Junjuan Li

1.3k citations
54 papers · 931 · h-index 18

Impact in

Papers in

    • Blood Pressure and Hypertension Studies 7
    • Cardiovascular Health and Disease Prevention 6
    • Cardiovascular Health and Risk Factors 4
    • Chronic Kidney Disease and Diabetes 9
    • Gout, Hyperuricemia, Uric Acid 3

Junjuan Li

53 papers receiving 920 citations

Peers

Junjuan Li
Comparison fields: 5 of 114
  • Nephrology 138
  • Sensory Systems 39
  • Cardiology and Cardiovascular Medicine 145
  • Endocrinology, Diabetes and Metabolism 68
  • Experimental and Cognitive Psychology 56
Replace Xin Wei with:
Xin Wei China
Michael Winterhalter Germany
Ionela Lăcrămioara Șerban Romania
Christoph Lutter Germany
Chaoran Ma United States
Cheng‐Chi Lee Taiwan
Soojin Lee South Korea
Koji Morita Japan
Min Young Seo South Korea
Junjuan Li relative to Xin Wei China Xin Wei's profile →
Citations per field
00.5×
Xin Wei · 1×
Citations per year

Countries citing papers authored by Junjuan Li

Since Specialization
Citations

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

Fields of papers citing papers by Junjuan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017118
2 201683
3 201778
4 201457
5 201846
6 201845
7 201643
8 201729
9 201824
10 201823
11 202422
12 202221
13 201920
14 201720
15 201519
16 202318
17 202418
18 201517
19 201716
20 201916

About Junjuan Li

Junjuan Li is a scholar working on Cardiology and Cardiovascular Medicine, Nephrology, Epidemiology, Pathology and Forensic Medicine and Molecular Biology, having authored 54 papers that have together received 931 indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (9 papers), Blood Pressure and Hypertension Studies (7 papers), Cardiovascular Health and Disease Prevention (6 papers), Cardiovascular Health and Risk Factors (4 papers), Gout, Hyperuricemia, Uric Acid (3 papers), Sodium Intake and Health (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Olfactory and Sensory Function Studies (2 papers). The work is most often cited by research in Nephrology (138 citations), Sensory Systems (39 citations), Cardiology and Cardiovascular Medicine (145 citations), Endocrinology, Diabetes and Metabolism (68 citations) and Experimental and Cognitive Psychology (56 citations). Junjuan Li has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Shouling Wu, Xiang Gao, Shuohua Chen, Yuntao Wu, Gregory C. Shearer, Shue Huang, Zhe Huang, Milena Pavlova, Alice H. Lichtenstein and Baoqi Zuo. Their work appears in journals such as Journal of the American Heart Association, PLoS ONE, Journal of Clinical Hypertension, Neurology and Scientific Reports.

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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