Ming Pei
Impact in
- Rheumatology top 0.2%
- Osteoarthritis Treatment and Mechanisms
- Genetics top 0.5%
- Mesenchymal stem cell research
Papers in
- Rheumatology 54
- Osteoarthritis Treatment and Mechanisms 54
- Genetics 46
- Mesenchymal stem cell research 46
- Co-authors
- Fan He (33 shared papers)Jingting Li (22 shared papers)Gordana Vunjak‐Novakovic (6 shared papers)Song Chen (8 shared papers)Tyler Pizzute (7 shared papers)Vincent L. Kish (3 shared papers)Lisa E. Freed (4 shared papers)Joachim Seidel (3 shared papers)
- Journals
- Tissue Engineering Part A (7 papers)Acta Biomaterialia (5 papers)Biomaterials (5 papers)Cell and Tissue Research (4 papers)European Cells and Materials (4 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Ming Pei
125 papers receiving 5.1k citations
Peers
Comparison fields: 5 of 146
- Rheumatology 1.9k
- Genetics 1.3k
- Urology 717
- Biomaterials 935
- Surgery 1.5k
Countries citing papers authored by Ming Pei
This map shows the geographic impact of Ming Pei'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 Pei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Pei more than expected).
Fields of papers citing papers by Ming Pei
This network shows the impact of papers produced by Ming Pei. 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 Pei. The network helps show where Ming Pei may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Pei, 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 129 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 162 | |
| 2 | 2012 | 149 | |
| 3 | 2017 | 148 | |
| 4 | 2014 | 143 | |
| 5 | 2015 | 135 | |
| 6 | 2015 | 125 | |
| 7 | 2012 | 125 | |
| 8 | 2002 | 124 | |
| 9 | 2008 | 119 | |
| 10 | 2008 | 114 | |
| 11 | 2014 | 111 | |
| 12 | 2011 | 103 | |
| 13 | 2009 | 97 | |
| 14 | 2021 | 95 | |
| 15 | 2005 | 95 | |
| 16 | 2012 | 92 | |
| 17 | 2015 | 91 | |
| 18 | 2011 | 89 | |
| 19 | 2013 | 87 | |
| 20 | 2011 | 81 |
About Ming Pei
Ming Pei is a scholar working on Rheumatology, Genetics, Surgery, Molecular Biology and Urology, having authored 129 papers that have together received 5.2k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (54 papers), Mesenchymal stem cell research (46 papers), Periodontal Regeneration and Treatments (23 papers), Tissue Engineering and Regenerative Medicine (16 papers), Electrospun Nanofibers in Biomedical Applications (10 papers), Knee injuries and reconstruction techniques (10 papers), Cell Adhesion Molecules Research (9 papers) and Proteoglycans and glycosaminoglycans research (8 papers). The work is most often cited by research in Rheumatology (1.9k citations), Genetics (1.3k citations), Urology (717 citations), Biomaterials (935 citations) and Surgery (1.5k citations). Ming Pei has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Fan He, Jingting Li, Gordana Vunjak‐Novakovic, Song Chen, Tyler Pizzute, Vincent L. Kish, Lisa E. Freed, Joachim Seidel, Peiliang Fu and Haishan Wu. Their work appears in journals such as Tissue Engineering Part A, Acta Biomaterialia, Biomaterials, Cell and Tissue Research and European Cells and Materials.
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.