Shengwei Mo
Impact in
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- Cancer Immunotherapy and Biomarkers
- Pancreatic and Hepatic Oncology Research
- CAR-T cell therapy research
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- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune cells in cancer
Papers in
- Oncology 15
- Cancer Immunotherapy and Biomarkers 13
- Pancreatic and Hepatic Oncology Research 6
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- Immune cells in cancer 3
- Immunotherapy and Immune Responses 2
- Co-authors
- Shuangni Yu (20 shared papers)Jie Chen (18 shared papers)Zhaohui Lu (17 shared papers)Liju Zong (12 shared papers)Yang Xiang (7 shared papers)Heng Ma (4 shared papers)Ming Zhang (1 shared paper)Xinxin Mao (5 shared papers)
- Journals
- Archives of Pathology & Laboratory Medicine (3 papers)Neuroendocrinology (3 papers)Modern Pathology (3 papers)Gynecologic Oncology (2 papers)The Journal of Pathology Clinical Research (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Shengwei Mo
26 papers receiving 367 citations
Peers
Comparison fields: 5 of 41
- Oncology 194
- Immunology 138
- Obstetrics and Gynecology 30
- Cancer Research 47
- Pathology and Forensic Medicine 25
Countries citing papers authored by Shengwei Mo
This map shows the geographic impact of Shengwei Mo'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 Shengwei Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengwei Mo more than expected).
Fields of papers citing papers by Shengwei Mo
This network shows the impact of papers produced by Shengwei Mo. 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 Shengwei Mo. The network helps show where Shengwei Mo may publish in the future.
Co-authors
The 25 scholars most cited alongside Shengwei Mo, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 55 | |
| 2 | 2021 | 34 | |
| 3 | 2023 | 32 | |
| 4 | 2020 | 31 | |
| 5 | 2021 | 28 | |
| 6 | 2022 | 26 | |
| 7 | 2021 | 26 | |
| 8 | 2021 | 18 | |
| 9 | 2022 | 16 | |
| 10 | 2022 | 12 | |
| 11 | 2021 | 11 | |
| 12 | 2023 | 10 | |
| 13 | 2023 | 9 | |
| 14 | 2023 | 8 | |
| 15 | 2024 | 7 | |
| 16 | 2022 | 7 | |
| 17 | 2022 | 6 | |
| 18 | 2022 | 5 | |
| 19 | 2023 | 5 | |
| 20 | 2023 | 5 |
About Shengwei Mo
Shengwei Mo is a scholar working on Oncology, Immunology, Pathology and Forensic Medicine, Surgery and Molecular Biology, having authored 30 papers that have together received 369 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (13 papers), Pancreatic and Hepatic Oncology Research (6 papers), Immune cells in cancer (3 papers), Endometrial and Cervical Cancer Treatments (2 papers), RNA modifications and cancer (2 papers), Immunotherapy and Immune Responses (2 papers), Ovarian cancer diagnosis and treatment (2 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Oncology (194 citations), Immunology (138 citations), Obstetrics and Gynecology (30 citations), Cancer Research (47 citations) and Pathology and Forensic Medicine (25 citations). Shengwei Mo has collaborated with scholars based in China and United States. Frequent co-authors include Shuangni Yu, Jie Chen, Zhaohui Lu, Liju Zong, Yang Xiang, Heng Ma, Ming Zhang, Xinxin Mao, Jingci Chen and Wei‐Min Tong. Their work appears in journals such as Archives of Pathology & Laboratory Medicine, Neuroendocrinology, Modern Pathology, Gynecologic Oncology and The Journal of Pathology Clinical 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.