Liheng Guo

1.3k citations
49 papers · 891 indexed · 1 hit paper · h-index 18

Liheng Guo

48 papers receiving 876 citations

Hit Papers

Systemic inflammation markers and the prevalence of hyper...892023202620242025255075

Peers

Liheng Guo
Comparison fields: 5 of 101
  • Nephrology 179
  • Complementary and alternative medicine 169
  • Cardiology and Cardiovascular Medicine 280
  • Pharmacology 64
  • Internal Medicine 21
Replace Lingyun Zhou with:
Lingyun Zhou China
Minzhou Zhang China
Masako Waki Japan
Marcin Barylski Poland
Akihito Tanaka Japan
Steven Joseph Haas Australia
Xiang Hu China
Mehmet Şeneş Türkiye
Evelina Maria Gosav Romania
Yueqiang Wen China
Liheng Guo relative to Lingyun Zhou China Lingyun Zhou's profile →
Citations per field
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Lingyun Zhou · 1×
Citations per year

Countries citing papers authored by Liheng Guo

Since Specialization
Citations

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

Fields of papers citing papers by Liheng Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20238
4 202023
5 20203
6 20206
7 202019
8 202019
9 201918
10 201912
11 201923
12 20184
13
[Cluster Analysis of Medication Laws for Treating Coronary Heart Disease by Distinguished Veteran Doctors of Traditional Chinese Medicine].
20166
14 201614
15 201639
16 201617
17 201514
18 20151
19 20146
20 201311

About Liheng Guo

Liheng Guo is a scholar working on Complementary and alternative medicine, Cardiology and Cardiovascular Medicine and Nephrology, having authored 49 papers that have together received 891 indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (11 papers), Cardiac Fibrosis and Remodeling (6 papers), Coronary Interventions and Diagnostics (5 papers), Acute Myocardial Infarction Research (5 papers), Traditional Chinese Medicine Studies (5 papers), Cardiac Ischemia and Reperfusion (5 papers), Biofield Effects and Biophysics (5 papers) and Cardiac electrophysiology and arrhythmias (4 papers). The work is most often cited by research in Nephrology (179 citations), Complementary and alternative medicine (169 citations) and Cardiology and Cardiovascular Medicine (280 citations). Liheng Guo has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Minzhou Zhang, Rui‐Xiang Zeng, Shuai Mao, Shuai Mao, Xin Yin, Lu Jiang, Xuehui Liu, Xin Yin, Xin Huang and Guangping Wu. Their work appears in journals such as The Lancet, Journal of the American College of Cardiology and Chemical Engineering Journal.

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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