Michael W.Y. Chan

5.2k citations
69 papers · 4.1k indexed · 1 hit paper · h-index 32
Topics
Epigenetics and DNA Methylation (20 papers)Cancer-related gene regulation (15 papers)Microbial Community Ecology and Physiology (8 papers)
Journals
CellJournal of Clinical OncologySHILAP Revista de lepidopterología
Partner nations
TaiwanHong KongChina

In The Last Decade

Michael W.Y. Chan

65 papers receiving 4.0k citations

Hit Papers

Identification and Characterization of Ovarian Cancer-Ini...200820262014202020082505007501000

Peers

Michael W.Y. Chan
Comparison fields: 5 of 142
  • Molecular Biology 2.5k
  • Oncology 1.4k
  • Cancer Research 836
  • Surgery 552
  • Pathology and Forensic Medicine 387
Replace William Warren with:
William Warren United States
Sílvia Regina Rogatto Brazil
Masaaki Terada Japan
John D. Haley United States
Rama Modali United States
Viktor Meineke Germany
Helge Täubert Germany
Annegien Broeks Netherlands
Gerard Pals Netherlands
Masahiko Miura Japan
Michael W.Y. Chan relative to William Warren United States William Warren's profile →
Citations per field
00.5×4.8×
William Warren · 1×
Citations per year

Countries citing papers authored by Michael W.Y. Chan

Since Specialization
Citations

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

Fields of papers citing papers by Michael W.Y. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael W.Y. 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 Michael W.Y. Chan. The network helps show where Michael W.Y. Chan may publish in the future.

Co-authorship network of co-authors of Michael W.Y. Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Michael W.Y. Chan. A scholar is included among the top collaborators of Michael W.Y. 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 Michael W.Y. Chan. Michael W.Y. Chan 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 0
2 3
3 0
4 3
5 3
6 1
7 33
8 7
9 27
10 3
11 18
12 33
13 12
14 62
15 47
16 105
17 121
18 198
19
Identification and Characterization of Ovarian Cancer-Initiating Cells from Primary Human Tumorsbreakdown →
1055
20 93

About Michael W.Y. Chan

Michael W.Y. Chan is a scholar working on Ecological Modeling, Molecular Biology and Oncology, having authored 69 papers that have together received 4.1k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (20 papers), Cancer-related gene regulation (15 papers) and Microbial Community Ecology and Physiology (8 papers). The work is most often cited by research in Cancer Research (836 citations), Oncology (1.4k citations) and Molecular Biology (2.5k citations). Michael W.Y. Chan has collaborated with scholars based in Taiwan, Hong Kong and China. Frequent co-authors include Ka‐Fai To, Pearlly S. Yan, Joseph J.�Y. Sung, Curt Balch, Kenneth P. Nephew, Hung‐Cheng Lai, Shu Zhang, Daniela Matei, Jeanne M. Schilder and Tim H-M. Huang. Their work appears in journals such as Cell, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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