Guanhua Chen
- Molecular Biology top 10%
- Epidemiology top 10%
- Artificial Intelligence top 5%
- Physiology top 10%
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- Zheng-Zheng TangMichael E. MathenyEdward D. SiewCharles XieSharon E. DavisThomas A. LaskoWanli XingAlexander V. Alekseyenko
- Topics
- Advanced Causal Inference Techniques (11 papers)Statistical Methods and Inference (10 papers)Gut microbiota and health (10 papers)
- Journals
- ScienceProceedings of the National Academy of SciencesAngewandte Chemie International Edition
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Guanhua Chen
133 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 194
- Molecular Biology 1.1k
- Epidemiology 462
- Artificial Intelligence 294
- Physiology 293
- Public Health, Environmental and Occupational Health 255
Countries citing papers authored by Guanhua Chen
This map shows the geographic impact of Guanhua 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 Guanhua Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guanhua Chen more than expected).
Fields of papers citing papers by Guanhua Chen
This network shows the impact of papers produced by Guanhua 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 Guanhua Chen. The network helps show where Guanhua Chen may publish in the future.
Co-authorship network of co-authors of Guanhua Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Guanhua Chen. A scholar is included among the top collaborators of Guanhua 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 Guanhua Chen. Guanhua 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 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 13 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 8 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 30 | |
| 16 | 8 | |
| 17 | A Clinical Study on the Use of Intraventricular Polymyxin B Supplemented by Continuous External Ventricular Drainage in the Treatment of Drug-Resistant Gram-Negative Bacilli Intracranial Infection | 0 |
| 18 | 4 | |
| 19 | 5 | |
| 20 | 148 |
About Guanhua Chen
Guanhua Chen is a scholar working on Statistics and Probability, Modeling and Simulation and Nephrology, having authored 147 papers that have together received 3.5k indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (11 papers), Statistical Methods and Inference (10 papers) and Gut microbiota and health (10 papers). The work is most often cited by research in Health Informatics (71 citations), Modeling and Simulation (203 citations) and Nephrology (201 citations). Guanhua Chen has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Zheng-Zheng Tang, Michael E. Matheny, Edward D. Siew, Charles Xie, Sharon E. Davis, Thomas A. Lasko, Wanli Xing, Alexander V. Alekseyenko, Juan Zheng and Jian‐Dong Huang. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Angewandte Chemie International Edition.
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.