Sam Leung
Impact in
- Obstetrics and Gynecology top 5%
- Endometrial and Cervical Cancer Treatments
- Cancer Research top 10%
- Breast Cancer Treatment Studies
Papers in
-
- Endometrial and Cervical Cancer Treatments 3
-
- Ovarian cancer diagnosis and treatment 3
- Co-authors
- David G. Huntsman (3 shared papers)Karen A. Gelmon (2 shared papers)Ashish Rajput (2 shared papers)C. Blake Gilks (3 shared papers)Maggie C.U. Cheang (3 shared papers)Dmitry Turbin (1 shared paper)David Voduc (1 shared paper)Martin Gleave (2 shared papers)
- Journals
- Histopathology (1 paper)Clinical Cancer Research (1 paper)Journal of Clinical Pathology (1 paper)Oncotarget (1 paper)International Journal of Gynecological Cancer (1 paper)
- Partner nations
- CanadaAustraliaUnited States
In The Last Decade
Sam Leung
13 papers receiving 838 citations
Peers
Comparison fields: 5 of 74
- Obstetrics and Gynecology 128
- Cancer Research 207
- Reproductive Medicine 64
- Oncology 191
- Immunology 136
Countries citing papers authored by Sam Leung
This map shows the geographic impact of Sam 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 Sam Leung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam Leung more than expected).
Fields of papers citing papers by Sam Leung
This network shows the impact of papers produced by Sam 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 Sam Leung. The network helps show where Sam Leung may publish in the future.
Co-authors
The 25 scholars most cited alongside Sam Leung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 268 | |
| 2 | 2007 | 170 | |
| 3 | 2007 | 152 | |
| 4 | 2013 | 108 | |
| 5 | 2008 | 67 | |
| 6 | 2013 | 26 | |
| 7 | 2015 | 26 | |
| 8 | 1999 | 22 | |
| 9 | 2018 | 4 | |
| 10 | 2001 | 3 | |
| 11 | 2017 | 3 | |
| 12 | 2011 | 3 | |
| 13 | 2007 | 1 |
About Sam Leung
Sam Leung is a scholar working on Obstetrics and Gynecology, Reproductive Medicine, Cancer Research, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 13 papers that have together received 853 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (3 papers), Ovarian cancer diagnosis and treatment (3 papers), Breast Cancer Treatment Studies (2 papers), Prostate Cancer Treatment and Research (1 paper), Cancer Genomics and Diagnostics (1 paper), Mast cells and histamine (1 paper), Growth Hormone and Insulin-like Growth Factors (1 paper) and Cancer Treatment and Pharmacology (1 paper). The work is most often cited by research in Obstetrics and Gynecology (128 citations), Cancer Research (207 citations), Reproductive Medicine (64 citations), Oncology (191 citations) and Immunology (136 citations). Sam Leung has collaborated with scholars based in Canada, Australia and United States. Frequent co-authors include David G. Huntsman, Karen A. Gelmon, Ashish Rajput, C. Blake Gilks, Maggie C.U. Cheang, Dmitry Turbin, David Voduc, Martin Gleave, Ladan Fazli and Gulisa Turashvili. Their work appears in journals such as Histopathology, Clinical Cancer Research, Journal of Clinical Pathology, Oncotarget and International Journal of Gynecological Cancer.
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.