Yau-Sang Chan

17 total papers · 463 total citations
4 papers, 301 citations indexed

About

Yau-Sang Chan is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Yau-Sang Chan has authored 4 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Cancer Research. Recurrent topics in Yau-Sang Chan's work include Ferroptosis and cancer prognosis (2 papers), Drug Transport and Resistance Mechanisms (1 paper) and Cancer-related molecular mechanisms research (1 paper). Yau-Sang Chan is often cited by papers focused on Ferroptosis and cancer prognosis (2 papers), Drug Transport and Resistance Mechanisms (1 paper) and Cancer-related molecular mechanisms research (1 paper). Yau-Sang Chan collaborates with scholars based in Hong Kong and China. Yau-Sang Chan's co-authors include Mingo M. H. Yung, Hys Ngan, David W. Chan, Karen K. L. Chan, Xuan Yang, Wai-Sun Chan, Fushun Chen, Stephen Kwok‐Wing Tsui, Huijuan Yang and Tzi‐Bun Ng and has published in prestigious journals such as Theranostics, Pharmacological Research and Clinical Epigenetics.

In The Last Decade

Yau-Sang Chan

4 papers receiving 297 citations

Hit Papers

SCD1/FADS2 fatty acid des... 2022 2026 2023 2024 2022 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Yau-Sang Chan 176 162 129 38 36 4 301
Wai-Sun Chan 238 1.4× 141 0.9× 96 0.7× 43 1.1× 44 1.2× 8 334
Lohit Khera 179 1.0× 94 0.6× 96 0.7× 63 1.7× 13 0.4× 10 331
Maria Din 197 1.1× 66 0.4× 34 0.3× 39 1.0× 30 0.8× 3 346
Xiaoli Xie 209 1.2× 71 0.4× 36 0.3× 26 0.7× 26 0.7× 7 326
Chika Kawazu 226 1.3× 182 1.1× 61 0.5× 20 0.5× 15 0.4× 7 290
Juan Torres‐Lanzas 274 1.6× 54 0.3× 91 0.7× 93 2.4× 12 0.3× 9 362
Géraldine Luis 213 1.2× 174 1.1× 138 1.1× 31 0.8× 8 0.2× 5 314
Dilek Cevik 255 1.4× 90 0.6× 32 0.2× 43 1.1× 20 0.6× 6 354
Stanisław Supplitt 167 0.9× 120 0.7× 46 0.4× 36 0.9× 7 0.2× 7 269
Thi-Thu-Trang Luu 231 1.3× 96 0.6× 72 0.6× 102 2.7× 12 0.3× 9 349

Countries citing papers authored by Yau-Sang Chan

Since Specialization
Citations

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

Fields of papers citing papers by Yau-Sang Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yau-Sang Chan. 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 Yau-Sang Chan. The network helps show where Yau-Sang Chan may publish in the future.

Co-authorship network of co-authors of Yau-Sang Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Yau-Sang Chan. A scholar is included among the top collaborators of Yau-Sang Chan 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 Yau-Sang Chan. Yau-Sang Chan 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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