Liling Chen

81 papers receiving 1.6k citations

Peers

Liling Chen
Comparison fields: 5 of 126
  • Cell Biology 319
  • Nephrology 96
  • Biological Psychiatry 25
  • Pulmonary and Respiratory Medicine 324
  • Inorganic Chemistry 131
Replace Xiaoli Yang with:
Xiaoli Yang China
David Gallo United States
Jose Luis García‐Giménez Spain
Ciro Coletta United States
Danni Li China
Hiroaki Tanaka Japan
Suzanne M. Cloonan United States
Pengfei Ge China
Bartosz Szczęsny United States
Jie Bai China
Liling Chen relative to Xiaoli Yang China Xiaoli Yang's profile →
Citations per field
00.5×2.8×
Xiaoli Yang · 1×
Citations per year

Countries citing papers authored by Liling Chen

Since Specialization
Citations

This map shows the geographic impact of Liling 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 Liling Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liling Chen more than expected).

Fields of papers citing papers by Liling Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liling 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 Liling Chen. The network helps show where Liling Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Liling 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 Liling Chen Line = papers co-authored together Liling Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006362
2 2022155
3 2004149
4 200868
5 202267
6 200765
7 200765
8 202351
9 202243
10 202331
11 201829
12 201125
13 201325
14 201721
15 201921
16 202021
17 202320
18 201619
19 202217
20 202316

About Liling Chen

Liling Chen is a scholar working on Nephrology, Biological Psychiatry, Geriatrics and Gerontology, Cardiology and Cardiovascular Medicine and Behavioral Neuroscience, having authored 87 papers that have together received 1.6k indexed citations. Recurring topics across this work include Acute Kidney Injury Research (9 papers), Chronic Kidney Disease and Diabetes (9 papers), Cardiac Imaging and Diagnostics (6 papers), Immune Cell Function and Interaction (6 papers), Cystic Fibrosis Research Advances (5 papers), Cardiovascular Function and Risk Factors (5 papers), Nutrition and Health in Aging (5 papers) and Inflammatory Biomarkers in Disease Prognosis (4 papers). The work is most often cited by research in Cell Biology (319 citations), Nephrology (96 citations), Biological Psychiatry (25 citations), Pulmonary and Respiratory Medicine (324 citations) and Inorganic Chemistry (131 citations). Liling Chen has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Douglas Cyr, Cam Patterson, Chun-Yang Fan, J. Michael Younger, Hong-Yu Ren, Meredith F.N. Rosser, Emma L. Turnbull, Shanlin Qiao, Yongqi Hu and Haining Liu. Their work appears in journals such as Frontiers in Cardiovascular Medicine, Frontiers in Nutrition, BMC Cardiovascular Disorders, Clinical Interventions in Aging and Journal of Inflammation Research.

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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