Guang Chen
- Infectious Diseases top 0.5%
- Neurology top 0.5%
- Molecular Biology top 10%
- Oncology top 5%
- Immunology top 5%
- Topics
- Complex Systems and Time Series Analysis (8 papers)Traditional Chinese Medicine Studies (7 papers)CAR-T cell therapy research (7 papers)
- Journals
- Journal of Biological ChemistryJournal of Clinical InvestigationJournal of Clinical Oncology
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Guang Chen
117 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 198
- Infectious Diseases 2.6k
- Neurology 1.5k
- Molecular Biology 886
- Oncology 549
- Immunology 471
Countries citing papers authored by Guang Chen
This map shows the geographic impact of Guang 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 Guang Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guang Chen more than expected).
Fields of papers citing papers by Guang Chen
This network shows the impact of papers produced by Guang 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 Guang Chen. The network helps show where Guang Chen may publish in the future.
Co-authorship network of co-authors of Guang Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Guang Chen. A scholar is included among the top collaborators of Guang 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 Guang Chen. Guang 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 | 1 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 26 | |
| 7 | 12 | |
| 8 | 4 | |
| 9 | 4 | |
| 10 | 5 | |
| 11 | 14 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 7 | |
| 15 | Research Trend and Prospect of Comprehensive Utilization of Straw | 1 |
| 16 | Gene expression profile of developing soybean seeds | 0 |
| 17 | East Meets West: An International Dialogue on Mediation and Med-Arb in the United States and China | 1 |
| 18 | Simulated study on the migration process and effects of diesel oil on the soil properties | 2 |
| 19 | Volunteer Organization and Management of Emergent Public Events:Problems and Countermeasures——Taking Wenchuan Earthquake For Example | 1 |
| 20 | 43 |
About Guang Chen
Guang Chen is a scholar working on Complementary and alternative medicine, Oncology and Finance, having authored 127 papers that have together received 4.9k indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (8 papers), Traditional Chinese Medicine Studies (7 papers) and CAR-T cell therapy research (7 papers). The work is most often cited by research in Infectious Diseases (2.6k citations), Neurology (1.5k citations) and Biological Psychiatry (78 citations). Guang Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiaoyun Zhang, Shusheng Li, Yong Cao, Qin Ning, Minxia Zhang, Wei Guo, Huilong Chen, Xiaoping Luo, Xiaoping Zhang and Shiji Wu. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Journal of Clinical Oncology.
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.