Xiaofan Wei
Impact in
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
-
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
Papers in
-
- Peroxisome Proliferator-Activated Receptors 5
- TGF-β signaling in diseases 4
- Ubiquitin and proteasome pathways 4
- Wnt/β-catenin signaling in development and cancer 3
-
- Autophagy in Disease and Therapy 5
- Co-authors
- Hongquan Zhang (11 shared papers)Dan Xu (1 shared paper)Rong Mu (1 shared paper)Yan Tang (3 shared papers)Jun Zhan (5 shared papers)Yang Xia (2 shared papers)Weigang Fang (3 shared papers)Jing Nie (1 shared paper)
- Journals
- The Journal of Cell Biology (2 papers)Cell Communication and Signaling (2 papers)Nature Communications (1 paper)Cell Reports (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- ChinaSouth KoreaUnited States
In The Last Decade
Xiaofan Wei
31 papers receiving 702 citations
Peers
Comparison fields: 5 of 100
- Immunology and Allergy 75
- Oncology 181
- Immunology 134
- Cell Biology 99
- Cancer Research 80
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 | 84 | |
| 2 | 2013 | 77 | |
| 3 | 2022 | 70 | |
| 4 | 2022 | 54 | |
| 5 | 2019 | 44 | |
| 6 | 2017 | 39 | |
| 7 | 2015 | 38 | |
| 8 | 2022 | 37 | |
| 9 | 2020 | 32 | |
| 10 | 2020 | 29 | |
| 11 | 2013 | 29 | |
| 12 | 2020 | 26 | |
| 13 | 2018 | 24 | |
| 14 | 2022 | 21 | |
| 15 | 2016 | 16 | |
| 16 | 2018 | 12 | |
| 17 | 2021 | 11 | |
| 18 | 2022 | 8 | |
| 19 | 2021 | 7 | |
| 20 | 2023 | 7 |
About Xiaofan Wei
Xiaofan Wei is a scholar working on Molecular Biology, Epidemiology, Oncology, Cell Biology and Pulmonary and Respiratory Medicine, having authored 36 papers that have together received 707 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (5 papers), Autophagy in Disease and Therapy (5 papers), Cell Adhesion Molecules Research (4 papers), TGF-β signaling in diseases (4 papers), Ubiquitin and proteasome pathways (4 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Cancer-related Molecular Pathways (3 papers) and Digital Marketing and Social Media (2 papers). The work is most often cited by research in Immunology and Allergy (75 citations), Oncology (181 citations), Immunology (134 citations), Cell Biology (99 citations) and Cancer Research (80 citations). Xiaofan Wei has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Hongquan Zhang, Dan Xu, Rong Mu, Yan Tang, Jun Zhan, Yang Xia, Weigang Fang, Jing Nie, Youhua Liu and Zhanmei Zhou. Their work appears in journals such as The Journal of Cell Biology, Cell Communication and Signaling, Nature Communications, Cell Reports and Frontiers in Immunology.
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.