Lie Dai
Impact in
- Rheumatology top 1%
- Rheumatoid Arthritis Research and Therapies
- Osteoarthritis Treatment and Mechanisms
- Systemic Lupus Erythematosus Research
- Nephrology top 5%
- Gout, Hyperuricemia, Uric Acid
Papers in
- Rheumatology 42
- Rheumatoid Arthritis Research and Therapies 26
- Systemic Lupus Erythematosus Research 10
- Spondyloarthritis Studies and Treatments 4
- Musculoskeletal synovial abnormalities and treatments 3
- Nephrology 11
- Gout, Hyperuricemia, Uric Acid 9
- Co-authors
- Ying‐Qian Mo (44 shared papers)Jian-Da Ma (41 shared papers)Zheng Donglian (24 shared papers)Le‐Feng Chen (19 shared papers)H. Ralph Schumacher (13 shared papers)Jun Jing (10 shared papers)Frank Peßler (13 shared papers)Eugene Einhorn (7 shared papers)
- Journals
- Clinical Rheumatology (8 papers)Arthritis Research & Therapy (8 papers)The Journal of Rheumatology (5 papers)Annals of the Rheumatic Diseases (5 papers)Frontiers in Immunology (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Lie Dai
98 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 95
- Rheumatology 554
- Nephrology 153
- Microbiology 10
- Hepatology 76
- Immunology 174
Countries citing papers authored by Lie Dai
This map shows the geographic impact of Lie Dai'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 Lie Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lie Dai more than expected).
Fields of papers citing papers by Lie Dai
This network shows the impact of papers produced by Lie Dai. 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 Lie Dai. The network helps show where Lie Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Lie Dai, 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 101 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 117 | |
| 2 | 2008 | 89 | |
| 3 | 2017 | 87 | |
| 4 | 2008 | 71 | |
| 5 | 2014 | 70 | |
| 6 | 2013 | 63 | |
| 7 | 2019 | 62 | |
| 8 | 2015 | 47 | |
| 9 | 2005 | 46 | |
| 10 | 2008 | 45 | |
| 11 | 2019 | 43 | |
| 12 | 2007 | 42 | |
| 13 | 2020 | 40 | |
| 14 | 2015 | 36 | |
| 15 | 2014 | 34 | |
| 16 | 2013 | 31 | |
| 17 | 2022 | 26 | |
| 18 | 2019 | 25 | |
| 19 | 2022 | 23 | |
| 20 | 2013 | 22 |
About Lie Dai
Lie Dai is a scholar working on Rheumatology, Nephrology, Epidemiology, Immunology and Hepatology, having authored 101 papers that have together received 1.6k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (26 papers), Systemic Lupus Erythematosus Research (10 papers), Gout, Hyperuricemia, Uric Acid (9 papers), Hepatitis B Virus Studies (5 papers), Spondyloarthritis Studies and Treatments (4 papers), Salivary Gland Disorders and Functions (4 papers), Musculoskeletal synovial abnormalities and treatments (3 papers) and Nutrition and Health in Aging (3 papers). The work is most often cited by research in Rheumatology (554 citations), Nephrology (153 citations), Microbiology (10 citations), Hepatology (76 citations) and Immunology (174 citations). Lie Dai has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Ying‐Qian Mo, Jian-Da Ma, Zheng Donglian, Le‐Feng Chen, H. Ralph Schumacher, Jun Jing, Frank Peßler, Eugene Einhorn, Frank Pessler and Cèsar Díaz‐Torné. Their work appears in journals such as Clinical Rheumatology, Arthritis Research & Therapy, The Journal of Rheumatology, Annals of the Rheumatic Diseases and Frontiers in Immunology.
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.