Bill Chan
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
-
- Antibiotic Resistance in Bacteria 6
-
- Pluripotent Stem Cells Research 2
- Bacterial biofilms and quorum sensing 2
- CRISPR and Genetic Engineering 2
- Co-authors
- Georgia Panagiotakos (3 shared papers)Viviane Tabar (3 shared papers)George Al-Shamy (2 shared papers)Michelle S. Bradbury (2 shared papers)Edward Wai‐Chi Chan (9 shared papers)Sheng Chen (9 shared papers)Amit Saxena (1 shared paper)Philip H. Gutin (1 shared paper)
- Journals
- Microbiology Spectrum (2 papers)EBioMedicine (2 papers)PLoS ONE (1 paper)Nature Medicine (1 paper)Microbiological Research (1 paper)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Bill Chan
14 papers receiving 392 citations
Peers
Comparison fields: 5 of 74
- Developmental Neuroscience 74
- Molecular Medicine 75
- Genetics 71
- Endocrinology 30
- Applied Microbiology and Biotechnology 8
Countries citing papers authored by Bill Chan
This map shows the geographic impact of Bill 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 Bill Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bill Chan more than expected).
Fields of papers citing papers by Bill Chan
This network shows the impact of papers produced by Bill 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 Bill Chan. The network helps show where Bill Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside Bill 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 | 2007 | 151 | |
| 2 | 2008 | 87 | |
| 3 | 2019 | 53 | |
| 4 | 2007 | 25 | |
| 5 | 2017 | 16 | |
| 6 | 2022 | 14 | |
| 7 | 2006 | 13 | |
| 8 | 2021 | 12 | |
| 9 | 2022 | 12 | |
| 10 | 2024 | 8 | |
| 11 | 2024 | 7 | |
| 12 | 2025 | 4 | |
| 13 | 2022 | 3 | |
| 14 | 2024 | 3 | |
| 15 | 2024 | 0 |
About Bill Chan
Bill Chan is a scholar working on Molecular Medicine, Molecular Biology, Infectious Diseases, Genetics and Endocrinology, having authored 15 papers that have together received 408 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (6 papers), Vibrio bacteria research studies (3 papers), Pluripotent Stem Cells Research (2 papers), Bacterial biofilms and quorum sensing (2 papers), CRISPR and Genetic Engineering (2 papers), Salmonella and Campylobacter epidemiology (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper) and Vaccine Coverage and Hesitancy (1 paper). The work is most often cited by research in Developmental Neuroscience (74 citations), Molecular Medicine (75 citations), Genetics (71 citations), Endocrinology (30 citations) and Applied Microbiology and Biotechnology (8 citations). Bill Chan has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Georgia Panagiotakos, Viviane Tabar, George Al-Shamy, Michelle S. Bradbury, Edward Wai‐Chi Chan, Sheng Chen, Amit Saxena, Philip H. Gutin, Rory Abrams and Edward Greenberg. Their work appears in journals such as Microbiology Spectrum, EBioMedicine, PLoS ONE, Nature Medicine and Microbiological Research.
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.