David Leung

2.9k citations
65 papers · 1.3k · h-index 18

Impact in

Papers in

David Leung

55 papers receiving 1.2k citations

Peers

David Leung
Comparison fields: 5 of 114
  • Oncology 487
  • Radiology, Nuclear Medicine and Imaging 286
  • Nephrology 81
  • Pulmonary and Respiratory Medicine 353
  • Pharmaceutical Science 58
Replace See‐Tong Pang with:
See‐Tong Pang Taiwan
Alan B. Packard United States
Ulrich Beyer Switzerland
Guiyang Hao United States
Paul V. Woolley United States
Raghavan Rajagopalan United States
Jeongsoo Yoo South Korea
Li Bian China
Jingjing Song China
Ashfaq Mahmood United States
David Leung relative to See‐Tong Pang Taiwan See‐Tong Pang's profile →
Citations per field
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See‐Tong Pang · 1×
Citations per year

Countries citing papers authored by David Leung

Since Specialization
Citations

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

Fields of papers citing papers by David Leung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001140
2 2020128
3 2015120
4 201985
5 202173
6 199971
7 202060
8 200060
9 200059
10 202152
11 201445
12 200939
13 202131
14 202127
15 200120
16 201719
17 197719
18 202118
19 202316
20 201315

About David Leung

David Leung is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Surgery, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 65 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (11 papers), Bladder and Urothelial Cancer Treatments (10 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Radiopharmaceutical Chemistry and Applications (6 papers), Pancreatic and Hepatic Oncology Research (6 papers), Urinary and Genital Oncology Studies (5 papers), Cancer Genomics and Diagnostics (5 papers) and Prostate Cancer Treatment and Research (5 papers). The work is most often cited by research in Oncology (487 citations), Radiology, Nuclear Medicine and Imaging (286 citations), Nephrology (81 citations), Pulmonary and Respiratory Medicine (353 citations) and Pharmaceutical Science (58 citations). David Leung has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Ronald Breslow, Zhiwei Yang, David M. Wilson, Simon D. P. Baugh, Laurent Dercle, Wendy Hayes, Ronald Breslow, Lawrence H. Schwartz, Mary Jane Esplen and Sandro Belvedere. Their work appears in journals such as Journal of Clinical Oncology, Journal of Nuclear Medicine, European Urology Oncology, Cancer 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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