Mao Fu
Impact in
- Genetics top 10%
- Genetic Associations and Epidemiology
- Nutrition, Genetics, and Disease
Papers in
-
- Metabolism, Diabetes, and Cancer 4
- Natural product bioactivities and synthesis 2
- Wnt/β-catenin signaling in development and cancer 2
- RNA Research and Splicing 2
- Surgery 6
- Pancreatic function and diabetes 4
- Co-authors
- Alan R. Shuldiner (12 shared papers)Braxton D. Mitchell (8 shared papers)Haiqing Shen (3 shared papers)Evadnie Rampersaud (2 shared papers)Jeffery R. O’Connell (2 shared papers)Toni I. Pollin (3 shared papers)Scott Hines (1 shared paper)Paul Sack (1 shared paper)
- Journals
- Diabetes (6 papers)Diabetes Research and Clinical Practice (2 papers)Clinical Endocrinology (1 paper)Scientific Reports (1 paper)Gene (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Mao Fu
29 papers receiving 805 citations
Peers
Comparison fields: 5 of 90
- Genetics 329
- Endocrine and Autonomic Systems 44
- Physiology 152
- Molecular Biology 358
- Endocrinology, Diabetes and Metabolism 81
Countries citing papers authored by Mao Fu
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
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.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 211 | |
| 2 | 2007 | 124 | |
| 3 | 2015 | 61 | |
| 4 | 2010 | 46 | |
| 5 | 2013 | 40 | |
| 6 | 2004 | 37 | |
| 7 | 2014 | 33 | |
| 8 | 2019 | 32 | |
| 9 | 2017 | 30 | |
| 10 | 2010 | 30 | |
| 11 | 2007 | 28 | |
| 12 | 2007 | 26 | |
| 13 | 2015 | 22 | |
| 14 | 2004 | 18 | |
| 15 | 2015 | 17 | |
| 16 | 2021 | 11 | |
| 17 | [Association of Pro12Ala variant in peroxisome proliferator-activated receptor-gamma2 gene with type 2 diabetes mellitus]. | 2002 | 11 |
| 18 | 2024 | 8 | |
| 19 | 2016 | 8 | |
| 20 | [Association of the cocaine and amphetamine-regulated transcript gene with type 2 diabetes mellitus]. | 2002 | 8 |
About Mao Fu
Mao Fu is a scholar working on Molecular Biology, Surgery, Epidemiology, Genetics and Cardiology and Cardiovascular Medicine, having authored 29 papers that have together received 822 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (4 papers), Pancreatic function and diabetes (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Phytochemistry and Biological Activities (3 papers), Natural product bioactivities and synthesis (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), RNA Research and Splicing (2 papers) and Vaccine Coverage and Hesitancy (2 papers). The work is most often cited by research in Genetics (329 citations), Endocrine and Autonomic Systems (44 citations), Physiology (152 citations), Molecular Biology (358 citations) and Endocrinology, Diabetes and Metabolism (81 citations). Mao Fu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Alan R. Shuldiner, Braxton D. Mitchell, Haiqing Shen, Evadnie Rampersaud, Jeffery R. O’Connell, 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, Scientific Reports and Gene.
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.