and Applications
    • Cancer Diagnosis and Treatment
    • Bone health and treatments
    • Colorectal Cancer Treatments and Studies

Papers in

David Wan

23 papers receiving 261 citations

Peers

David Wan
Comparison fields: 5 of 65
  • Radiology, Nuclear Medicine and Imaging 78
  • Oncology 76
  • Neurology 30
  • Pulmonary and Respiratory Medicine 60
  • Surgery 81
Replace Matthew Burke with:
Matthew Burke United Kingdom
Zheng Shi China
Dietmar Cholewa Switzerland
Peter Robins Australia
Maurits P. Engbersen Netherlands
Jonathan S. Lewin United States
Maggie S.H. Cheung Hong Kong
Zhenguang Wang China
Tomonori Murayama Japan
Chaoyang Liang China
David Wan relative to Matthew Burke United Kingdom Matthew Burke's profile →
Citations per field
00.5×1.5×2.2×
Matthew Burke · 1×
Citations per year

Countries citing papers authored by David Wan

Since Specialization
Citations

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

Fields of papers citing papers by David Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202082
2 200973
3 201523
4 201217
5 200812
6 200911
7 20079
8 20207
9 20116
10 20116
11 20195
12 20193
13 20213
14 20182
15 20252
16 20102
17 20221
18 20201
19 20161
20
Impact of bone SPECT-CT imaging on evaluation of lower extremities' pathology
20111

About David Wan

David Wan is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Oncology, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 26 papers that have together received 270 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (4 papers), Medical Imaging and Pathology Studies (3 papers), Neurological disorders and treatments (3 papers), Cancer Diagnosis and Treatment (3 papers), Natural Language Processing Techniques (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Hernia repair and management (2 papers) and Radiopharmaceutical Chemistry and Applications (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (78 citations), Oncology (76 citations), Neurology (30 citations), Pulmonary and Respiratory Medicine (60 citations) and Surgery (81 citations). David Wan has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Bruce J. Barron, Isis Gayed, David T. Fetzer, Ming Yue, Ning Wu, Xiang Wang, Yalun Li, Cai‐Ying Li, Nan Wu and Zhihong Wu. Their work appears in journals such as The American Journal of Gastroenterology, Journal of Pediatric Gastroenterology and Nutrition, PeerJ, BMC Cancer and Cancer Management and Research.

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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