Xiaomin Dai
Impact in
- Nephrology top 10%
- Renal Diseases and Glomerulopathies
- Rheumatology top 10%
- IgG4-Related and Inflammatory Diseases
- Systemic Lupus Erythematosus Research
Papers in
-
- Vasculitis and related conditions 19
- Cerebrovascular and Carotid Artery Diseases 4
- Nephrology 10
- Renal Diseases and Glomerulopathies 10
- Co-authors
- Lindi Jiang (17 shared papers)Lili Ma (20 shared papers)Ying Sun (17 shared papers)Huiyong Chen (17 shared papers)Lingying Ma (14 shared papers)Xiaomeng Cui (10 shared papers)Fuhua Yan (1 shared paper)Yinliang Li (1 shared paper)
- Journals
- Arthritis Research & Therapy (5 papers)Clinical Rheumatology (4 papers)International Journal of Hydrogen Energy (3 papers)Lara D. Veeken (3 papers)Frontiers in Immunology (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaomin Dai
37 papers receiving 349 citations
Peers
Comparison fields: 5 of 55
- Nephrology 64
- Rheumatology 98
- Pulmonary and Respiratory Medicine 211
- Immunology 92
- Hematology 29
Countries citing papers authored by Xiaomin Dai
This map shows the geographic impact of Xiaomin 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 Xiaomin Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaomin Dai more than expected).
Fields of papers citing papers by Xiaomin Dai
This network shows the impact of papers produced by Xiaomin 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 Xiaomin Dai. The network helps show where Xiaomin Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaomin 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 66 | |
| 2 | 2019 | 35 | |
| 3 | 2020 | 24 | |
| 4 | 2011 | 24 | |
| 5 | 2010 | 18 | |
| 6 | 2020 | 16 | |
| 7 | 2021 | 15 | |
| 8 | 2022 | 15 | |
| 9 | 2011 | 13 | |
| 10 | 2020 | 12 | |
| 11 | 2020 | 12 | |
| 12 | 2022 | 10 | |
| 13 | 2020 | 9 | |
| 14 | 2018 | 8 | |
| 15 | 2021 | 8 | |
| 16 | 2023 | 7 | |
| 17 | 2024 | 6 | |
| 18 | 2020 | 6 | |
| 19 | 2020 | 5 | |
| 20 | 2019 | 5 |
About Xiaomin Dai
Xiaomin Dai is a scholar working on Pulmonary and Respiratory Medicine, Nephrology, Rheumatology, Epidemiology and Immunology, having authored 45 papers that have together received 353 indexed citations. Recurring topics across this work include Vasculitis and related conditions (19 papers), Renal Diseases and Glomerulopathies (10 papers), Catalytic Processes in Materials Science (5 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), Cerebrovascular and Carotid Artery Diseases (4 papers), Systemic Lupus Erythematosus Research (4 papers), Catalysis and Oxidation Reactions (3 papers) and IgG4-Related and Inflammatory Diseases (3 papers). The work is most often cited by research in Nephrology (64 citations), Rheumatology (98 citations), Pulmonary and Respiratory Medicine (211 citations), Immunology (92 citations) and Hematology (29 citations). Xiaomin Dai has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lindi Jiang, Lili Ma, Ying Sun, Huiyong Chen, Lingying Ma, Xiaomeng Cui, Fuhua Yan, Yinliang Li, Dan Li and Xuejuan Jin. Their work appears in journals such as Arthritis Research & Therapy, Clinical Rheumatology, International Journal of Hydrogen Energy, Lara D. Veeken 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.