Accalia Fu

1.2k total citations
29 papers, 883 citations indexed

About

Accalia Fu is a scholar working on Surgery, Molecular Biology and Physiology. According to data from OpenAlex, Accalia Fu has authored 29 papers receiving a total of 883 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Surgery, 16 papers in Molecular Biology and 6 papers in Physiology. Recurrent topics in Accalia Fu's work include Pancreatic function and diabetes (15 papers), Metabolism, Diabetes, and Cancer (12 papers) and Adipose Tissue and Metabolism (6 papers). Accalia Fu is often cited by papers focused on Pancreatic function and diabetes (15 papers), Metabolism, Diabetes, and Cancer (12 papers) and Adipose Tissue and Metabolism (6 papers). Accalia Fu collaborates with scholars based in Canada, United States and China. Accalia Fu's co-authors include Robert A. Screaton, Chantal Depatie, Nika N. Danial, Michael B. Wheeler, Courtney Reeks, Deidre Jansson, Andy Ng, Nabeel Bardeesy, Gen‐Sheng Wang and Edward T. Chouchani and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Cell Biology.

In The Last Decade

Accalia Fu

27 papers receiving 875 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Accalia Fu Canada	15	515	349	229	175	130	29	883
Stephan Scherneck Germany	17	430 0.8×	284 0.8×	326 1.4×	118 0.7×	215 1.7×	41	907
Carlos Guillén Spain	17	489 0.9×	293 0.8×	240 1.0×	164 0.9×	85 0.7×	31	1.0k
Tatiana L. Steiler Sweden	9	639 1.2×	264 0.8×	463 2.0×	180 1.0×	181 1.4×	10	1.1k
Karla F. Leavens United States	9	597 1.2×	380 1.1×	230 1.0×	258 1.5×	83 0.6×	16	965
Bryce van Denderen Australia	9	725 1.4×	366 1.0×	197 0.9×	134 0.8×	57 0.4×	10	953
Julien Lamontagne Canada	14	353 0.7×	454 1.3×	257 1.1×	273 1.6×	141 1.1×	19	792
Hannah J. Welters United Kingdom	17	417 0.8×	522 1.5×	184 0.8×	253 1.4×	172 1.3×	24	937
Susumu Taniguchi Japan	11	465 0.9×	178 0.5×	315 1.4×	211 1.2×	103 0.8×	16	1.1k
Kwan Yi Chu Australia	15	277 0.5×	396 1.1×	131 0.6×	227 1.3×	135 1.0×	18	797
Ki-Up Lee South Korea	17	402 0.8×	244 0.7×	276 1.2×	116 0.7×	83 0.6×	25	929

Countries citing papers authored by Accalia Fu

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Accalia Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Accalia Fu. A scholar is included among the top collaborators of Accalia Fu 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 Accalia Fu. Accalia Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhao, Guojun, et al.. (2025). Experimental study on the operational characteristics of a scramjet engine under pressure-varying inflow conditions. Aerospace Science and Technology. 158. 109933–109933. 6 indexed citations

Watts, Steven, et al.. (2025). TFEB-mediated proinflammatory response in murine macrophages induced by acute Alpha7 nicotinic receptor activation. Journal of Leukocyte Biology. 117(6). 1 indexed citations

Zhang, Xin, Qiong‐Cong Xu, Accalia Fu, et al.. (2025). Development and interpretation of a pathomics-driven ensemble predictive model for prognosis of intrahepatic cholangiocarcinoma. European Journal of Surgical Oncology. 51(9). 110295–110295.

Zhao, Guojun, et al.. (2025). Combustion modes and oscillation characteristics in a rocket-dominated scramjet. Physics of Fluids. 37(1). 4 indexed citations

Fu, Accalia, et al.. (2024). Mitochondrial bioenergetics, metabolism, and beyond in pancreatic β-cells and diabetes. Frontiers in Molecular Biosciences. 11. 1354199–1354199. 16 indexed citations

Fu, Accalia. (2024). Reconsidering lactate disallowance in pancreatic β cells. Trends in Endocrinology and Metabolism. 35(12). 1023–1025. 2 indexed citations

Fu, Accalia, Daina Avizonis, Tatsuya Kin, et al.. (2021). Glucose metabolism and pyruvate carboxylase enhance glutathione synthesis and restrict oxidative stress in pancreatic islets. Cell Reports. 37(8). 110037–110037. 34 indexed citations

Mills, Evanna L., Cathal Harmon, Mark P. Jedrychowski, et al.. (2021). UCP1 governs liver extracellular succinate and inflammatory pathogenesis. Nature Metabolism. 3(5). 604–617. 114 indexed citations

Wang, Chih‐Hao, Morten Lundh, Accalia Fu, et al.. (2020). CRISPR-engineered human brown-like adipocytes prevent diet-induced obesity and ameliorate metabolic syndrome in mice. Science Translational Medicine. 12(558). 103 indexed citations

10.

Yu, Hong, et al.. (2019). [Effects of rhodiola rosea on oxidative stress and negative emotional states in patients with obstructive sleep apnea].. PubMed. 33(10). 954–957. 10 indexed citations

11.

Robitaille, Karine, Jillian L. Rourke, Joanne E. McBane, et al.. (2016). High-throughput Functional Genomics Identifies Regulators of Primary Human Beta Cell Proliferation. Journal of Biological Chemistry. 291(9). 4614–4625. 34 indexed citations

12.

Fu, Accalia, Karine Robitaille, Brandon Faubert, et al.. (2015). LKB1 couples glucose metabolism to insulin secretion in mice. Diabetologia. 58(7). 1513–1522. 22 indexed citations

13.

Ljubicic, Sanda, Klaudia Polak, Accalia Fu, et al.. (2015). Phospho-BAD BH3 Mimicry Protects β Cells and Restores Functional β Cell Mass in Diabetes. Cell Reports. 10(4). 497–504. 29 indexed citations

14.

Mailloux, Ryan J., Accalia Fu, Maria Florian, et al.. (2015). A Northern contaminant mixture impairs pancreas function in obese and lean JCR rats and inhibits insulin secretion in MIN6 cells. Toxicology. 334. 81–93. 14 indexed citations

15.

Sakamaki, Jun-Ichi, Accalia Fu, Courtney Reeks, et al.. (2013). Role of the Sik2-p35-Pja2 Complex in Pancreatic Beta Cell Functional Compensation. Canadian Journal of Diabetes. 37. S8–S8. 6 indexed citations

16.

Fu, Accalia, et al.. (2012). Role of AMPK in pancreatic beta cell function. Molecular and Cellular Endocrinology. 366(2). 127–134. 88 indexed citations

17.

Mailloux, Ryan J., Accalia Fu, Christine A. Doucette, et al.. (2012). Glutathionylation State of Uncoupling Protein-2 and the Control of Glucose-stimulated Insulin Secretion. Journal of Biological Chemistry. 287(47). 39673–39685. 59 indexed citations

18.

Wallbach, Manuel, et al.. (2010). Regulation of the CREB coactivator TORC by the dual leucine zipper kinase at different levels. Cellular Signalling. 23(2). 344–353. 11 indexed citations

19.

Fu, Accalia, et al.. (2010). Depletion of Intranuclear Rodlets in Mouse Models of Diabetes. Endocrine Pathology. 21(4). 230–235. 5 indexed citations

20.

Fu, Accalia, Andy Cheuk‐Him Ng, Chantal Depatie, et al.. (2009). Loss of Lkb1 in Adult β Cells Increases β Cell Mass and Enhances Glucose Tolerance in Mice. Cell Metabolism. 10(4). 285–295. 100 indexed citations

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.

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