Weixing Du
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Immunology top 10%
- Immune cells in cancer
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
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- SARS-CoV-2 and COVID-19 Research 6
- COVID-19 Clinical Research Studies 3
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- Gut microbiota and health 2
- Co-authors
- Huabing Tan (9 shared papers)Jian Li (13 shared papers)Jinke Li (2 shared papers)Fang Li (3 shared papers)Rugui Li (3 shared papers)Lei Xu (1 shared paper)Yu Lei (1 shared paper)Jing Yang (1 shared paper)
- Journals
- Frontiers in Cellular and Infection Microbiology (3 papers)Microbiology Spectrum (2 papers)Cancer Letters (1 paper)Archives of Virology (1 paper)Frontiers in Public Health (1 paper)
- Partner nations
- China
In The Last Decade
Weixing Du
25 papers receiving 1.3k citations
Weixing Du's Hit Papers
Peers
Comparison fields: 5 of 119
- Cancer Research 229
- Immunology 322
- Oncology 354
- Pulmonary and Respiratory Medicine 273
- Molecular Biology 438
Countries citing papers authored by Weixing Du
This map shows the geographic impact of Weixing Du'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 Weixing Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weixing Du more than expected).
Fields of papers citing papers by Weixing Du
This network shows the impact of papers produced by Weixing Du. 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 Weixing Du. The network helps show where Weixing Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Weixing Du, 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 | Immune cells within the tumor microenvironment: Biological functions and roles in cancer immunotherapy Hit paper breakdown → | 2019 | 1058 |
| 2 | 2015 | 50 | |
| 3 | 2019 | 35 | |
| 4 | 2018 | 33 | |
| 5 | 2020 | 20 | |
| 6 | 2022 | 19 | |
| 7 | 2018 | 13 | |
| 8 | 2021 | 12 | |
| 9 | 2024 | 10 | |
| 10 | 2021 | 9 | |
| 11 | 2024 | 8 | |
| 12 | 2022 | 8 | |
| 13 | 2017 | 8 | |
| 14 | 2023 | 7 | |
| 15 | 2019 | 6 | |
| 16 | 2024 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2019 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2025 | 3 |
About Weixing Du
Weixing Du is a scholar working on Infectious Diseases, Molecular Biology, Public Health, Environmental and Occupational Health, Immunology and Epidemiology, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), Malaria Research and Control (5 papers), interferon and immune responses (3 papers), COVID-19 Clinical Research Studies (3 papers), Hepatitis B Virus Studies (2 papers), Gut microbiota and health (2 papers), Mosquito-borne diseases and control (2 papers) and Silicon Carbide Semiconductor Technologies (1 paper). The work is most often cited by research in Cancer Research (229 citations), Immunology (322 citations), Oncology (354 citations), Pulmonary and Respiratory Medicine (273 citations) and Molecular Biology (438 citations). Weixing Du has collaborated with scholars based in China. Frequent co-authors include Huabing Tan, Jian Li, Jinke Li, Fang Li, Rugui Li, Lei Xu, Yu Lei, Jing Yang, Zhixin Liu and Gang Li. Their work appears in journals such as Frontiers in Cellular and Infection Microbiology, Microbiology Spectrum, Cancer Letters, Archives of Virology and Frontiers in Public Health.
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.