Simon K. Chan
Impact in
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
- Breast Cancer Treatment Studies
- Oncology top 5%
- Cancer Cells and Metastasis
- Cancer-related Molecular Pathways
Papers in
-
- Cancer Genomics and Diagnostics 6
-
- Genomics and Phylogenetic Studies 2
- RNA modifications and cancer 2
- Co-authors
- Steven J.M. Jones (15 shared papers)Obi L. Griffith (2 shared papers)Isabella T. Tai (4 shared papers)Leonard J. Foster (2 shared papers)Dennis M. Dwyer (1 shared paper)Devki Nandan (1 shared paper)Dale P. Robinson (1 shared paper)Neil E. Reiner (1 shared paper)
- Journals
- The American Journal of Surgery (4 papers)Genome biology (3 papers)Nature (1 paper)Insect Biochemistry and Molecular Biology (1 paper)Journal of Computational Biology (1 paper)
- Partner nations
- CanadaUnited StatesSouth Korea
In The Last Decade
Simon K. Chan
32 papers receiving 4.4k citations
Simon K. Chan's Hit Papers
Peers
Comparison fields: 5 of 131
- Cancer Research 1.2k
- Oncology 857
- Molecular Biology 2.2k
- Insect Science 393
- Cell Biology 359
Countries citing papers authored by Simon K. Chan
This map shows the geographic impact of Simon K. 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 Simon K. Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon K. Chan more than expected).
Fields of papers citing papers by Simon K. Chan
This network shows the impact of papers produced by Simon K. 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 Simon K. Chan. The network helps show where Simon K. Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon K. Chan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The clonal and mutational evolution spectrum of primary triple-negative breast cancers Hit paper breakdown → | 2012 | 1644 |
| 2 | De novo assembly and analysis of RNA-seq data Hit paper breakdown → | 2010 | 751 |
| 3 | 2008 | 262 | |
| 4 | 2013 | 249 | |
| 5 | 2008 | 231 | |
| 6 | 2011 | 201 | |
| 7 | 2008 | 132 | |
| 8 | 2009 | 126 | |
| 9 | 2020 | 115 | |
| 10 | 2012 | 91 | |
| 11 | 2022 | 79 | |
| 12 | 2021 | 68 | |
| 13 | 2012 | 63 | |
| 14 | 2013 | 54 | |
| 15 | 2016 | 50 | |
| 16 | 2020 | 50 | |
| 17 | 2013 | 48 | |
| 18 | 2011 | 36 | |
| 19 | 2007 | 31 | |
| 20 | 2011 | 31 |
About Simon K. Chan
Simon K. Chan is a scholar working on Cancer Research, Molecular Biology, Hematology, Insect Science and Oncology, having authored 32 papers that have together received 4.4k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (6 papers), Forest Insect Ecology and Management (3 papers), Genomics and Phylogenetic Studies (2 papers), Parathyroid Disorders and Treatments (2 papers), Inflammatory mediators and NSAID effects (2 papers), Insect and Pesticide Research (2 papers), Acute Myeloid Leukemia Research (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (1.2k citations), Oncology (857 citations), Molecular Biology (2.2k citations), Insect Science (393 citations) and Cell Biology (359 citations). Simon K. Chan has collaborated with scholars based in Canada, United States and South Korea. Frequent co-authors include Steven J.M. Jones, Obi L. Griffith, Isabella T. Tai, Leonard J. Foster, Dennis M. Dwyer, Devki Nandan, Dale P. Robinson, Neil E. Reiner, Judith M. Silverman and Nancy Liao. Their work appears in journals such as The American Journal of Surgery, Genome biology, Nature, Insect Biochemistry and Molecular Biology and Journal of Computational Biology.
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.