Chao Pang
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Public Health, Environmental and Occupational Health top 10%
- Epidemiology
- Co-authors
- Yongcheng RenDongsheng HuJingzhi ZhaoLei YinBingyuan WangChongjian WangYang ZhaoChengyi Han
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers)Obesity, Physical Activity, Diet (6 papers)Cardiovascular Disease and Adiposity (5 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismCardiology and Cardiovascular MedicinePublic Health, Environmental and Occupational Health
- Partner nations
- ChinaNetherlandsPakistan
In The Last Decade
Chao Pang
43 papers receiving 875 citations
Peers
Comparison fields: 5 of 87
- Endocrinology, Diabetes and Metabolism 282
- Molecular Biology 260
- Cardiology and Cardiovascular Medicine 213
- Public Health, Environmental and Occupational Health 209
- Epidemiology 154
Countries citing papers authored by Chao Pang
This map shows the geographic impact of Chao Pang'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 Chao Pang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao Pang more than expected).
Fields of papers citing papers by Chao Pang
This network shows the impact of papers produced by Chao Pang. 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 Chao Pang. The network helps show where Chao Pang may publish in the future.
Co-authorship network of co-authors of Chao Pang
This figure shows the co-authorship network connecting the top 25 collaborators of Chao Pang. A scholar is included among the top collaborators of Chao Pang 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 Chao Pang. Chao Pang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 5 | |
| 6 | 44 | |
| 7 | 19 | |
| 8 | 8 | |
| 9 | 29 | |
| 10 | 13 | |
| 11 | 39 | |
| 12 | 31 | |
| 13 | 43 | |
| 14 | 18 | |
| 15 | 22 | |
| 16 | 5 | |
| 17 | 25 | |
| 18 | 12 | |
| 19 | 16 | |
| 20 | Rapid Development of an Ontology of Coriell Cell Lines. | 0 |
About Chao Pang
Chao Pang is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Cancer Research, having authored 45 papers that have together received 882 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers), Obesity, Physical Activity, Diet (6 papers) and Cardiovascular Disease and Adiposity (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (282 citations), Cardiology and Cardiovascular Medicine (213 citations) and Public Health, Environmental and Occupational Health (209 citations). Chao Pang has collaborated with scholars based in China, Netherlands and Pakistan. Frequent co-authors include Yongcheng Ren, Dongsheng Hu, Jingzhi Zhao, Lei Yin, Bingyuan Wang, Chongjian Wang, Yang Zhao, Chengyi Han, Tianping Feng and Lu Zhang. Their work appears in journals such as Nature Communications, Bioinformatics and PLoS ONE.
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.