Jinli Wei
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
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- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
-
- Breast Cancer Treatment Studies 5
- Oncology 6
- Co-authors
- Deyuan Fu (10 shared papers)Yi‐Zhou Jiang (4 shared papers)Chuanli Ren (4 shared papers)Yulin Luo (3 shared papers)Zhengquan Zhang (2 shared papers)Zhimin Shao (2 shared papers)Da‐Qiang Li (2 shared papers)Yi Xiao (2 shared papers)
- Journals
- Journal for ImmunoTherapy of Cancer (2 papers)Frontiers in Aging Neuroscience (1 paper)Medicine (1 paper)Frontiers in Immunology (1 paper)International Journal of Infectious Diseases (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Jinli Wei
23 papers receiving 555 citations
Peers
Comparison fields: 5 of 83
- Cancer Research 209
- Infectious Diseases 112
- Oncology 118
- Molecular Biology 269
- Immunology 79
Countries citing papers authored by Jinli Wei
This map shows the geographic impact of Jinli Wei'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 Jinli Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinli Wei more than expected).
Fields of papers citing papers by Jinli Wei
This network shows the impact of papers produced by Jinli Wei. 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 Jinli Wei. The network helps show where Jinli Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinli Wei, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 75 | |
| 2 | 2018 | 74 | |
| 3 | 2018 | 63 | |
| 4 | 2021 | 62 | |
| 5 | 2015 | 46 | |
| 6 | 2020 | 44 | |
| 7 | 2019 | 42 | |
| 8 | 2021 | 41 | |
| 9 | 2015 | 26 | |
| 10 | 2021 | 16 | |
| 11 | 2020 | 12 | |
| 12 | 2019 | 11 | |
| 13 | 2018 | 10 | |
| 14 | 2022 | 7 | |
| 15 | 2014 | 7 | |
| 16 | 2016 | 5 | |
| 17 | 2018 | 4 | |
| 18 | 2019 | 3 | |
| 19 | Lidocaine pretreatment up-regulates aquaporin-5 expression in primary alveolar epithelium type II cells injured by lipopolysaccharides. | 2021 | 3 |
| 20 | 2012 | 2 |
About Jinli Wei
Jinli Wei is a scholar working on Cancer Research, Oncology, Infectious Diseases, Molecular Biology and Epidemiology, having authored 25 papers that have together received 559 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (5 papers), Multiple and Secondary Primary Cancers (3 papers), Epigenetics and DNA Methylation (2 papers), Influenza Virus Research Studies (2 papers), COVID-19 Clinical Research Studies (2 papers), BRCA gene mutations in cancer (2 papers), Breast Implant and Reconstruction (2 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Cancer Research (209 citations), Infectious Diseases (112 citations), Oncology (118 citations), Molecular Biology (269 citations) and Immunology (79 citations). Jinli Wei has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Deyuan Fu, Yi‐Zhou Jiang, Chuanli Ren, Yulin Luo, Zhengquan Zhang, Zhimin Shao, Da‐Qiang Li, Yi Xiao, Siyu Wu and Xiao‐En Xu. Their work appears in journals such as Journal for ImmunoTherapy of Cancer, Frontiers in Aging Neuroscience, Medicine, Frontiers in Immunology and International Journal of Infectious Diseases.
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.