Bailing Li

2.1k citations
54 papers · 1.5k indexed · h-index 21

Impact in

Papers in

Bailing Li

53 papers receiving 1.4k citations

Peers

Bailing Li
Comparison fields: 5 of 124
  • Endocrinology, Diabetes and Metabolism 394
  • Endocrine and Autonomic Systems 134
  • Surgery 516
  • Physiology 256
  • Cardiology and Cardiovascular Medicine 178
Replace Kuo‐Chun Hung with:
Kuo‐Chun Hung Taiwan
Jeffrey I. Joseph United States
Teemu Moilanen Finland
Edgaras Stankevıčıus Lithuania
Jutta Keller Germany
Özlem Yalçın Türkiye
Lijun Tang China
Di Zhu China
Shigeo Kono Japan
Mary I. Townsley United States
Bailing Li relative to Kuo‐Chun Hung Taiwan Kuo‐Chun Hung's profile →
Citations per field
00.5×1.5×2.4×
Kuo‐Chun Hung · 1×
Citations per year

Countries citing papers authored by Bailing Li

Since Specialization
Citations

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

Fields of papers citing papers by Bailing Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20232
4 202345
5 20232
6 202315
7 202315
8 20236
9 20225
10 20226
11 20212
12 202023
13 202032
14 2017181
15 201654
16 201425
17 20124
18 20127
19
[Prevalence of coronary artery disease in patients with rheumatic heart disease in China].
20078
20 200520

About Bailing Li

Bailing Li is a scholar working on Cardiology and Cardiovascular Medicine, Complementary and alternative medicine, Pulmonary and Respiratory Medicine, Pharmacology and Endocrinology, Diabetes and Metabolism, having authored 54 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (13 papers), Aortic Disease and Treatment Approaches (7 papers), Traditional Chinese Medicine Analysis (5 papers), Pulmonary Hypertension Research and Treatments (4 papers), Cardiac electrophysiology and arrhythmias (4 papers), Mechanical Circulatory Support Devices (4 papers), Diabetes Treatment and Management (4 papers) and Cardiac, Anesthesia and Surgical Outcomes (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (394 citations), Endocrine and Autonomic Systems (134 citations), Surgery (516 citations), Physiology (256 citations) and Cardiology and Cardiovascular Medicine (178 citations). Bailing Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Darleen A. Sandoval, Randy J. Seeley, Daniel J. Drucker, Adam P. Chambers, Doris A. Stoffers, Diego Pérez–Tilve, David A. D’Alessio, Hilary Wilson, Karen K. Ryan and John Dedman. Their work appears in journals such as Cell Metabolism, International Journal of Cardiology, Advanced Functional Materials, Medicine and Frontiers in Cardiovascular Medicine.

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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2026