Guangfa Zhu

1.1k citations
17 papers · 572 indexed · 1 hit paper · h-index 7

Guangfa Zhu

15 papers receiving 557 citations

Hit Papers

Epidemiologic and Clinical Characteristics of Novel Coron...4752020202620222024100200300400

Peers

Guangfa Zhu
Comparison fields: 5 of 84
  • Infectious Diseases 368
  • Modeling and Simulation 66
  • Neurology 169
  • Internal Medicine 18
  • General Dentistry 8
Replace Yongsheng Xu with:
Yongsheng Xu China
Francesco Mojoli Italy
Fan Cheng China
Ashan Pan China
Jiafeng Zheng China
Juan A. Siordia United States
Ying Ying Chua Singapore
Neeraj G. Patel United States
Srikanth Naramala United States
Guangfa Zhu relative to Yongsheng Xu China Yongsheng Xu's profile →
Citations per field
00.5×2.9×
Yongsheng Xu · 1×
Citations per year

Countries citing papers authored by Guangfa Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Guangfa Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

17 of 17 papers shown
#Work
1 20251
2 20232
3 20235
4 20224
5 20220
6 202014
7 202013
8
Epidemiologic and Clinical Characteristics of Novel Coronavirus Infections Involving 13 Patients Outside Wuhan, Chinabreakdown →
2020475
9 20191
10 20181
11 201722
12 201616
13 20169
14 20160
15
[Diagnosis and surgical treatment of pulmonary artery sarcoma].
20141
16 20146
17
[The clinical analysis of 54 cases for the surgical treatment of pulmonary embolism].
20082

About Guangfa Zhu

Guangfa Zhu is a scholar working on Internal Medicine, Molecular Medicine and Cardiology and Cardiovascular Medicine, having authored 17 papers that have together received 572 indexed citations. Recurring topics across this work include Cardiac tumors and thrombi (4 papers), Pulmonary Hypertension Research and Treatments (4 papers), Orthopedic Infections and Treatments (3 papers), Infective Endocarditis Diagnosis and Management (3 papers), Antibiotic Resistance in Bacteria (2 papers), Venous Thromboembolism Diagnosis and Management (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper) and Cardiovascular Disease and Adiposity (1 paper). The work is most often cited by research in Infectious Diseases (368 citations), Modeling and Simulation (66 citations) and Neurology (169 citations). Guangfa Zhu has collaborated with scholars based in China, United States and Austria. Frequent co-authors include Lai Wei, Lokesh Sharma, Minggui Lin, Charles S. Dela Cruz, De Chang, Lixin Xie, Dong Chen, Hui‐Li Gan, Xiaoyong Huang and Zhe Zhang. Their work appears in journals such as JAMA, CHEST Journal and Clinical Rheumatology.

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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