Xiaolan Chen
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Molecular Biology top 5%
- Circular RNAs in diseases
- Advanced biosensing and bioanalysis techniques
- Muscle Physiology and Disorders
- Angiogenesis and VEGF in Cancer
Papers in
- Nephrology 16
- Chronic Kidney Disease and Diabetes 9
- Renal Diseases and Glomerulopathies 5
-
- Advanced biosensing and bioanalysis techniques 10
- Circular RNAs in diseases 9
- TGF-β signaling in diseases 7
- Co-authors
- Qinghua Nie (14 shared papers)Weihong Tan (5 shared papers)M.‐Carmen Estévez (4 shared papers)Hongjia Ouyang (7 shared papers)Zhijun Wang (8 shared papers)Yu‐Fen Huang (4 shared papers)Zhenhui Li (5 shared papers)Biao Chen (6 shared papers)
- Journals
- npj Digital Medicine (3 papers)PLoS ONE (3 papers)Bioscience Reports (3 papers)British Journal of Ophthalmology (3 papers)Frontiers in Genetics (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaolan Chen
97 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 125
- Health Informatics 132
- Molecular Biology 1.1k
- Nephrology 140
- Animal Science and Zoology 73
- Cancer Research 76
Countries citing papers authored by Xiaolan Chen
This map shows the geographic impact of Xiaolan Chen'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 Xiaolan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolan Chen more than expected).
Fields of papers citing papers by Xiaolan Chen
This network shows the impact of papers produced by Xiaolan Chen. 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 Xiaolan Chen. The network helps show where Xiaolan Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaolan Chen, 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 103 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 204 | |
| 2 | 2009 | 148 | |
| 3 | 2010 | 120 | |
| 4 | 2017 | 97 | |
| 5 | 2018 | 92 | |
| 6 | 2019 | 92 | |
| 7 | 2018 | 79 | |
| 8 | 2009 | 63 | |
| 9 | 2017 | 55 | |
| 10 | 2005 | 54 | |
| 11 | 2018 | 51 | |
| 12 | 2021 | 48 | |
| 13 | 2024 | 46 | |
| 14 | 2024 | 44 | |
| 15 | 2012 | 39 | |
| 16 | 2015 | 39 | |
| 17 | 2016 | 38 | |
| 18 | 2022 | 38 | |
| 19 | 2010 | 36 | |
| 20 | 2016 | 35 |
About Xiaolan Chen
Xiaolan Chen is a scholar working on Nephrology, Molecular Biology, Health Informatics, Pharmacology and Analytical Chemistry, having authored 103 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (10 papers), Chronic Kidney Disease and Diabetes (9 papers), Circular RNAs in diseases (9 papers), Artificial Intelligence in Healthcare and Education (8 papers), TGF-β signaling in diseases (7 papers), Renal Diseases and Glomerulopathies (5 papers), Retinal Imaging and Analysis (5 papers) and Inflammatory mediators and NSAID effects (5 papers). The work is most often cited by research in Health Informatics (132 citations), Molecular Biology (1.1k citations), Nephrology (140 citations), Animal Science and Zoology (73 citations) and Cancer Research (76 citations). Xiaolan Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Qinghua Nie, Weihong Tan, M.‐Carmen Estévez, Hongjia Ouyang, Zhijun Wang, Yu‐Fen Huang, Zhenhui Li, Biao Chen, Yan Chen and Jiao Yu. Their work appears in journals such as npj Digital Medicine, PLoS ONE, Bioscience Reports, British Journal of Ophthalmology and Frontiers in Genetics.
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.