Gang Zhou
- Immunology top 0.5%
- Oncology top 1%
- Molecular Biology top 10%
- Cancer Research top 5%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Hyam I. LevitskyCharles G. DrakeZhi-Chun DingChing-Tai HuangDrew M. PardollJeanne KowalskiEdward L. HipkissXiaoyu Pan
- Topics
- Immune Cell Function and Interaction (26 papers)Immunotherapy and Immune Responses (23 papers)Cancer Immunotherapy and Biomarkers (16 papers)
- Cited by
- ImmunologyOncologyCancer Research
- Partner nations
- United StatesChinaCanada
In The Last Decade
Gang Zhou
68 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Immunology 2.9k
- Oncology 2.1k
- Molecular Biology 1.1k
- Cancer Research 504
- Pulmonary and Respiratory Medicine 297
Countries citing papers authored by Gang Zhou
This map shows the geographic impact of Gang Zhou'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 Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang Zhou more than expected).
Fields of papers citing papers by Gang Zhou
This network shows the impact of papers produced by Gang Zhou. 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 Zhou. The network helps show where Gang Zhou may publish in the future.
Co-authorship network of co-authors of Gang Zhou
This figure shows the co-authorship network connecting the top 25 collaborators of Gang Zhou. A scholar is included among the top collaborators of Gang Zhou 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 Zhou. Gang Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 10 | |
| 4 | 21 | |
| 5 | 51 | |
| 6 | 50 | |
| 7 | 5 | |
| 8 | 10 | |
| 9 | 287 | |
| 10 | 2 | |
| 11 | Study on Heavy Metals Pollution in Sediments from North of Taihu Lake and Its Biological Toxicity | 1 |
| 12 | 109 | |
| 13 | Influence of Pollutants Exported from the Yangtze River Basin on Water Quality in the Estuary | 1 |
| 14 | Research Progress on the Pyrethroid Pesticide Residue Degradation Dynamics in Farm Produce | 1 |
| 15 | 174 | |
| 16 | 59 | |
| 17 | Electron microscopy of pathologen of appendage shaking disease of Eriocheir sinensis | 5 |
| 18 | Pyrite oxidation under different conditions. | 3 |
| 19 | Field Comparisons of Bed Load Samplers from USA and China | 0 |
| 20 | Studies of Distribution Pattern of Flora of FLological and Economic Type of Protecting Forest Stands in the Huangtang Small Watershed. | 1 |
About Gang Zhou
Gang Zhou is a scholar working on Immunology, Oncology and Pharmacology, having authored 71 papers that have together received 4.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (26 papers), Immunotherapy and Immune Responses (23 papers) and Cancer Immunotherapy and Biomarkers (16 papers). The work is most often cited by research in Immunology (2.9k citations), Oncology (2.1k citations) and Cancer Research (504 citations). Gang Zhou has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Hyam I. Levitsky, Charles G. Drake, Zhi-Chun Ding, Ching-Tai Huang, Drew M. Pardoll, Jeanne Kowalski, Edward L. Hipkiss, Xiaoyu Pan, Sowmya Ravi and Creg J. Workman. Their work appears in journals such as Journal of Clinical Investigation, Nature Communications and The Journal of Experimental Medicine.
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.