Accalia Fu
Impact in
-
- Diabetes Treatment and Management
- Diet, Metabolism, and Disease
- Physiology top 10%
- Adipose Tissue and Metabolism
Papers in
- Surgery 16
- Pancreatic function and diabetes 15
-
- Metabolism, Diabetes, and Cancer 12
- FOXO transcription factor regulation 3
- Co-authors
- Robert A. Screaton (13 shared papers)Chantal Depatie (6 shared papers)Nika N. Danial (5 shared papers)Michael B. Wheeler (3 shared papers)Courtney Reeks (4 shared papers)Nabeel Bardeesy (3 shared papers)Deidre Jansson (2 shared papers)Andy Ng (2 shared papers)
- Journals
- Cell Reports (2 papers)Physics of Fluids (2 papers)Journal of Biological Chemistry (2 papers)Canadian Journal of Diabetes (2 papers)Cell Metabolism (1 paper)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Accalia Fu
27 papers receiving 875 citations
Peers
Comparison fields: 5 of 95
- Endocrinology, Diabetes and Metabolism 175
- Physiology 229
- Surgery 349
- Molecular Biology 515
- Aging 11
Countries citing papers authored by Accalia Fu
This map shows the geographic impact of Accalia Fu'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 Accalia Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Accalia Fu more than expected).
Fields of papers citing papers by Accalia Fu
This network shows the impact of papers produced by Accalia Fu. 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 Accalia Fu. The network helps show where Accalia Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Accalia Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 114 | |
| 2 | 2020 | 103 | |
| 3 | 2009 | 100 | |
| 4 | 2008 | 96 | |
| 5 | 2012 | 88 | |
| 6 | 2014 | 61 | |
| 7 | 2012 | 59 | |
| 8 | 2021 | 34 | |
| 9 | 2016 | 34 | |
| 10 | 2015 | 29 | |
| 11 | 2013 | 29 | |
| 12 | 2015 | 22 | |
| 13 | 2024 | 16 | |
| 14 | 2008 | 16 | |
| 15 | 2020 | 16 | |
| 16 | 2015 | 14 | |
| 17 | 2010 | 11 | |
| 18 | 2019 | 10 | |
| 19 | 2025 | 6 | |
| 20 | 2013 | 6 |
About Accalia Fu
Accalia Fu is a scholar working on Surgery, Molecular Biology, Physiology, Genetics and Endocrinology, Diabetes and Metabolism, having authored 29 papers that have together received 883 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (15 papers), Metabolism, Diabetes, and Cancer (12 papers), Adipose Tissue and Metabolism (6 papers), Diabetes and associated disorders (4 papers), Diabetes Treatment and Management (4 papers), Computational Fluid Dynamics and Aerodynamics (3 papers), FOXO transcription factor regulation (3 papers) and Fatty Acid Research and Health (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (175 citations), Physiology (229 citations), Surgery (349 citations), Molecular Biology (515 citations) and Aging (11 citations). Accalia Fu has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Robert A. Screaton, Chantal Depatie, Nika N. Danial, Michael B. Wheeler, Courtney Reeks, Nabeel Bardeesy, Deidre Jansson, Andy Ng, Anita Reddy and Gen‐Sheng Wang. Their work appears in journals such as Cell Reports, Physics of Fluids, Journal of Biological Chemistry, Canadian Journal of Diabetes and Cell Metabolism.
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.