M. Chen-Xu
Impact in
- Nephrology top 0.5%
- Gout, Hyperuricemia, Uric Acid
- Pathology and Forensic Medicine top 10%
- Alcohol Consumption and Health Effects
Papers in
-
- Gout, Hyperuricemia, Uric Acid 2
-
- Antiplatelet Therapy and Cardiovascular Diseases 2
- Co-authors
- Hyon K. Choi (3 shared papers)Chio Yokose (3 shared papers)Michael H. Pillinger (1 shared paper)John Highton (1 shared paper)Nicola Dalbeth (1 shared paper)Ruth Topless (1 shared paper)Malcolm Smith (1 shared paper)Michael J. Nissen (1 shared paper)
- Journals
- Annals of the Rheumatic Diseases (2 papers)Arthritis & Rheumatology (1 paper)Arthritis Research & Therapy (1 paper)Frontiers in Immunology (1 paper)Science Advances (1 paper)
- Partner nations
- New ZealandUnited StatesAustralia
In The Last Decade
M. Chen-Xu
6 papers receiving 749 citations
M. Chen-Xu's Hit Papers
Peers
Comparison fields: 5 of 68
- Nephrology 624
- Pathology and Forensic Medicine 130
- Rheumatology 82
- Pharmacology 47
- Surgery 116
Countries citing papers authored by M. Chen-Xu
This map shows the geographic impact of M. Chen-Xu'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 M. Chen-Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Chen-Xu more than expected).
Fields of papers citing papers by M. Chen-Xu
This network shows the impact of papers produced by M. Chen-Xu. 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 M. Chen-Xu. The network helps show where M. Chen-Xu may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Chen-Xu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Contemporary Prevalence of Gout and Hyperuricemia in the United States and Decadal Trends: The National Health and Nutrition Examination Survey, 2007–2016 Hit paper breakdown → | 2019 | 730 |
| 2 | 2010 | 28 | |
| 3 | 2019 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2018 | 1 | |
| 6 | 2025 | 1 | |
| 7 | 2012 | 0 | |
| 8 | 2012 | 0 |
About M. Chen-Xu
M. Chen-Xu is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine, Analytical Chemistry, Infectious Diseases and Surgery, having authored 8 papers that have together received 763 indexed citations. Recurring topics across this work include Antiplatelet Therapy and Cardiovascular Diseases (2 papers), Gout, Hyperuricemia, Uric Acid (2 papers), Analytical Methods in Pharmaceuticals (2 papers), Folate and B Vitamins Research (1 paper), Venous Thromboembolism Diagnosis and Management (1 paper), Heparin-Induced Thrombocytopenia and Thrombosis (1 paper), Vasculitis and related conditions (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Nephrology (624 citations), Pathology and Forensic Medicine (130 citations), Rheumatology (82 citations), Pharmacology (47 citations) and Surgery (116 citations). M. Chen-Xu has collaborated with scholars based in New Zealand, United States and Australia. Frequent co-authors include Hyon K. Choi, Chio Yokose, Michael H. Pillinger, John Highton, Nicola Dalbeth, Ruth Topless, Malcolm Smith, Michael J. Nissen, Gregory T. Jones and Peter Gow. Their work appears in journals such as Annals of the Rheumatic Diseases, Arthritis & Rheumatology, Arthritis Research & Therapy, Frontiers in Immunology and Science Advances.
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.