Mingxi Li
Impact in
- Spectroscopy top 0.5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
Papers in
- Nephrology 17
- Renal Diseases and Glomerulopathies 11
- Dialysis and Renal Disease Management 3
- Spectroscopy 10
- Advanced Proteomics Techniques and Applications 10
- Co-authors
- Neil L. Kelleher (11 shared papers)Ning Gu (10 shared papers)Kenneth R. Durbin (6 shared papers)Fang Yang (11 shared papers)Leonid Zamdborg (6 shared papers)Paul M. Thomas (4 shared papers)John C. Tran (4 shared papers)Steve M. M. Sweet (4 shared papers)
- Journals
- BMC Nephrology (5 papers)Scientific Reports (4 papers)Frontiers in Microbiology (3 papers)Science China Materials (2 papers)PeerJ (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Mingxi Li
117 papers receiving 3.4k citations
Mingxi Li's Hit Papers
Peers
Comparison fields: 5 of 113
- Spectroscopy 749
- Nephrology 220
- Biomaterials 192
- Computer Vision and Pattern Recognition 254
- Endocrine and Autonomic Systems 33
Countries citing papers authored by Mingxi Li
This map shows the geographic impact of Mingxi Li'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 Mingxi Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingxi Li more than expected).
Fields of papers citing papers by Mingxi Li
This network shows the impact of papers produced by Mingxi Li. 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 Mingxi Li. The network helps show where Mingxi Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingxi Li, 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 125 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mapping intact protein isoforms in discovery mode using top-down proteomics Hit paper breakdown → | 2011 | 556 |
| 2 | 2020 | 246 | |
| 3 | 2022 | 191 | |
| 4 | 2009 | 188 | |
| 5 | 2017 | 134 | |
| 6 | 2011 | 109 | |
| 7 | 2012 | 101 | |
| 8 | 2018 | 101 | |
| 9 | 2022 | 74 | |
| 10 | 2009 | 69 | |
| 11 | 2018 | 68 | |
| 12 | 2013 | 66 | |
| 13 | 2018 | 66 | |
| 14 | 2018 | 64 | |
| 15 | 2008 | 58 | |
| 16 | 2022 | 58 | |
| 17 | 2010 | 56 | |
| 18 | 2012 | 49 | |
| 19 | 2017 | 47 | |
| 20 | 2010 | 46 |
About Mingxi Li
Mingxi Li is a scholar working on Nephrology, Spectroscopy, Dermatology, Infectious Diseases and Biomaterials, having authored 125 papers that have together received 3.5k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (11 papers), Advanced Proteomics Techniques and Applications (10 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Dermatologic Treatments and Research (5 papers), Advanced Image Processing Techniques (4 papers), Vasculitis and related conditions (3 papers), Nanoparticle-Based Drug Delivery (3 papers) and Dialysis and Renal Disease Management (3 papers). The work is most often cited by research in Spectroscopy (749 citations), Nephrology (220 citations), Biomaterials (192 citations), Computer Vision and Pattern Recognition (254 citations) and Endocrine and Autonomic Systems (33 citations). Mingxi Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Neil L. Kelleher, Ning Gu, Kenneth R. Durbin, Fang Yang, Leonid Zamdborg, Paul M. Thomas, John C. Tran, Steve M. M. Sweet, Bryan P. Early and Jinpeng Chen. Their work appears in journals such as BMC Nephrology, Scientific Reports, Frontiers in Microbiology, Science China Materials and PeerJ.
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.