Bailing Li

54 papers receiving 1.5k citations

Peers

Bailing Li
Comparison fields: 5 of 117
  • Endocrinology, Diabetes and Metabolism 345
  • Endocrine and Autonomic Systems 116
  • Surgery 467
  • Physiology 205
  • Cardiology and Cardiovascular Medicine 136
Replace Petra Kotzbeck with:
Petra Kotzbeck Austria
Lijun Tang China
Xuewen Xu China
Kuo‐Chun Hung Taiwan
Jeffrey I. Joseph United States
A. A. Driedger Canada
Jia‐Wei Lin Taiwan
Di Zhu China
Bonnie Wang United States
Ralf Lobmann Germany
Bailing Li relative to Petra Kotzbeck Austria Petra Kotzbeck's profile →
Citations per field
00.5×2.8×
Petra Kotzbeck · 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

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013238
2 2017181
3 2014139
4 2020116
5 202266
6 201655
7 202350
8 200344
9 202343
10 201434
11 201634
12 201333
13 202032
14 201329
15 202128
16 201325
17 200625
18 201425
19 202024
20 200521

About Bailing Li

Bailing Li is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Molecular Biology, Pulmonary and Respiratory Medicine and Electrical and Electronic Engineering, having authored 56 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (7 papers), Traditional Chinese Medicine Analysis (5 papers), Cardiac electrophysiology and arrhythmias (4 papers), Mechanical Circulatory Support Devices (4 papers), Diabetes Treatment and Management (4 papers), Ion channel regulation and function (4 papers), Advancements in Battery Materials (3 papers) and Pancreatic function and diabetes (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (345 citations), Endocrine and Autonomic Systems (116 citations), Surgery (467 citations), Physiology (205 citations) and Cardiology and Cardiovascular Medicine (136 citations). Bailing Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Randy J. Seeley, Darleen A. Sandoval, Adam P. Chambers, Daniel J. Drucker, Doris A. Stoffers, Diego Pérez–Tilve, David A. D’Alessio, Hilary Wilson, Karen K. Ryan and Marcia A. Kaetzel. Their work appears in journals such as International Journal of Cardiology, Advanced Functional Materials, Medicine, Frontiers in Cardiovascular Medicine and Cell Metabolism.

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.

Explore authors with similar magnitude of impact