Hailing Li

1.2k citations
57 papers · 985 · h-index 17

Impact in

Papers in

    • Atrial Fibrillation Management and Outcomes 8
    • Cardiac Arrhythmias and Treatments 4
    • Cardiac electrophysiology and arrhythmias 3
    • Cardiac pacing and defibrillation studies 2
    • Adipokines, Inflammation, and Metabolic Diseases 7
    • Influenza Virus Research Studies 2

Hailing Li

55 papers receiving 969 citations

Peers

Hailing Li
Comparison fields: 5 of 93
  • Cardiology and Cardiovascular Medicine 174
  • Cancer Research 105
  • Physiology 161
  • Epidemiology 196
  • Clinical Biochemistry 29
Replace Takeyoshi Murano with:
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Sarju K. Ralhan India
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Gemma Pujadas Spain
Huishou Zhao China
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Concetta Di Febbo Italy
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Hailing Li relative to Takeyoshi Murano Japan Takeyoshi Murano's profile →
Citations per field
00.5×1.5×2×2.4×
Takeyoshi Murano · 1×
Citations per year

Countries citing papers authored by Hailing Li

Since Specialization
Citations

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

Fields of papers citing papers by Hailing Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201991
2 201686
3 201377
4 201276
5 201461
6 201758
7 201257
8 201752
9 201346
10 201528
11 201424
12 201723
13 201321
14 201319
15 201819
16 201918
17 201517
18 201716
19 201513
20 202213

About Hailing Li

Hailing Li is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Internal Medicine, Clinical Biochemistry and Nephrology, having authored 57 papers that have together received 985 indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (8 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Cardiac Arrhythmias and Treatments (4 papers), Cardiac electrophysiology and arrhythmias (3 papers), Chronic Kidney Disease and Diabetes (2 papers), Cardiac pacing and defibrillation studies (2 papers), Influenza Virus Research Studies (2 papers) and Sarcoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (174 citations), Cancer Research (105 citations), Physiology (161 citations), Epidemiology (196 citations) and Clinical Biochemistry (29 citations). Hailing Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Wenhui Peng, Jianhui Zhuang, Yawei Xu, Weixia Jian, Peipei Luan, Yidong Wei, Wei‐Ming Li, Yifan Zhao, Wenxin Kou and Weiming Li. Their work appears in journals such as PLoS ONE, Journal of the American Heart Association, Frontiers in Cardiovascular Medicine, The American Journal of the Medical Sciences and Annals of Translational Medicine.

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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