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 7
-
- Vibrio bacteria research studies 4
- Co-authors
- Georgia Panagiotakos (3 shared papers)Viviane Tabar (3 shared papers)George Al-Shamy (2 shared papers)Sheng Chen (9 shared papers)Edward Wai‐Chi Chan (8 shared papers)Michelle S. Bradbury (2 shared papers)Rory Abrams (1 shared paper)Mark Edgar (1 shared paper)
- Journals
- EBioMedicine (2 papers)Microbiology Spectrum (2 papers)Nutrients (1 paper)Nature Medicine (1 paper)Journal of Behavioral Medicine (1 paper)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Bill Chan
16 papers receiving 397 citations
Peers
Comparison fields: 5 of 81
- Developmental Neuroscience 76
- Molecular Medicine 82
- Endocrinology 41
- Genetics 83
- Applied Microbiology and Biotechnology 10
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 | 147 | |
| 2 | 2008 | 80 | |
| 3 | 2019 | 52 | |
| 4 | 2007 | 22 | |
| 5 | 2017 | 16 | |
| 6 | 2022 | 14 | |
| 7 | 2006 | 13 | |
| 8 | 2022 | 12 | |
| 9 | 2021 | 11 | |
| 10 | 1996 | 11 | |
| 11 | 2022 | 10 | |
| 12 | 2004 | 7 | |
| 13 | 2024 | 6 | |
| 14 | 2024 | 5 | |
| 15 | 2022 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2025 | 0 |
About Bill Chan
Bill Chan is a scholar working on Molecular Medicine, Endocrinology, Developmental Neuroscience, Modeling and Simulation and Clinical Biochemistry, having authored 17 papers that have together received 411 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (7 papers), Vibrio bacteria research studies (4 papers), Bacterial biofilms and quorum sensing (3 papers), CRISPR and Genetic Engineering (2 papers), Pluripotent Stem Cells Research (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Mesenchymal stem cell research (1 paper) and Bacterial Genetics and Biotechnology (1 paper). The work is most often cited by research in Developmental Neuroscience (76 citations), Molecular Medicine (82 citations), Endocrinology (41 citations), Genetics (83 citations) and Applied Microbiology and Biotechnology (10 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, Sheng Chen, Edward Wai‐Chi Chan, Michelle S. Bradbury, Rory Abrams, Mark Edgar, Amit Saxena and Marcus Ho Yin Wong. Their work appears in journals such as EBioMedicine, Microbiology Spectrum, Nutrients, Nature Medicine and Journal of Behavioral Medicine.
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.