Edwin Kwan
Impact in
- Cell Biology top 5%
- Cellular transport and secretion
- Physiology top 5%
Papers in
- Surgery 13
- Pancreatic function and diabetes 12
- Cell Biology 10
- Cellular transport and secretion 8
- Co-authors
- Herbert Y. Gaisano (14 shared papers)Laura Sheu (6 shared papers)Li Xie (5 shared papers)Yuk‐Man Leung (3 shared papers)Yazhou Li (1 shared paper)Theodore J. Brown (1 shared paper)Benjamin J. Lamont (1 shared paper)Daniel J. Drucker (1 shared paper)
- Journals
- Diabetes (4 papers)Journal of Biological Chemistry (2 papers)American Journal Of Pathology (1 paper)Biochemical and Biophysical Research Communications (1 paper)Human Vaccines & Immunotherapeutics (1 paper)
- Partner nations
- CanadaAustraliaUnited States
In The Last Decade
Edwin Kwan
17 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 64
- Cell Biology 335
- Physiology 74
- Endocrinology, Diabetes and Metabolism 234
- Surgery 513
- Molecular Biology 497
Countries citing papers authored by Edwin Kwan
This map shows the geographic impact of Edwin Kwan'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 Edwin Kwan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edwin Kwan more than expected).
Fields of papers citing papers by Edwin Kwan
This network shows the impact of papers produced by Edwin Kwan. 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 Edwin Kwan. The network helps show where Edwin Kwan may publish in the future.
Co-authors
The 25 scholars most cited alongside Edwin Kwan, 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 | 2004 | 153 | |
| 2 | 2011 | 146 | |
| 3 | 2004 | 114 | |
| 4 | 2006 | 94 | |
| 5 | 2007 | 92 | |
| 6 | 2007 | 72 | |
| 7 | 2005 | 63 | |
| 8 | 2007 | 59 | |
| 9 | 2007 | 56 | |
| 10 | 2009 | 39 | |
| 11 | 2008 | 39 | |
| 12 | 2002 | 32 | |
| 13 | 2007 | 26 | |
| 14 | 2009 | 18 | |
| 15 | 2015 | 18 | |
| 16 | 2007 | 10 | |
| 17 | 2014 | 4 |
About Edwin Kwan
Edwin Kwan is a scholar working on Surgery, Cell Biology, Molecular Biology, Physiology and Physiology, having authored 17 papers that have together received 1.0k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (12 papers), Cellular transport and secretion (8 papers), Metabolism, Diabetes, and Cancer (3 papers), Erythrocyte Function and Pathophysiology (3 papers), Calcium signaling and nucleotide metabolism (2 papers), Lipid Membrane Structure and Behavior (2 papers), Diabetes Treatment and Management (2 papers) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Cell Biology (335 citations), Physiology (74 citations), Endocrinology, Diabetes and Metabolism (234 citations), Surgery (513 citations) and Molecular Biology (497 citations). Edwin Kwan has collaborated with scholars based in Canada, Australia and United States. Frequent co-authors include Herbert Y. Gaisano, Laura Sheu, Li Xie, Yuk‐Man Leung, Yazhou Li, Theodore J. Brown, Benjamin J. Lamont, Daniel J. Drucker, Xiao‐Dong Gao and Robert G. Tsushima. Their work appears in journals such as Diabetes, Journal of Biological Chemistry, American Journal Of Pathology, Biochemical and Biophysical Research Communications and Human Vaccines & Immunotherapeutics.
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.