Mao Fu

9.2k citations
29 papers · 868 · h-index 15

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 2
    • Wnt/β-catenin signaling in development and cancer 2
    • Natural product bioactivities and synthesis 2
    • Plant biochemistry and biosynthesis 2
    • Genetic Associations and Epidemiology 4

Mao Fu

29 papers receiving 845 citations

Peers

Mao Fu
Comparison fields: 5 of 88
  • Genetics 303
  • Endocrine and Autonomic Systems 35
  • Physiology 123
  • Molecular Biology 301
  • Endocrinology, Diabetes and Metabolism 65
Replace Helen Farman with:
Helen Farman Sweden
Juraj Staník Slovakia
Luis Rodrigo Cataldo Chile
Kerry J. McInnes Australia
Katsuhiro Koyama Japan
Hans Knoblauch Germany
Imre Földesi Hungary
Camilla H. Sandholt Denmark
Yunhua L. Muller United States
Ahmet Anık Türkiye
Mao Fu relative to Helen Farman Sweden Helen Farman's profile →
Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Mao Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mao Fu Line = papers co-authored together Mao Fu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008227
2 2007133
3 201563
4 201046
5 201340
6 200438
7 201935
8 201035
9 201434
10 201731
11 200729
12 200727
13 201525
14 200418
15 201518
16 202112
17
[Association of Pro12Ala variant in peroxisome proliferator-activated receptor-gamma2 gene with type 2 diabetes mellitus].
200211
18 20248
19 20168
20
[Association of the cocaine and amphetamine-regulated transcript gene with type 2 diabetes mellitus].
20028

About Mao Fu

Mao Fu is a scholar working on Molecular Biology, Genetics, Surgery, Epidemiology and Plant Science, having authored 29 papers that have together received 868 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (4 papers), Phytochemistry and Biological Activities (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Natural product bioactivities and synthesis (2 papers), Vaccine Coverage and Hesitancy (2 papers), Plant biochemistry and biosynthesis (2 papers) and Advanced Neuroimaging Techniques and Applications (2 papers). The work is most often cited by research in Genetics (303 citations), Endocrine and Autonomic Systems (35 citations), Physiology (123 citations), Molecular Biology (301 citations) and Endocrinology, Diabetes and Metabolism (65 citations). Mao Fu has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include Alan R. Shuldiner, Braxton D. Mitchell, Haiqing Shen, Jeffery R. O’Connell, Evadnie Rampersaud, Toni I. Pollin, Scott Hines, Paul Sack, Søren Snitker and Coleen Damcott. Their work appears in journals such as Diabetes, Diabetes Research and Clinical Practice, Clinical Endocrinology, Journal of the American Society of Nephrology and G3 Genes Genomes Genetics.

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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