Yukui Wei
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
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- Pituitary Gland Disorders and Treatments
Papers in
- Genetics 10
- Glioma Diagnosis and Treatment 8
- Chronic Lymphocytic Leukemia Research 2
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- CNS Lymphoma Diagnosis and Treatment 3
- Neurofibromatosis and Schwannoma Cases 2
- Neuroblastoma Research and Treatments 2
- Co-authors
- Leiming Wang (9 shared papers)Ye Cheng (6 shared papers)Lin Q (5 shared papers)Guilin Li (2 shared papers)Lianghong Teng (5 shared papers)Bing Zhao (1 shared paper)Renzhi Wang (1 shared paper)Yongning Li (1 shared paper)
- Journals
- Frontiers in Oncology (4 papers)Genes & Diseases (2 papers)Current Problems in Cancer (1 paper)Blood (1 paper)Brain Pathology (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Yukui Wei
15 papers receiving 409 citations
Peers
Comparison fields: 5 of 53
- Genetics 190
- Endocrinology, Diabetes and Metabolism 71
- Anesthesiology and Pain Medicine 17
- Neurology 48
- Oncology 70
Countries citing papers authored by Yukui Wei
This map shows the geographic impact of Yukui 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 Yukui Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yukui Wei more than expected).
Fields of papers citing papers by Yukui Wei
This network shows the impact of papers produced by Yukui 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 Yukui Wei. The network helps show where Yukui Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Yukui 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 | 2018 | 90 | |
| 2 | 2009 | 89 | |
| 3 | 2021 | 74 | |
| 4 | 2020 | 62 | |
| 5 | 2015 | 30 | |
| 6 | 2015 | 15 | |
| 7 | 2016 | 14 | |
| 8 | 2019 | 12 | |
| 9 | 2017 | 12 | |
| 10 | 2021 | 9 | |
| 11 | 2020 | 2 | |
| 12 | 2025 | 1 | |
| 13 | 2019 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 |
About Yukui Wei
Yukui Wei is a scholar working on Genetics, Neurology, Molecular Biology, Pathology and Forensic Medicine and Epidemiology, having authored 18 papers that have together received 414 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (8 papers), CNS Lymphoma Diagnosis and Treatment (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Neurofibromatosis and Schwannoma Cases (2 papers), Meningioma and schwannoma management (2 papers), Neuroblastoma Research and Treatments (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Genetics (190 citations), Endocrinology, Diabetes and Metabolism (71 citations), Anesthesiology and Pain Medicine (17 citations), Neurology (48 citations) and Oncology (70 citations). Yukui Wei has collaborated with scholars based in China, United States and France. Frequent co-authors include Leiming Wang, Ye Cheng, Lin Q, Guilin Li, Lianghong Teng, Bing Zhao, Renzhi Wang, Yongning Li, Yi Yang and Wenbin Ma. Their work appears in journals such as Frontiers in Oncology, Genes & Diseases, Current Problems in Cancer, Blood and Brain Pathology.
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.