Cun Zhang
- Molecular Biology top 10%
- Cancer Research top 5%
- Oncology top 10%
- Immunology top 10%
- Pulmonary and Respiratory Medicine
- Topics
- Immunotherapy and Immune Responses (13 papers)Cancer-related molecular mechanisms research (9 papers)Monoclonal and Polyclonal Antibodies Research (9 papers)
- Cited by
- Cancer ResearchImmunologyOncology
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Cun Zhang
96 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 113
- Molecular Biology 734
- Cancer Research 391
- Oncology 308
- Immunology 258
- Pulmonary and Respiratory Medicine 150
Countries citing papers authored by Cun Zhang
This map shows the geographic impact of Cun Zhang'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 Cun Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cun Zhang more than expected).
Fields of papers citing papers by Cun Zhang
This network shows the impact of papers produced by Cun Zhang. 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 Cun Zhang. The network helps show where Cun Zhang may publish in the future.
Co-authorship network of co-authors of Cun Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Cun Zhang. A scholar is included among the top collaborators of Cun Zhang 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 Cun Zhang. Cun Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 10 | |
| 7 | 58 | |
| 8 | 6 | |
| 9 | 10 | |
| 10 | 19 | |
| 11 | 9 | |
| 12 | 12 | |
| 13 | 4 | |
| 14 | 9 | |
| 15 | Application of Zinc Finger Nucleases in Genome Targeting Modification | 0 |
| 16 | 5 | |
| 17 | Expression, Purification and Activity of Recombinant Human B7-H4IgV Fusion Protein | 1 |
| 18 | Clinical significance of circulating tumor cells in blood of patients with breast cancer before and after neoadjuvant chemotherapy | 1 |
| 19 | Study on qualitative and quantitative methods of platycodin D in roots of Platycodon grandiflorus | 2 |
| 20 | The Development of the Studies on the Natural Steroidal Saponins' Biological Activities | 3 |
About Cun Zhang
Cun Zhang is a scholar working on Cancer Research, Immunology and Oncology, having authored 100 papers that have together received 1.5k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (13 papers), Cancer-related molecular mechanisms research (9 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). The work is most often cited by research in Cancer Research (391 citations), Immunology (258 citations) and Oncology (308 citations). Cun Zhang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yingqi Zhang, Qiang Hao, Weina Li, Xiaochang Xue, Shuning Wang, Wangqian Zhang, Yuan Gao, Meng Li, Wei Zhang and Kuo Zhang. Their work appears in journals such as Nature Communications, Advanced Functional Materials and Journal of Hazardous Materials.
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.