Mao Fu

9.0k total citations
29 papers, 822 citations indexed

About

Mao Fu is a scholar working on Molecular Biology, Surgery and Epidemiology. According to data from OpenAlex, Mao Fu has authored 29 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Surgery and 6 papers in Epidemiology. Recurrent topics in Mao Fu's work include Metabolism, Diabetes, and Cancer (4 papers), Genetic Associations and Epidemiology (4 papers) and Pancreatic function and diabetes (4 papers). Mao Fu is often cited by papers focused on Metabolism, Diabetes, and Cancer (4 papers), Genetic Associations and Epidemiology (4 papers) and Pancreatic function and diabetes (4 papers). Mao Fu collaborates with scholars based in United States, China and United Kingdom. Mao Fu's co-authors include Alan R. Shuldiner, Braxton D. Mitchell, Haiqing Shen, Jeffery R. O’Connell, Evadnie Rampersaud, Toni I. Pollin, Scott Hines, Søren Snitker, Paul Sack and Coleen Damcott and has published in prestigious journals such as PLoS ONE, NeuroImage and Diabetes.

In The Last Decade

Mao Fu

29 papers receiving 805 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mao Fu United States 15 358 329 152 119 104 29 822
Lise Wegner Denmark 11 330 0.9× 382 1.2× 213 1.4× 143 1.2× 63 0.6× 14 761
Luis Rodrigo Cataldo Chile 16 239 0.7× 131 0.4× 156 1.0× 123 1.0× 59 0.6× 45 702
Kerry J. McInnes United Kingdom 18 285 0.8× 246 0.7× 173 1.1× 85 0.7× 117 1.1× 22 953
Sigri Beckers Belgium 19 380 1.1× 299 0.9× 273 1.8× 76 0.6× 220 2.1× 47 1.2k
Yunhua L. Muller United States 22 660 1.8× 462 1.4× 296 1.9× 70 0.6× 127 1.2× 54 1.2k
Laura Dearden United Kingdom 13 366 1.0× 66 0.2× 226 1.5× 132 1.1× 107 1.0× 26 1.0k
Michel Lacaille Canada 12 166 0.5× 210 0.6× 319 2.1× 35 0.3× 103 1.0× 23 613
Clare M. Turner United Kingdom 16 318 0.9× 127 0.4× 114 0.8× 130 1.1× 147 1.4× 20 1.0k
Kristin K. Nicodemus United States 8 561 1.6× 175 0.5× 149 1.0× 51 0.4× 62 0.6× 8 1.1k
Giuseppe Labruna Italy 18 231 0.6× 76 0.2× 209 1.4× 44 0.4× 145 1.4× 27 682

Countries citing papers authored by Mao Fu

Since Specialization
Citations

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

Fields of papers citing papers by Mao Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mao Fu

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

All Works

20 of 20 papers shown
1.
Jin, Peng, Xinglong Zheng, Minghuan Jiang, et al.. (2025). Cost-Effectiveness of Aortic Valve Replacement in Low- and Intermediate-Risk Chinese Patients With Severe Aortic Stenosis. Circulation Cardiovascular Quality and Outcomes. 18(4). e010858–e010858. 1 indexed citations
3.
Chen, Junlei, Zhaoyang Wang, Mao Fu, et al.. (2024). One new phenylpropanoid glycoside from Paraboea rufescens and their chemotaxonomic significance. Biochemical Systematics and Ecology. 113. 104794–104794. 1 indexed citations
4.
Yi, Ping, Junlei Chen, Yuhuan Li, et al.. (2023). Chemical Constituents of Primulina eburnea (Gesneriaceae) and Their Cytotoxic Activities. Chemistry & Biodiversity. 20(5). e202300248–e202300248. 3 indexed citations
5.
Liu, Min, Xinyu Zou, Mao Fu, et al.. (2022). Mild cold stress specifically disturbs clustering movement of DFCs and sequential organ left-right patterning in zebrafish. Frontiers in Cell and Developmental Biology. 10. 952844–952844. 3 indexed citations
6.
Wan, Xuesi, James A. Perry, Haichen Zhang, et al.. (2021). Heterozygosity for a Pathogenic Variant in SLC12A3 That Causes Autosomal Recessive Gitelman Syndrome Is Associated with Lower Serum Potassium. Journal of the American Society of Nephrology. 32(3). 756–765. 11 indexed citations
7.
Yuan, Lei, Gangyi Yang, Feng Wang, et al.. (2019). Changes in whole metabolites after exenatide treatment in overweight/obese polycystic ovary syndrome patients. Clinical Endocrinology. 91(4). 508–516. 32 indexed citations
8.
Wang, Xing, Shabnam Salimi, Zhong‐Liang Deng, et al.. (2018). Evaluation of WISP1 as a candidate gene for bone mineral density in the Old Order Amish. Scientific Reports. 8(1). 7141–7141. 4 indexed citations
9.
Jia, Yanjun, et al.. (2017). Circulating CTRP9 levels are increased in patients with newly diagnosed type 2 diabetes and correlated with insulin resistance. Diabetes Research and Clinical Practice. 131. 116–123. 30 indexed citations
10.
Wang, Hong, Joshua P. Lewis, Xing Wang, et al.. (2016). Effect of Two Lipoprotein (a)-Associated Genetic Variants on Plasminogen Levels and Fibrinolysis. G3 Genes Genomes Genetics. 6(11). 3525–3532. 8 indexed citations
11.
Kochunov, Peter, Paul M. Thompson, Anderson M. Winkler, et al.. (2015). The common genetic influence over processing speed and white matter microstructure: Evidence from the Old Order Amish and Human Connectome Projects. NeuroImage. 125. 189–197. 22 indexed citations
12.
Kochunov, Peter, Mao Fu, Katie L. Nugent, et al.. (2015). Heritability of complex white matter diffusion traits assessed in a population isolate. Human Brain Mapping. 37(2). 525–535. 17 indexed citations
13.
Maruthur, Nisa M., Jeanne M. Clark, Mao Fu, W.H. Linda Kao, & Alan R. Shuldiner. (2014). Effect of zinc supplementation on insulin secretion: interaction between zinc and SLC30A8 genotype in Old Order Amish. Diabetologia. 58(2). 295–303. 33 indexed citations
14.
Zhang, Dongmei, et al.. (2013). Variants of NLRP3 gene are associated with insulin resistance in Chinese Han population with type-2 diabetes. Gene. 530(1). 151–154. 40 indexed citations
15.
Cattaert, Tom, Víctor Urrea, Adam C. Naj, et al.. (2010). FAM-MDR: A Flexible Family-Based Multifactor Dimensionality Reduction Technique to Detect Epistasis Using Related Individuals. PLoS ONE. 5(4). e10304–e10304. 46 indexed citations
16.
Rampersaud, Evadnie, Braxton D. Mitchell, Toni I. Pollin, et al.. (2008). Physical Activity and the Association of Common FTO Gene Variants With Body Mass Index and Obesity. Archives of Internal Medicine. 168(16). 1791–1791. 211 indexed citations
17.
Ma, Li‐Jun, Robert L. Hanson, Anna M. G. Cali, et al.. (2007). Variants in ARHGEF11, a Candidate Gene for the Linkage to Type 2 Diabetes on Chromosome 1q, Are Nominally Associated With Insulin Resistance and Type 2 Diabetes in Pima Indians. Diabetes. 56(5). 1454–1459. 28 indexed citations
18.
Rampersaud, Evadnie, Coleen Damcott, Mao Fu, et al.. (2007). Identification of Novel Candidate Genes for Type 2 Diabetes From a Genome-Wide Association Scan in the Old Order Amish. Diabetes. 56(12). 3053–3062. 124 indexed citations
19.
Sabra, Mona M., Coleen Damcott, Mao Fu, et al.. (2005). Vesicle-associated membrane protein 4, a positional candidate gene on 1q24-q25, is not associated with type 2 diabetes in the Old Order Amish. Molecular Genetics and Metabolism. 85(2). 133–139. 2 indexed citations
20.
Wu, Bin, Juro Takahashi, Mao Fu, et al.. (2004). Variants of calpain-10 gene and its association with type 2 diabetes mellitus in a Chinese population. Diabetes Research and Clinical Practice. 68(2). 155–161. 18 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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