Jue Li

2.8k citations
134 papers · 2.1k · h-index 25

Impact in

Papers in

Jue Li

128 papers receiving 2.0k citations

Peers

Jue Li
Comparison fields: 5 of 148
  • Nephrology 109
  • Experimental and Cognitive Psychology 196
  • Cardiology and Cardiovascular Medicine 238
  • Endocrinology, Diabetes and Metabolism 151
  • Internal Medicine 30
Replace Jing Ma with:
Jing Ma China
Wei Dong China
Naoko Mukai Japan
Jiali Wang China
Xiaoshu Cheng China
Amy M. Mason United Kingdom
Pietro Scicchitano Italy
Marco Zaffanello Italy
Louis F. Martin United States
Maria Carolina Borges United Kingdom
Jue Li relative to Jing Ma China Jing Ma's profile →
Citations per field
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Jing Ma · 1×
Citations per year

Countries citing papers authored by Jue Li

Since Specialization
Citations

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

Fields of papers citing papers by Jue Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 134 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013249
2 2020170
3 2007100
4 202167
5 200957
6 200751
7 200850
8 200348
9 202047
10 202147
11 200640
12 201238
13 200838
14 201435
15 200431
16 201730
17 201030
18 200729
19 202128
20 201727

About Jue Li

Jue Li is a scholar working on Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Organic Chemistry, having authored 134 papers that have together received 2.1k indexed citations. Recurring topics across this work include Peripheral Artery Disease Management (15 papers), Chronic Kidney Disease and Diabetes (6 papers), Diagnosis and Treatment of Venous Diseases (5 papers), Catalytic C–H Functionalization Methods (5 papers), Diet and metabolism studies (5 papers), Cerebrovascular and Carotid Artery Diseases (4 papers), Carcinogens and Genotoxicity Assessment (4 papers) and Synthesis and Catalytic Reactions (4 papers). The work is most often cited by research in Nephrology (109 citations), Experimental and Cognitive Psychology (196 citations), Cardiology and Cardiovascular Medicine (238 citations), Endocrinology, Diabetes and Metabolism (151 citations) and Internal Medicine (30 citations). Jue Li has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Dayi Hu, Liqiang Zheng, Xingang Zhang, Yingxian Sun, Xiaofan Guo, Xiaoyu Zhang, Jun Wang, Yingxian Sun, Li‐Qiang Qin and Akio Sato. Their work appears in journals such as Circulation Journal, Tetrahedron Letters, Scientific Reports, PLoS ONE and Journal of the American College of Cardiology.

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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