Ming Fu
Impact in
- Biochemistry top 0.5%
- Sulfur Compounds in Biology
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
- Surgery 28
- Congenital gastrointestinal and neural anomalies 11
- Orthopaedic implants and arthroplasty 7
- Hip disorders and treatments 5
- Congenital Anomalies and Fetal Surgery 5
- Co-authors
- Rui Wang (21 shared papers)Lingyun Wu (16 shared papers)Guangdong Yang (6 shared papers)Hongzhu Li (2 shared papers)Weihua Zhang (2 shared papers)Robert O. Heuckeroth (8 shared papers)Qimin Zhan (19 shared papers)Wei‐Ming Liao (23 shared papers)
- Journals
- Gynecologic Oncology (4 papers)Biochemical and Biophysical Research Communications (3 papers)Antioxidants and Redox Signaling (2 papers)Cancer Research (2 papers)Development (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ming Fu
110 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 119
- Biochemistry 823
- Cancer Research 439
- Endocrine and Autonomic Systems 161
- Rheumatology 346
- Molecular Biology 1.4k
Countries citing papers authored by Ming Fu
This map shows the geographic impact of Ming 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 Ming Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Fu more than expected).
Fields of papers citing papers by Ming Fu
This network shows the impact of papers produced by Ming 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 Ming Fu. The network helps show where Ming Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming 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 116 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 415 | |
| 2 | 2013 | 170 | |
| 3 | 2004 | 150 | |
| 4 | 2004 | 141 | |
| 5 | 2014 | 125 | |
| 6 | 2010 | 95 | |
| 7 | 2007 | 91 | |
| 8 | 2006 | 72 | |
| 9 | 2009 | 69 | |
| 10 | 1999 | 65 | |
| 11 | 2007 | 64 | |
| 12 | 2011 | 63 | |
| 13 | 2006 | 58 | |
| 14 | 2017 | 57 | |
| 15 | 2017 | 55 | |
| 16 | 2014 | 53 | |
| 17 | 2015 | 53 | |
| 18 | 2016 | 53 | |
| 19 | 2019 | 52 | |
| 20 | 2006 | 52 |
About Ming Fu
Ming Fu is a scholar working on Molecular Biology, Surgery, Biochemistry, Cancer Research and Rheumatology, having authored 116 papers that have together received 3.3k indexed citations. Recurring topics across this work include Sulfur Compounds in Biology (21 papers), Congenital gastrointestinal and neural anomalies (11 papers), Osteoarthritis Treatment and Mechanisms (9 papers), Orthopaedic implants and arthroplasty (7 papers), Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (6 papers), Hip disorders and treatments (5 papers) and Congenital Anomalies and Fetal Surgery (5 papers). The work is most often cited by research in Biochemistry (823 citations), Cancer Research (439 citations), Endocrine and Autonomic Systems (161 citations), Rheumatology (346 citations) and Molecular Biology (1.4k citations). Ming Fu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Rui Wang, Lingyun Wu, Guangdong Yang, Hongzhu Li, Weihua Zhang, Robert O. Heuckeroth, Qimin Zhan, Wei‐Ming Liao, MH Sham and Vincent Chi Hang Lui. Their work appears in journals such as Gynecologic Oncology, Biochemical and Biophysical Research Communications, Antioxidants and Redox Signaling, Cancer Research and Development.
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.