Xiaolan Chen

2.9k citations
103 papers · 2.3k · h-index 27

Impact in

    • Artificial Intelligence in Healthcare and Education
    • Circular RNAs in diseases
    • Advanced biosensing and bioanalysis techniques
    • Muscle Physiology and Disorders
    • Angiogenesis and VEGF in Cancer
    • RNA Interference and Gene Delivery

Papers in

    • Renal Diseases and Glomerulopathies 4
    • Chronic Kidney Disease and Diabetes 3
    • Circular RNAs in diseases 8
    • Advanced biosensing and bioanalysis techniques 7
    • Muscle Physiology and Disorders 4
    • RNA Interference and Gene Delivery 3

Xiaolan Chen

97 papers receiving 2.2k citations

Peers

Xiaolan Chen
Comparison fields: 5 of 94
  • Health Informatics 108
  • Molecular Biology 837
  • Nephrology 98
  • Reproductive Medicine 46
  • Oncology 76
Replace Anna Malashicheva with:
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Shengping Zhang China
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Yuxiang Wang China
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Xiaolan Chen relative to Anna Malashicheva Russia Anna Malashicheva's profile →
Citations per field
00.5×10×20×27×
Anna Malashicheva · 1×
Citations per year

Countries citing papers authored by Xiaolan Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Xiaolan Chen Line = papers co-authored together Xiaolan Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007204
2 2009148
3 2010120
4 201797
5 201892
6 201992
7 201879
8 200963
9 201755
10 200554
11 201851
12 202148
13 202446
14 202444
15 201239
16 201539
17 201638
18 202238
19 201036
20 201635

About Xiaolan Chen

Xiaolan Chen is a scholar working on Nephrology, Molecular Biology, Health Informatics, Radiology, Nuclear Medicine and Imaging and Complementary and alternative medicine, having authored 103 papers that have together received 2.3k indexed citations. Recurring topics across this work include Circular RNAs in diseases (8 papers), Advanced biosensing and bioanalysis techniques (7 papers), Artificial Intelligence in Healthcare and Education (6 papers), Renal Diseases and Glomerulopathies (4 papers), Muscle Physiology and Disorders (4 papers), Retinal Imaging and Analysis (4 papers), Chronic Kidney Disease and Diabetes (3 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Health Informatics (108 citations), Molecular Biology (837 citations), Nephrology (98 citations), Reproductive Medicine (46 citations) and Oncology (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 Meghan B. O’Donoghue. 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.

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