Jue Li

2.7k citations
132 papers · 2.1k · h-index 25

Impact in

Papers in

Jue Li

124 papers receiving 2.0k citations

Peers

Jue Li
Comparison fields: 5 of 150
  • Cardiology and Cardiovascular Medicine 419
  • Internal Medicine 69
  • Nephrology 129
  • Experimental and Cognitive Psychology 224
  • Endocrinology, Diabetes and Metabolism 256
Replace Renzhe Cui with:
Renzhe Cui Japan
Amy M. Mason United Kingdom
Vanina Bongard France
Naoko Mukai Japan
Francesca Cortese Italy
Maria Carolina Borges United Kingdom
Stefano Masi Italy
John Yarnell United Kingdom
Robin Haring Germany
Pietro Scicchitano Italy
Jue Li relative to Renzhe Cui Japan Renzhe Cui's profile →
Citations per field
00.5×2.6×
Renzhe Cui · 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 132 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013248
2 2020168
3 2007100
4 202162
5 200957
6 200751
7 200850
8 200348
9 202047
10 202145
11 200640
12 201238
13 200838
14 201435
15 200431
16 201031
17 200729
18 201728
19 200727
20 201726

About Jue Li

Jue Li is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery, Epidemiology and Pulmonary and Respiratory Medicine, having authored 132 papers that have together received 2.1k indexed citations. Recurring topics across this work include Peripheral Artery Disease Management (15 papers), Diagnosis and Treatment of Venous Diseases (8 papers), Cardiovascular Health and Disease Prevention (7 papers), Chronic Kidney Disease and Diabetes (7 papers), Dialysis and Renal Disease Management (7 papers), Diet and metabolism studies (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers) and Lipoproteins and Cardiovascular Health (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (419 citations), Internal Medicine (69 citations), Nephrology (129 citations), Experimental and Cognitive Psychology (224 citations) and Endocrinology, Diabetes and Metabolism (256 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, Xiaoyu Zhang, Jun Wang, Xiaofan Guo, Akio Sato, Yingxian Sun and Li‐Qiang Qin. Their work appears in journals such as Circulation Journal, Scientific Reports, Tetrahedron Letters, BMC Public Health 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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