Zhenqing Feng
- Co-authors
- Jin ZhuQi TangJianfei HuangXiaojun TangHongmei YongXiaohong GuanWei ZhaoHong Lin
- Topics
- Monoclonal and Polyclonal Antibodies Research (7 papers)RNA modifications and cancer (5 papers)Glycosylation and Glycoproteins Research (4 papers)
- Cited by
- OncologyCancer ResearchHepatology
- Partner nations
- ChinaSouth KoreaCanada
In The Last Decade
Zhenqing Feng
43 papers receiving 781 citations
Peers
Comparison fields: 5 of 80
- Molecular Biology 386
- Oncology 295
- Cancer Research 147
- Immunology 101
- Pulmonary and Respiratory Medicine 96
Countries citing papers authored by Zhenqing Feng
This map shows the geographic impact of Zhenqing Feng'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 Zhenqing Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenqing Feng more than expected).
Fields of papers citing papers by Zhenqing Feng
This network shows the impact of papers produced by Zhenqing Feng. 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 Zhenqing Feng. The network helps show where Zhenqing Feng may publish in the future.
Co-authorship network of co-authors of Zhenqing Feng
This figure shows the co-authorship network connecting the top 25 collaborators of Zhenqing Feng. A scholar is included among the top collaborators of Zhenqing Feng 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 Zhenqing Feng. Zhenqing Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 14 | |
| 4 | 7 | |
| 5 | 17 | |
| 6 | 1 | |
| 7 | 22 | |
| 8 | 5 | |
| 9 | The expression and prognostic significance of TK1 and Ki-67 in non-small cell lung cancer | 1 |
| 10 | 38 | |
| 11 | 17 | |
| 12 | 14 | |
| 13 | 29 | |
| 14 | 40 | |
| 15 | Construction of human naive Fab library,screening and identification of phage antibody against c-Met | 2 |
| 16 | 12 | |
| 17 | Expression and purification of GST-LMP-1 extracellular domain fusion protein of EB virus | 1 |
| 18 | [Construction of pMSCV recombinant retroviral vector containing polo-like kinase 3(plk3) cDNA and its effects on cell proliferation]. | 1 |
| 19 | Expression of PTTG gene and PTEN gene in human breast carcinomas | 1 |
| 20 | 31 |
About Zhenqing Feng
Zhenqing Feng is a scholar working on Immunology and Allergy, Oncology and Periodontics, having authored 43 papers that have together received 786 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), RNA modifications and cancer (5 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Oncology (295 citations), Cancer Research (147 citations) and Hepatology (56 citations). Zhenqing Feng has collaborated with scholars based in China, South Korea and Canada. Frequent co-authors include Jin Zhu, Qi Tang, Jianfei Huang, Xiaojun Tang, Hongmei Yong, Xiaohong Guan, Wei Zhao, Hong Lin, Wenjie Li and Yan Zhou. Their work appears in journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.
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.