Ming Fu
Impact in
- Biochemistry top 0.2%
- Sulfur Compounds in Biology
- Rheumatology top 5%
- Osteoarthritis Treatment and Mechanisms
Papers in
- Biochemistry 20
- Sulfur Compounds in Biology 20
- Surgery 34
- Congenital gastrointestinal and neural anomalies 11
- Esophageal Cancer Research and Treatment 7
- Orthopaedic implants and arthroplasty 6
- Total Knee Arthroplasty Outcomes 6
- Co-authors
- Rui Ting Wang (22 shared papers)Lingyun Wu (16 shared papers)Weihua Zhang (2 shared papers)Hongzhu Li (2 shared papers)Robert O. Heuckeroth (8 shared papers)Qi-Min zhan (19 shared papers)Wei‐Ming Liao (23 shared papers)Vincent Chi‐Hang Lui (2 shared papers)
- Journals
- Gynecologic Oncology (4 papers)Biochemical and Biophysical Research Communications (3 papers)Antioxidants and Redox Signaling (2 papers)BMC Musculoskeletal Disorders (2 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Ming Fu
106 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 119
- Biochemistry 774
- Rheumatology 319
- Developmental Neuroscience 51
- Cell Biology 213
- Cancer Research 192
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 110 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 424 | |
| 2 | 2013 | 170 | |
| 3 | 2004 | 152 | |
| 4 | 2004 | 145 | |
| 5 | 2014 | 125 | |
| 6 | 2010 | 98 | |
| 7 | 2007 | 86 | |
| 8 | 2006 | 77 | |
| 9 | 2009 | 73 | |
| 10 | 1999 | 64 | |
| 11 | 2007 | 64 | |
| 12 | 2011 | 63 | |
| 13 | 2006 | 60 | |
| 14 | 2017 | 59 | |
| 15 | 2017 | 57 | |
| 16 | 2015 | 56 | |
| 17 | 2014 | 55 | |
| 18 | 2016 | 55 | |
| 19 | 2019 | 55 | |
| 20 | 2006 | 53 |
About Ming Fu
Ming Fu is a scholar working on Biochemistry, Surgery, Rheumatology, Oncology and Molecular Biology, having authored 110 papers that have together received 3.4k indexed citations. Recurring topics across this work include Sulfur Compounds in Biology (20 papers), Congenital gastrointestinal and neural anomalies (11 papers), Osteoarthritis Treatment and Mechanisms (9 papers), Esophageal Cancer Research and Treatment (7 papers), Orthopaedic implants and arthroplasty (6 papers), Total Knee Arthroplasty Outcomes (6 papers), Virus-based gene therapy research (4 papers) and Cancer-related Molecular Pathways (4 papers). The work is most often cited by research in Biochemistry (774 citations), Rheumatology (319 citations), Developmental Neuroscience (51 citations), Cell Biology (213 citations) and Cancer Research (192 citations). Ming Fu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Rui Ting Wang, Lingyun Wu, Weihua Zhang, Hongzhu Li, Robert O. Heuckeroth, Qi-Min zhan, Wei‐Ming Liao, Vincent Chi‐Hang Lui, Paul Kwong Hang Tam and Mai Har Sham. Their work appears in journals such as Gynecologic Oncology, Biochemical and Biophysical Research Communications, Antioxidants and Redox Signaling, BMC Musculoskeletal Disorders and PLoS ONE.
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.