Zhi‐Chun Gu

3.3k citations
145 papers · 2.3k indexed · h-index 23

Impact in

Papers in

Zhi‐Chun Gu

133 papers receiving 2.2k citations

Peers

Zhi‐Chun Gu
Comparison fields: 5 of 184
  • Internal Medicine 228
  • Cardiology and Cardiovascular Medicine 587
  • Applied Microbiology and Biotechnology 41
  • Infectious Diseases 283
  • Molecular Medicine 65
Replace Wai K. Leung with:
Wai K. Leung Hong Kong
Ying Wang China
John H. Boyd Canada
Hans‐Georg Eichler Austria
Alawi Alsheikh‐Ali United Arab Emirates
KyungMann Kim United States
Dimitriοs Schizas Greece
Richard A. Preston United States
Reza Tabrizi Iran
Moray J. Campbell United States
Zhi‐Chun Gu relative to Wai K. Leung Hong Kong Wai K. Leung's profile →
Citations per field
00.5×2.7×
Wai K. Leung · 1×
Citations per year

Countries citing papers authored by Zhi‐Chun Gu

Since Specialization
Citations

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

Fields of papers citing papers by Zhi‐Chun Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhi‐Chun Gu. 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 Zhi‐Chun Gu. The network helps show where Zhi‐Chun Gu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202516
2 20251
3 20251
4 20240
5 20240
6 20240
7 20241
8 20242
9 20237
10 20236
11 20230
12 202212
13 2021111
14 20217
15 20204
16 202013
17 201964
18 20181
19 20188
20 201622

About Zhi‐Chun Gu

Zhi‐Chun Gu is a scholar working on Internal Medicine, Cardiology and Cardiovascular Medicine, Geriatrics and Gerontology, Applied Microbiology and Biotechnology and Emergency Medical Services, having authored 145 papers that have together received 2.3k indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (47 papers), Venous Thromboembolism Diagnosis and Management (30 papers), Cardiac Arrhythmias and Treatments (22 papers), Antiplatelet Therapy and Cardiovascular Diseases (17 papers), Diabetes Treatment and Management (11 papers), Health Systems, Economic Evaluations, Quality of Life (9 papers), COVID-19 Clinical Research Studies (8 papers) and Long-Term Effects of COVID-19 (7 papers). The work is most often cited by research in Internal Medicine (228 citations), Cardiology and Cardiovascular Medicine (587 citations), Applied Microbiology and Biotechnology (41 citations), Infectious Diseases (283 citations) and Molecular Medicine (65 citations). Zhi‐Chun Gu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hou‐Wen Lin, Yuetian Yu, Long Shen, Han Zhong, Jun Pu, Cheng Zhu, Qiongfang Zha, Yujie Li, Zhongheng Zhang and Erzhen Chen. Their work appears in journals such as Frontiers in Pharmacology, Annals of Translational Medicine, Medicine, Annals of Palliative Medicine and Frontiers in Cardiovascular 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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