Gang Chen
- Infectious Diseases top 2%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 2%
- Surgery top 10%
- Epidemiology top 10%
- Co-authors
- Junping WenYaqian MaoWei LinLizhen XuLuxi ZhangJing LouNing LiuJinjun Zhang
- Topics
- COVID-19 Clinical Research Studies (13 papers)Thyroid Cancer Diagnosis and Treatment (12 papers)Metabolism, Diabetes, and Cancer (9 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Gang Chen
182 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Infectious Diseases 745
- Molecular Biology 543
- Endocrinology, Diabetes and Metabolism 528
- Surgery 499
- Epidemiology 413
Countries citing papers authored by Gang Chen
This map shows the geographic impact of Gang Chen'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 Gang Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang Chen more than expected).
Fields of papers citing papers by Gang Chen
This network shows the impact of papers produced by Gang Chen. 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 Gang Chen. The network helps show where Gang Chen may publish in the future.
Co-authorship network of co-authors of Gang Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Gang Chen. A scholar is included among the top collaborators of Gang Chen 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 Gang Chen. Gang Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 8 | |
| 8 | 16 | |
| 9 | 12 | |
| 10 | 22 | |
| 11 | 1 | |
| 12 | 14 | |
| 13 | 14 | |
| 14 | Characteristics of COVID-19 infection in Beijingbreakdown → | 783 |
| 15 | 17 | |
| 16 | 5 | |
| 17 | 8 | |
| 18 | Application of multilayer perceptrons based on genetic simulated annealing algorithm to rockburst | 1 |
| 19 | The health status of the Singaporean population as measured by a multi-attribute health status system. | 12 |
| 20 | Relationship between paraoxonase 2 A148G polymorphism and diabetic nephropathy | 2 |
About Gang Chen
Gang Chen is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Infectious Diseases, having authored 197 papers that have together received 3.7k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (13 papers), Thyroid Cancer Diagnosis and Treatment (12 papers) and Metabolism, Diabetes, and Cancer (9 papers). The work is most often cited by research in Modeling and Simulation (187 citations), Infectious Diseases (745 citations) and Endocrinology, Diabetes and Metabolism (528 citations). Gang Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Junping Wen, Yaqian Mao, Wei Lin, Lizhen Xu, Luxi Zhang, Jing Lou, Ning Liu, Jinjun Zhang, Huixin Lian and Jianren Li. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.
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.