Ganwei Shi

692 total citations
26 papers, 448 citations indexed

About

Ganwei Shi is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ganwei Shi has authored 26 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pulmonary and Respiratory Medicine, 11 papers in Surgery and 10 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Ganwei Shi's work include Vascular Procedures and Complications (12 papers), Central Venous Catheters and Hemodialysis (8 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers). Ganwei Shi is often cited by papers focused on Vascular Procedures and Complications (12 papers), Central Venous Catheters and Hemodialysis (8 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers). Ganwei Shi collaborates with scholars based in China, Canada and United States. Ganwei Shi's co-authors include Gaojun Cai, Sheliang Xue, Wei Lü, Bifeng Zhang, Xiaolong Yu, Zhiying Huang, Lei Yu, Li Feng, Yanbin Song and Chunyan Ma and has published in prestigious journals such as PLoS ONE, Medicine and BMC Medicine.

In The Last Decade

Ganwei Shi

23 papers receiving 438 citations

Peers

Ganwei Shi
Comparison fields: 5 of 65
  • Cardiology and Cardiovascular Medicine 170
  • Surgery 164
  • Endocrinology, Diabetes and Metabolism 131
  • Pulmonary and Respiratory Medicine 130
  • Epidemiology 69
Replace Gaojun Cai with:
Gaojun Cai China
Cheng-Hsueh Wu Taiwan
Nikolaos Patsourakos Greece
Soon Bae Kim South Korea
Michela Mangano Italy
Sheliang Xue China
Jara Ampuero Spain
Catherine B. Brouwer Netherlands
F Gómez-Campderá Spain
Chun Gyoo Ihm South Korea
Gaojun Cai China View profile →
Citations per field, relative to Ganwei Shi
Ganwei Shi · 1×
Citations per year, relative to Ganwei Shi
Ganwei Shi · 1×

Countries citing papers authored by Ganwei Shi

Since Specialization
Citations

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

Fields of papers citing papers by Ganwei Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ganwei Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Ganwei Shi. A scholar is included among the top collaborators of Ganwei Shi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ganwei Shi. Ganwei Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 14
4 4
5 7
6 5
7 7
8 10
9 13
10 32
11 45
12 13
13 202
14 13
15 6
16 3
17 18
18 13
19 3
20 1

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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