Kan Zhai
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Pleural and Pulmonary Diseases
- Occupational and environmental lung diseases
- Lung Cancer Diagnosis and Treatment
Papers in
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- Pleural and Pulmonary Diseases 25
- Occupational and environmental lung diseases 11
- Lung Cancer Diagnosis and Treatment 5
- Immunology 17
- Co-authors
- Huan‐Zhong Shi (29 shared papers)Zhaohui Tong (13 shared papers)Jie Ding (4 shared papers)Yong Lu (1 shared paper)Jiang Chang (8 shared papers)Chen Wu (9 shared papers)Dianke Yu (9 shared papers)Dongxin Lin (8 shared papers)
- Journals
- Frontiers in Microbiology (4 papers)PLoS ONE (4 papers)Scientific Reports (3 papers)American Journal of Respiratory Cell and Molecular Biology (3 papers)Frontiers in Immunology (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Kan Zhai
58 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 88
- Cancer Research 238
- Pulmonary and Respiratory Medicine 404
- Immunology 236
- Oncology 269
- Infectious Diseases 164
Countries citing papers authored by Kan Zhai
This map shows the geographic impact of Kan Zhai'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 Kan Zhai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kan Zhai more than expected).
Fields of papers citing papers by Kan Zhai
This network shows the impact of papers produced by Kan Zhai. 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 Kan Zhai. The network helps show where Kan Zhai may publish in the future.
Co-authors
The 25 scholars most cited alongside Kan Zhai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 101 | |
| 2 | 2013 | 85 | |
| 3 | 2011 | 60 | |
| 4 | 2014 | 57 | |
| 5 | 2018 | 52 | |
| 6 | 2010 | 51 | |
| 7 | 2014 | 49 | |
| 8 | 2017 | 47 | |
| 9 | 2021 | 40 | |
| 10 | 2015 | 38 | |
| 11 | 2011 | 32 | |
| 12 | 2018 | 28 | |
| 13 | 2013 | 27 | |
| 14 | 2011 | 27 | |
| 15 | 2018 | 27 | |
| 16 | 2015 | 26 | |
| 17 | 2016 | 24 | |
| 18 | 2013 | 24 | |
| 19 | 2020 | 23 | |
| 20 | 2016 | 23 |
About Kan Zhai
Kan Zhai is a scholar working on Pulmonary and Respiratory Medicine, Immunology, Oncology, Epidemiology and Infectious Diseases, having authored 60 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pleural and Pulmonary Diseases (25 papers), Occupational and environmental lung diseases (11 papers), Pneumocystis jirovecii pneumonia detection and treatment (9 papers), Tuberculosis Research and Epidemiology (8 papers), Cancer Immunotherapy and Biomarkers (7 papers), Genetic factors in colorectal cancer (5 papers), RNA modifications and cancer (5 papers) and Lung Cancer Diagnosis and Treatment (5 papers). The work is most often cited by research in Cancer Research (238 citations), Pulmonary and Respiratory Medicine (404 citations), Immunology (236 citations), Oncology (269 citations) and Infectious Diseases (164 citations). Kan Zhai has collaborated with scholars based in China and United States. Frequent co-authors include Huan‐Zhong Shi, Zhaohui Tong, Jie Ding, Yong Lu, Jiang Chang, Chen Wu, Dianke Yu, Dongxin Lin, Wen Tan and Qiong Zhou. Their work appears in journals such as Frontiers in Microbiology, PLoS ONE, Scientific Reports, American Journal of Respiratory Cell and Molecular Biology and Frontiers in Immunology.
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.