Audrey Chan
Impact in
- Pharmacology top 1%
- Apelin-related biomedical research
-
- Nuclear Receptors and Signaling
Papers in
-
- Muscle Physiology and Disorders 6
- Glycosylation and Glycoproteins Research 2
- Receptor Mechanisms and Signaling 2
- Protein Kinase Regulation and GTPase Signaling 2
- Genetics 4
- Co-authors
- Xiaomei Shi (1 shared paper)Lap-Chee Tsui (1 shared paper)Henry H. Heng (1 shared paper)Susan R. George (1 shared paper)Brian F. O’Dowd (1 shared paper)Michael Heiber (1 shared paper)Artūras Petronis (1 shared paper)Tuan Nguyen (1 shared paper)
- Journals
- Gene (1 paper)Molecular Biology of the Cell (1 paper)JBMR Plus (1 paper)Brain Research (1 paper)Journal of Bone and Mineral Research (1 paper)
- Partner nations
- AustraliaUnited StatesCanada
In The Last Decade
Audrey Chan
20 papers receiving 1.3k citations
Audrey Chan's Hit Papers
Peers
Comparison fields: 5 of 84
- Pharmacology 669
- Cellular and Molecular Neuroscience 412
- Surgery 498
- Immunology 190
- Endocrinology, Diabetes and Metabolism 135
Countries citing papers authored by Audrey Chan
This map shows the geographic impact of Audrey 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 Audrey Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Audrey Chan more than expected).
Fields of papers citing papers by Audrey Chan
This network shows the impact of papers produced by Audrey 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 Audrey Chan. The network helps show where Audrey Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside Audrey 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 | A human gene that shows identity with the gene encoding the angiotensin receptor is located on chromosome 11 Hit paper breakdown → | 1993 | 726 |
| 2 | 1985 | 196 | |
| 3 | 2016 | 122 | |
| 4 | 2004 | 70 | |
| 5 | 2016 | 42 | |
| 6 | 2016 | 34 | |
| 7 | 2018 | 25 | |
| 8 | 2021 | 16 | |
| 9 | 2020 | 13 | |
| 10 | 2021 | 12 | |
| 11 | 2021 | 12 | |
| 12 | 2008 | 12 | |
| 13 | 2019 | 11 | |
| 14 | 2007 | 8 | |
| 15 | 2001 | 8 | |
| 16 | 2021 | 6 | |
| 17 | 2000 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2024 | 2 |
About Audrey Chan
Audrey Chan is a scholar working on Molecular Biology, Genetics, Pathology and Forensic Medicine, Physiology and Immunology, having authored 20 papers that have together received 1.3k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (6 papers), Glycosylation and Glycoproteins Research (2 papers), Receptor Mechanisms and Signaling (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Adipose Tissue and Metabolism (2 papers), Ocular Surface and Contact Lens (2 papers) and Vitamin D Research Studies (2 papers). The work is most often cited by research in Pharmacology (669 citations), Cellular and Molecular Neuroscience (412 citations), Surgery (498 citations), Immunology (190 citations) and Endocrinology, Diabetes and Metabolism (135 citations). Audrey Chan has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Xiaomei Shi, Lap-Chee Tsui, Henry H. Heng, Susan R. George, Brian F. O’Dowd, Michael Heiber, Artūras Petronis, Tuan Nguyen, James L. Kennedy and Tak W. Mak. Their work appears in journals such as Gene, Molecular Biology of the Cell, JBMR Plus, Brain Research and Journal of Bone and Mineral 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.