Joanne Chan
- Molecular Biology top 10%
- Developmental Neuroscience top 1%
- Cell Biology top 5%
- Cancer Research top 10%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Peter BaylissInka PawlitzkyJohn A. AlbertaZhimin ZhuAndrew P. McMahonCharles D. StilesQ. Richard LuDavid H. Rowitch
- Topics
- Zebrafish Biomedical Research Applications (9 papers)Angiogenesis and VEGF in Cancer (7 papers)Axon Guidance and Neuronal Signaling (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesHong KongChina
In The Last Decade
Joanne Chan
39 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Molecular Biology 1.1k
- Developmental Neuroscience 471
- Cell Biology 405
- Cancer Research 242
- Cellular and Molecular Neuroscience 226
Countries citing papers authored by Joanne Chan
This map shows the geographic impact of Joanne 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 Joanne Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joanne Chan more than expected).
Fields of papers citing papers by Joanne Chan
This network shows the impact of papers produced by Joanne 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 Joanne Chan. The network helps show where Joanne Chan may publish in the future.
Co-authorship network of co-authors of Joanne Chan
This figure shows the co-authorship network connecting the top 25 collaborators of Joanne Chan. A scholar is included among the top collaborators of Joanne 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 Joanne Chan. Joanne Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 38 | |
| 3 | 17 | |
| 4 | 59 | |
| 5 | 8 | |
| 6 | 11 | |
| 7 | 39 | |
| 8 | 48 | |
| 9 | 10 | |
| 10 | 13 | |
| 11 | 3 | |
| 12 | 10 | |
| 13 | 58 | |
| 14 | 42 | |
| 15 | 105 | |
| 16 | 103 | |
| 17 | 156 | |
| 18 | 67 | |
| 19 | Sonic Hedgehog–Regulated Oligodendrocyte Lineage Genes Encoding bHLH Proteins in the Mammalian Central Nervous Systembreakdown → | 699 |
| 20 | 97 |
About Joanne Chan
Joanne Chan is a scholar working on Cell Biology, Oncology and Communication, having authored 39 papers that have together received 2.1k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (9 papers), Angiogenesis and VEGF in Cancer (7 papers) and Axon Guidance and Neuronal Signaling (5 papers). The work is most often cited by research in Developmental Neuroscience (471 citations), Cell Biology (405 citations) and Molecular Biology (1.1k citations). Joanne Chan has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Peter Bayliss, Inka Pawlitzky, John A. Alberta, Zhimin Zhu, Andrew P. McMahon, Charles D. Stiles, Q. Richard Lu, David H. Rowitch, Shui‐fong Lam and Thomas M. Roberts. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.