Congzhi Wang

633 total citations
32 papers, 332 citations indexed

About

Congzhi Wang is a scholar working on Clinical Psychology, General Health Professions and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Congzhi Wang has authored 32 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Clinical Psychology, 7 papers in General Health Professions and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Congzhi Wang's work include COVID-19 and Mental Health (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Frailty in Older Adults (4 papers). Congzhi Wang is often cited by papers focused on COVID-19 and Mental Health (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Frailty in Older Adults (4 papers). Congzhi Wang collaborates with scholars based in China. Congzhi Wang's co-authors include Yunxiao Lei, Ting Yuan, Lu Sun, Ying Hua, Haiyang Liu, Jiaofeng Gui, Yang Liu, Mingming Liu, Huanhuan Wei and Leilei Guo and has published in prestigious journals such as Scientific Reports, BMC Public Health and BioMed Research International.

In The Last Decade

Congzhi Wang

29 papers receiving 331 citations

Peers

Congzhi Wang
Comparison fields: 5 of 70
  • Epidemiology 115
  • Endocrinology, Diabetes and Metabolism 115
  • Physiology 80
  • Public Health, Environmental and Occupational Health 70
  • Cardiology and Cardiovascular Medicine 68
Replace Don Hire with:
Don Hire United States
Lauren Brown Canada
U. E. Ntuk United Kingdom
Choon How How Singapore
Cristina Franco‐Antonio Spain
Chiara Marzari Italy
Monique Williams United States
Patricia Feeney United States
Д. В. Денисова Russia
Marc Casajuana‐Closas Spain
Don Hire United States View profile →
Citations per field, relative to Congzhi Wang
Congzhi Wang · 1×
Citations per year, relative to Congzhi Wang
Congzhi Wang · 1×

Countries citing papers authored by Congzhi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Congzhi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Congzhi Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Congzhi Wang. A scholar is included among the top collaborators of Congzhi Wang 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 Congzhi Wang. Congzhi Wang 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 1
2 2
3 20
4 3
5 2
6 5
7 9
8 9
9 1
10 25
11 5
12 8
13 7
14 49
15 2
16 22
17 0
18 49
19 3
20 8

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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