Xiawei Wei
- Immunology top 5%
- Immune cells in cancer 8
- Immunotherapy and Immune Responses 6
- Aging top 5%
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers 5
- Cancer Research top 5%
- Molecular Biology top 5%
- RNA Interference and Gene Delivery 11
- Advanced biosensing and bioanalysis techniques 5
- CRISPR and Genetic Engineering 3
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- Virus-based gene therapy research 6
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- Autophagy in Disease and Therapy 4
- Cited by
- ImmunologyAgingOncology
- Journals
- Molecular Cancer (4 papers)Journal of Hematology & Oncology (3 papers)Biochimica et Biophysica Acta (BBA) - Reviews on Cancer (3 papers)
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Xiawei Wei
40 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Immunology 735
- Aging 52
- Oncology 716
- Cancer Research 353
- Molecular Biology 1.3k
Countries citing papers authored by Xiawei Wei
This map shows the geographic impact of Xiawei 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 Xiawei Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiawei Wei more than expected).
Fields of papers citing papers by Xiawei Wei
This network shows the impact of papers produced by Xiawei 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 Xiawei Wei. The network helps show where Xiawei Wei may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiawei 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 10 | |
| 3 | 2024 | 14 | |
| 4 | 2024 | 48 | |
| 5 | 2023 | 49 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 20 | |
| 8 | 2022 | 32 | |
| 9 | 2022 | 56 | |
| 10 | Tumor-associated neutrophils and neutrophil-targeted cancer therapiesbreakdown → | 2022 | 187 |
| 11 | 2022 | 26 | |
| 12 | 2022 | 105 | |
| 13 | 2021 | 11 | |
| 14 | 2021 | 14 | |
| 15 | 2020 | 146 | |
| 16 | 2019 | 6 | |
| 17 | 2016 | 82 | |
| 18 | 2016 | 207 | |
| 19 | 2014 | 7 | |
| 20 | 2013 | 40 |
About Xiawei Wei
Xiawei Wei is a scholar working on Immunology, Geriatrics and Gerontology, Physiology, Oncology and Molecular Biology, having authored 41 papers that have together received 3.0k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (11 papers), Immune cells in cancer (8 papers), Virus-based gene therapy research (6 papers), Immunotherapy and Immune Responses (6 papers), Cancer Immunotherapy and Biomarkers (5 papers), Advanced biosensing and bioanalysis techniques (5 papers), Autophagy in Disease and Therapy (4 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Immunology (735 citations), Aging (52 citations), Oncology (716 citations), Cancer Research (353 citations) and Molecular Biology (1.3k citations). Xiawei Wei has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Yuquan Wei, Manni Wang, Dandan Peng, Minyang Fu, Tianxia Lan, Li Chen, Haiying Que, Xiaohe Tian, Hengyi Xiao and Xuejiao Han. Their work appears in journals such as Molecular Cancer, Journal of Hematology & Oncology, Biochimica et Biophysica Acta (BBA) - Reviews on Cancer, Human Gene Therapy and Frontiers in Cell and Developmental Biology.
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.