Minghua Fu

665 total citations
10 papers, 536 citations indexed

About

Minghua Fu is a scholar working on Molecular Biology, Rehabilitation and Cell Biology. According to data from OpenAlex, Minghua Fu has authored 10 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Rehabilitation and 3 papers in Cell Biology. Recurrent topics in Minghua Fu's work include Muscle metabolism and nutrition (3 papers), Exercise and Physiological Responses (3 papers) and Adipose Tissue and Metabolism (3 papers). Minghua Fu is often cited by papers focused on Muscle metabolism and nutrition (3 papers), Exercise and Physiological Responses (3 papers) and Adipose Tissue and Metabolism (3 papers). Minghua Fu collaborates with scholars based in Canada, United States and Australia. Minghua Fu's co-authors include Mark A. Tarnopolsky, Douglas J. Mahoney, Gianni Parise, Amy C. Maher, Kate A. Carey, Rodney J. Snow, David Cameron‐Smith, A. Russell Tupling, Mazen J. Hamadeh and Xiaoyan A. Qu and has published in prestigious journals such as PLoS ONE, Biochemical Journal and American Journal of Physiology-Heart and Circulatory Physiology.

In The Last Decade

Minghua Fu

9 papers receiving 525 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Minghua Fu Canada	8	281	213	163	154	77	10	536
Amy C. Maher Canada	14	398 1.4×	261 1.2×	90 0.6×	147 1.0×	91 1.2×	18	681
Thomas J. McLoughlin United States	14	586 2.1×	278 1.3×	231 1.4×	208 1.4×	53 0.7×	22	896
Yoshitaka Ohno Japan	16	349 1.2×	264 1.2×	178 1.1×	159 1.0×	22 0.3×	30	591
Anders J. Kolnes Norway	9	213 0.8×	315 1.5×	106 0.7×	125 0.8×	31 0.4×	13	599
Roland Hangelbroek Netherlands	11	191 0.7×	256 1.2×	90 0.6×	180 1.2×	46 0.6×	18	504
Andreas Vigelsø Denmark	14	254 0.9×	334 1.6×	86 0.5×	175 1.1×	23 0.3×	19	587
Carlton D. Fox United States	19	256 0.9×	303 1.4×	147 0.9×	285 1.9×	35 0.5×	29	649
Nina Zeng New Zealand	16	409 1.5×	320 1.5×	74 0.5×	212 1.4×	46 0.6×	39	815
Rebecca J. Tunstall Australia	14	349 1.2×	646 3.0×	121 0.7×	454 2.9×	69 0.9×	15	861
Takumi Yokokawa Japan	11	197 0.7×	196 0.9×	82 0.5×	111 0.7×	20 0.3×	28	391

Countries citing papers authored by Minghua Fu

Since Specialization

Citations

This map shows the geographic impact of Minghua 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 Minghua Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minghua Fu more than expected).

Fields of papers citing papers by Minghua Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Minghua 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 Minghua Fu. The network helps show where Minghua Fu may publish in the future.

Co-authorship network of co-authors of Minghua Fu

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

All Works

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10 of 10 papers shown

Zhang, Yan, Fang Shao, Yi Wang, et al.. (2024). Establishment and evaluation of rapid detection of AZFc deletion on Y chromosome based on multienzyme isothermal rapid amplification. Microchemical Journal. 208. 112556–112556.

Fu, Minghua, Éric Bombardier, Daniel Gamu, & A. Russell Tupling. (2020). Phospholamban and sarcolipin prevent thermal inactivation of sarco(endo)plasmic reticulum Ca2+-ATPases. Biochemical Journal. 477(21). 4281–4294. 6 indexed citations

Fu, Minghua, et al.. (2014). Flaxseed oil enhances the effectiveness of trastuzumab in reducing the growth of HER2-overexpressing human breast tumors (BT-474). The Journal of Nutritional Biochemistry. 26(1). 16–23. 26 indexed citations

Fu, Minghua, et al.. (2013). Dietary Flaxseed–Trastuzumab Interactive Effects on the Growth of HER2-Overexpressing Human Breast Tumors (BT-474). Nutrition and Cancer. 65(3). 451–459. 11 indexed citations

Maher, Amy C., et al.. (2009). Sex Differences in Global mRNA Content of Human Skeletal Muscle. PLoS ONE. 4(7). e6335–e6335. 79 indexed citations

Fu, Minghua & A. Russell Tupling. (2009). Protective effects of Hsp70 on the structure and function of SERCA2a expressed in HEK-293 cells during heat stress. American Journal of Physiology-Heart and Circulatory Physiology. 296(4). H1175–H1183. 34 indexed citations

Fu, Minghua, et al.. (2009). Exercise, sex, menstrual cycle phase, and 17β-estradiol influence metabolism-related genes in human skeletal muscle. Physiological Genomics. 40(1). 34–47. 71 indexed citations

Tupling, A. Russell, Éric Bombardier, Chris Vigna, Joe Quadrilatero, & Minghua Fu. (2008). Interaction between Hsp70 and the SR Ca²⁺pump: a potential mechanism for cytoprotection in heart and skeletal muscle. Applied Physiology Nutrition and Metabolism. 33(5). 1023–1032. 33 indexed citations

Mahoney, Douglas J., Adeel Safdar, Gianni Parise, et al.. (2008). Gene expression profiling in human skeletal muscle during recovery from eccentric exercise. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 294(6). R1901–R1910. 96 indexed citations

10.

Mahoney, Douglas J., Kate A. Carey, Minghua Fu, et al.. (2004). Real-time RT-PCR analysis of housekeeping genes in human skeletal muscle following acute exercise. Physiological Genomics. 18(2). 226–231. 180 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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