Bob Chan
Impact in
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- Breast Cancer Treatment Studies
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- Gene expression and cancer classification
- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
- Genomics and Chromatin Dynamics
- RNA and protein synthesis mechanisms
- Molecular Biology Techniques and Applications
Papers in
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- Gene expression and cancer classification 4
- Bioinformatics and Genomic Networks 3
- Genomics and Chromatin Dynamics 2
- Molecular Biology Techniques and Applications 2
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- Breast Cancer Treatment Studies 2
- Cancer Genomics and Diagnostics 1
- Co-authors
- G. Wesley Hatfield (1 shared paper)Anthony D. Long (1 shared paper)Pierre Baldi (1 shared paper)Harry J. Mangalam (1 shared paper)Dennis Kibler (1 shared paper)Anke Witteveen (4 shared papers)Christa Dreezen (3 shared papers)Leonie Delahaye (4 shared papers)
- Journals
- Breast Cancer Research and Treatment (2 papers)Journal of Biological Chemistry (1 paper)European Journal of Cancer (1 paper)Hepatology (1 paper)Journal of Molecular Biology (1 paper)
- Partner nations
- United StatesNetherlandsHong Kong
In The Last Decade
Bob Chan
10 papers receiving 468 citations
Peers
Comparison fields: 5 of 75
- Cancer Research 70
- Molecular Biology 302
- Genetics 74
- Oncology 42
- Virology 7
Countries citing papers authored by Bob Chan
This map shows the geographic impact of Bob 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 Bob Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bob Chan more than expected).
Fields of papers citing papers by Bob Chan
This network shows the impact of papers produced by Bob 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 Bob Chan. The network helps show where Bob Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside Bob 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
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 317 | |
| 2 | 2016 | 37 | |
| 3 | 2005 | 35 | |
| 4 | 2001 | 31 | |
| 5 | 2017 | 23 | |
| 6 | 2020 | 22 | |
| 7 | 2019 | 7 | |
| 8 | 2020 | 5 | |
| 9 | 1997 | 4 | |
| 10 | 2020 | 4 |
About Bob Chan
Bob Chan is a scholar working on Molecular Biology, Cancer Research, Oncology, Surgery and Pulmonary and Respiratory Medicine, having authored 10 papers that have together received 485 indexed citations. Recurring topics across this work include Gene expression and cancer classification (4 papers), Bioinformatics and Genomic Networks (3 papers), Genomics and Chromatin Dynamics (2 papers), Breast Cancer Treatment Studies (2 papers), Molecular Biology Techniques and Applications (2 papers), Pancreatic and Hepatic Oncology Research (1 paper), Cancer Genomics and Diagnostics (1 paper) and Enzyme Structure and Function (1 paper). The work is most often cited by research in Cancer Research (70 citations), Molecular Biology (302 citations), Genetics (74 citations), Oncology (42 citations) and Virology (7 citations). Bob Chan has collaborated with scholars based in United States, Netherlands and Hong Kong. Frequent co-authors include G. Wesley Hatfield, Anthony D. Long, Pierre Baldi, Harry J. Mangalam, Dennis Kibler, Anke Witteveen, Christa Dreezen, Leonie Delahaye, Mireille H.J. Snel and Victor Kunin. Their work appears in journals such as Breast Cancer Research and Treatment, Journal of Biological Chemistry, European Journal of Cancer, Hepatology and Journal of Molecular 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.