Xiaofan Wei
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
Papers in
-
- Ubiquitin and proteasome pathways 4
- TGF-β signaling in diseases 4
- Protein Kinase Regulation and GTPase Signaling 2
- Epigenetics and DNA Methylation 2
- Oncology 6
- Cancer Immunotherapy and Biomarkers 2
- Co-authors
- Hongquan Zhang (12 shared papers)Rong Mu (1 shared paper)Dan Xu (1 shared paper)Yan Tang (3 shared papers)Jun Zhan (5 shared papers)Yang Xia (2 shared papers)Weigang Fang (3 shared papers)Huan Chen (3 shared papers)
- Journals
- Cell Communication and Signaling (2 papers)The Journal of Cell Biology (2 papers)Frontiers in Oncology (1 paper)Life (1 paper)International Journal of Molecular Sciences (1 paper)
- Partner nations
- ChinaSouth KoreaUnited States
In The Last Decade
Xiaofan Wei
34 papers receiving 817 citations
Peers
Comparison fields: 5 of 90
- Oncology 188
- Immunology and Allergy 40
- Cancer Research 61
- Nephrology 38
- Molecular Biology 210
Countries citing papers authored by Xiaofan Wei
This map shows the geographic impact of Xiaofan 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 Xiaofan Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofan Wei more than expected).
Fields of papers citing papers by Xiaofan Wei
This network shows the impact of papers produced by Xiaofan 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 Xiaofan Wei. The network helps show where Xiaofan Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaofan 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 91 | |
| 2 | 2022 | 85 | |
| 3 | 2013 | 81 | |
| 4 | 2022 | 79 | |
| 5 | 2019 | 48 | |
| 6 | 2022 | 46 | |
| 7 | 2017 | 44 | |
| 8 | 2015 | 41 | |
| 9 | 2020 | 35 | |
| 10 | 2013 | 30 | |
| 11 | 2020 | 30 | |
| 12 | 2022 | 28 | |
| 13 | 2018 | 26 | |
| 14 | 2020 | 26 | |
| 15 | 2016 | 17 | |
| 16 | 2025 | 16 | |
| 17 | 2018 | 12 | |
| 18 | 2021 | 12 | |
| 19 | 2023 | 12 | |
| 20 | 2022 | 9 |
About Xiaofan Wei
Xiaofan Wei is a scholar working on Molecular Biology, Oncology, Epidemiology, Cell Biology and Cancer Research, having authored 36 papers that have together received 822 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (5 papers), Ubiquitin and proteasome pathways (4 papers), TGF-β signaling in diseases (4 papers), Cancer Immunotherapy and Biomarkers (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Epigenetics and DNA Methylation (2 papers), Digital Marketing and Social Media (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Oncology (188 citations), Immunology and Allergy (40 citations), Cancer Research (61 citations), Nephrology (38 citations) and Molecular Biology (210 citations). Xiaofan Wei has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Hongquan Zhang, Rong Mu, Dan Xu, Yan Tang, Jun Zhan, Yang Xia, Weigang Fang, Huan Chen, Raekil Park and Lin Shen. Their work appears in journals such as Cell Communication and Signaling, The Journal of Cell Biology, Frontiers in Oncology, Life and International Journal of Molecular Sciences.
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.