Zeqing Feng
- Infectious Diseases top 0.5%
- Neurology top 1%
- Immunology top 5%
- Molecular Biology
- Oncology top 10%
- Topics
- SARS-CoV-2 and COVID-19 Research (5 papers)interferon and immune responses (4 papers)COVID-19 Clinical Research Studies (4 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Zeqing Feng
15 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Infectious Diseases 1.8k
- Neurology 948
- Immunology 507
- Molecular Biology 433
- Oncology 299
Countries citing papers authored by Zeqing Feng
This map shows the geographic impact of Zeqing 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 Zeqing Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zeqing Feng more than expected).
Fields of papers citing papers by Zeqing Feng
This network shows the impact of papers produced by Zeqing 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 Zeqing Feng. The network helps show where Zeqing Feng may publish in the future.
Co-authorship network of co-authors of Zeqing Feng
This figure shows the co-authorship network connecting the top 25 collaborators of Zeqing Feng. A scholar is included among the top collaborators of Zeqing 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 Zeqing Feng. Zeqing 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 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | Human kidney is a target for novel severe acute respiratory syndrome coronavirus 2 infectionbreakdown → | 347 |
| 5 | 61 | |
| 6 | 39 | |
| 7 | Reduction and Functional Exhaustion of T Cells in Patients With Coronavirus Disease 2019 (COVID-19)breakdown → | 1724 |
| 8 | 102 | |
| 9 | 3 | |
| 10 | 88 | |
| 11 | 125 | |
| 12 | 3 | |
| 13 | 20 | |
| 14 | 16 | |
| 15 | 16 | |
| 16 | 10 | |
| 17 | [Primary investigation on the changing mode of plasma specific IgG antibody in SARS patients and their physicians and nurses]. | 7 |
About Zeqing Feng
Zeqing Feng is a scholar working on Immunology, Infectious Diseases and Cancer Research, having authored 17 papers that have together received 2.6k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), interferon and immune responses (4 papers) and COVID-19 Clinical Research Studies (4 papers). The work is most often cited by research in Infectious Diseases (1.8k citations), Neurology (948 citations) and Immunology (507 citations). Zeqing Feng has collaborated with scholars based in China and United States. Frequent co-authors include Yongwen Chen, Bo Diao, Chenhui Wang, Yuzhang Wu, Yingjun Tan, Yueping Liu, Zilin Yuan, Li Chen, Ying Liu and Xiewan Chen. Their work appears in journals such as Nature Communications, Clinical Infectious Diseases and Science Advances.
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.