Junjuan Li

1.2k citations
54 papers · 873 · h-index 17

Impact in

Papers in

Junjuan Li

50 papers receiving 862 citations

Peers

Junjuan Li
Comparison fields: 5 of 118
  • Nephrology 149
  • Cardiology and Cardiovascular Medicine 224
  • Sensory Systems 46
  • Endocrinology, Diabetes and Metabolism 140
  • Experimental and Cognitive Psychology 83
Replace Kang Chen with:
Kang Chen China
Kiminori Kato Japan
Mohammad Saadatnia Iran
Qinbo Yang China
Jingjing Yuan China
Young Hye Cho South Korea
Jung Hee Koh South Korea
Chaoran Ma United States
Masao Daimon Japan
Junjuan Li relative to Kang Chen China Kang Chen's profile →
Citations per field
00.5×10×13.8×
Kang Chen · 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 2017114
2 201678
3 201773
4 201454
5 201845
6 201642
7 201842
8 201728
9 201822
10 201822
11 201720
12 201519
13 202219
14 202418
15 201517
16 201917
17 202316
18 201916
19 201716
20 202415

About Junjuan Li

Junjuan Li is a scholar working on Cardiology and Cardiovascular Medicine, Nephrology, Epidemiology, Endocrinology, Diabetes and Metabolism and Pathology and Forensic Medicine, having authored 54 papers that have together received 873 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (18 papers), Chronic Kidney Disease and Diabetes (12 papers), Cardiovascular Health and Disease Prevention (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Cardiovascular Health and Risk Factors (5 papers), Sleep and related disorders (4 papers), Alcohol Consumption and Health Effects (4 papers) and Liver Disease Diagnosis and Treatment (4 papers). The work is most often cited by research in Nephrology (149 citations), Cardiology and Cardiovascular Medicine (224 citations), Sensory Systems (46 citations), Endocrinology, Diabetes and Metabolism (140 citations) and Experimental and Cognitive Psychology (83 citations). Junjuan Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Shouling Wu, Xiang Gao, Shuohua Chen, Yuntao Wu, Shue Huang, Gregory C. Shearer, Alice H. Lichtenstein, Zhe Huang, Milena Pavlova and Cheng Jin. Their work appears in journals such as Journal of the American Heart Association, PLoS ONE, Scientific Reports, Kidney & Blood Pressure Research and Annals of Clinical and Translational Neurology.

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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