Sam Leung

24 total papers · 1.5k total citations
13 papers, 805 citations indexed

About

Sam Leung is a scholar working on Oncology, Obstetrics and Gynecology and Reproductive Medicine. According to data from OpenAlex, Sam Leung has authored 13 papers receiving a total of 805 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 5 papers in Obstetrics and Gynecology and 5 papers in Reproductive Medicine. Recurrent topics in Sam Leung's work include Endometrial and Cervical Cancer Treatments (5 papers), Ovarian cancer diagnosis and treatment (5 papers) and Breast Cancer Treatment Studies (3 papers). Sam Leung is often cited by papers focused on Endometrial and Cervical Cancer Treatments (5 papers), Ovarian cancer diagnosis and treatment (5 papers) and Breast Cancer Treatment Studies (3 papers). Sam Leung collaborates with scholars based in Canada, United States and Australia. Sam Leung's co-authors include David G. Huntsman, Ashish Rajput, Karen A. Gelmon, C. Blake Gilks, Maggie C.U. Cheang, Dmitry Turbin, David Voduc, Ladan Fazli, Martin Gleave and Catriona McLean and has published in prestigious journals such as Journal of Clinical Oncology, Clinical Cancer Research and British Journal of Cancer.

In The Last Decade

Sam Leung

12 papers receiving 794 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Sam Leung	330	243	236	214	137	13	805
Evelyn N. Garrett	461 1.4×	146 0.6×	142 0.6×	97 0.5×	205 1.5×	11	927
Jie Li	477 1.4×	175 0.7×	299 1.3×	105 0.5×	67 0.5×	16	792
Matthieu Le Gallo	486 1.5×	220 0.9×	288 1.2×	93 0.4×	308 2.2×	23	1.0k
Marcella Falchetti	225 0.7×	107 0.4×	272 1.2×	124 0.6×	95 0.7×	19	798
Kety Huberman	363 1.1×	288 1.2×	300 1.3×	277 1.3×	27 0.2×	13	843
Chunyan Luan	315 1.0×	133 0.5×	129 0.5×	250 1.2×	40 0.3×	22	703
Conway Gee	334 1.0×	204 0.8×	470 2.0×	127 0.6×	199 1.5×	14	926
Tsutomu Imai	597 1.8×	316 1.3×	331 1.4×	61 0.3×	75 0.5×	15	899
Stefanie Sassen	427 1.3×	457 1.9×	170 0.7×	117 0.5×	31 0.2×	8	1.0k
Alexander Puhl	376 1.1×	204 0.8×	345 1.5×	80 0.4×	192 1.4×	17	922

Countries citing papers authored by Sam Leung

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Sam Leung

This figure shows the co-authorship network connecting the top 25 collaborators of Sam Leung. A scholar is included among the top collaborators of Sam 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 Sam Leung. Sam Leung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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