Changhai Lei
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
-
- Extracellular vesicles in disease 8
- Ion channel regulation and function 3
- Oncology 12
- CAR-T cell therapy research 7
- Co-authors
- Shi Hu (24 shared papers)Wenyan Fu (20 shared papers)Kewen Qian (11 shared papers)Min Ding (6 shared papers)Li Tian (3 shared papers)Yafeng Shen (11 shared papers)Fangxing Lin (11 shared papers)Sheng Zhang (1 shared paper)
- Journals
- Frontiers in Immunology (7 papers)The FASEB Journal (2 papers)Nature Communications (2 papers)Journal of drug targeting (2 papers)Fundamental Research (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Changhai Lei
31 papers receiving 1.2k citations
Changhai Lei's Hit Papers
Peers
Comparison fields: 5 of 92
- Cancer Research 230
- Infectious Diseases 288
- Immunology 266
- Oncology 262
- Molecular Biology 593
Countries citing papers authored by Changhai Lei
This map shows the geographic impact of Changhai Lei'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 Changhai Lei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changhai Lei more than expected).
Fields of papers citing papers by Changhai Lei
This network shows the impact of papers produced by Changhai Lei. 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 Changhai Lei. The network helps show where Changhai Lei may publish in the future.
Co-authors
The 25 scholars most cited alongside Changhai Lei, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | CAR exosomes derived from effector CAR-T cells have potent antitumour effects and low toxicity Hit paper breakdown → | 2019 | 408 |
| 2 | 2020 | 300 | |
| 3 | 2017 | 57 | |
| 4 | 2022 | 53 | |
| 5 | 2015 | 52 | |
| 6 | 2019 | 29 | |
| 7 | 2021 | 28 | |
| 8 | 2019 | 27 | |
| 9 | 2024 | 23 | |
| 10 | 2016 | 23 | |
| 11 | 2024 | 20 | |
| 12 | 2024 | 20 | |
| 13 | 2017 | 20 | |
| 14 | 2009 | 14 | |
| 15 | 2024 | 13 | |
| 16 | 2024 | 13 | |
| 17 | 2022 | 12 | |
| 18 | 2021 | 10 | |
| 19 | 2021 | 10 | |
| 20 | 2017 | 9 |
About Changhai Lei
Changhai Lei is a scholar working on Molecular Biology, Oncology, Immunology, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), CAR-T cell therapy research (7 papers), Immunotherapy and Immune Responses (5 papers), Cardiac electrophysiology and arrhythmias (3 papers), Immune Cell Function and Interaction (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Ion channel regulation and function (3 papers). The work is most often cited by research in Cancer Research (230 citations), Infectious Diseases (288 citations), Immunology (266 citations), Oncology (262 citations) and Molecular Biology (593 citations). Changhai Lei has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Shi Hu, Wenyan Fu, Kewen Qian, Min Ding, Li Tian, Yafeng Shen, Fangxing Lin, Sheng Zhang, Yongji Yang and Xiaoyan Fan. Their work appears in journals such as Frontiers in Immunology, The FASEB Journal, Nature Communications, Journal of drug targeting and Fundamental Research.
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.