Samuel Leung

25.6k citations
121 papers · 15.5k indexed · 10 hit papers · h-index 49

Samuel Leung

120 papers receiving 15.2k citations

Hit Papers

Supervised Risk Predictor of Breast Cancer Based on Intri...20082026201420202009200920082017201510002.0k3.0k

Peers

Samuel Leung
Comparison fields: 5 of 155
  • Cancer Research 7.0k
  • Oncology 6.7k
  • Molecular Biology 5.3k
  • Obstetrics and Gynecology 2.7k
  • Reproductive Medicine 2.3k
Replace Britta Weigelt with:
Britta Weigelt United States
Russell R. Broaddus United States
Douglas A. Levine United States
James D. Brenton United Kingdom
David G. Huntsman Canada
Lars A. Akslen Norway
Martin Köbel Canada
Bryan T. Hennessy Ireland
Panagiotis A. Konstantinopoulos United States
Sarina A. Piha‐Paul United States
Samuel Leung relative to Britta Weigelt United States Britta Weigelt's profile →
Citations per field
00.5×1.7×
Britta Weigelt · 1×
Citations per year

Countries citing papers authored by Samuel Leung

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Leung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Leung

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Leung. A scholar is included among the top collaborators of Samuel Leung based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Samuel Leung. Samuel Leung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 13
3 5
4 3
5 17
6 2
7 13
8 14
9 46
10 108
11 89
12 62
13 144
14 154
15 19
16 62
17 220
18 105
19
A Comparison of PAM50 Intrinsic Subtyping with Immunohistochemistry and Clinical Prognostic Factors in Tamoxifen-Treated Estrogen Receptor–Positive Breast Cancerbreakdown →
542
20 218

About Samuel Leung

Samuel Leung is a scholar working on Obstetrics and Gynecology, Cancer Research and Reproductive Medicine, having authored 121 papers that have together received 15.5k indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (31 papers), Breast Cancer Treatment Studies (31 papers) and HER2/EGFR in Cancer Research (25 papers). The work is most often cited by research in Cancer Research (7.0k citations), Obstetrics and Gynecology (2.7k citations) and Reproductive Medicine (2.3k citations). Samuel Leung has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Torsten O. Nielsen, Maggie C.U. Cheang, Charles M. Perou, David Voduc, Matthew J. Ellis, Philip S. Bernard, Joel S. Parker, Sherri R. Davies, Dongxia Gao and Stephen Chia. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical 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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