Jun Wei
Impact in
- Genetics top 0.5%
- Glioma Diagnosis and Treatment
- Immunology top 1%
- Immune cells in cancer
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
-
- MicroRNA in disease regulation 15
- Immunology 26
- Immune cells in cancer 15
- Immunotherapy and Immune Responses 8
- Immune Cell Function and Interaction 7
- Co-authors
- Amy B. HeimbergerLing-Yuan KongWaldemar PriebeWei QiaoGregory N. FullerAdam WuYongtao WangRaymond Sawaya
- Journals
- Neuro-Oncology (9 papers)Clinical Cancer Research (7 papers)Cancer Research (6 papers)OncoImmunology (3 papers)Journal of Neuro-Oncology (2 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Jun Wei
54 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Genetics 1.4k
- Immunology 2.1k
- Oncology 1.8k
- Cancer Research 952
- Neurology 517
Countries citing papers authored by Jun Wei
This map shows the geographic impact of Jun 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 Jun Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Wei more than expected).
Fields of papers citing papers by Jun Wei
This network shows the impact of papers produced by Jun 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 Jun Wei. The network helps show where Jun Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2021 | 2 | |
| 6 | 2020 | 80 | |
| 7 | 2020 | 41 | |
| 8 | Osteopontin mediates glioblastoma-associated macrophage infiltration and is a potential therapeutic target Hit paper breakdown → | 2018 | 287 |
| 9 | 2017 | 3 | |
| 10 | 2016 | 31 | |
| 11 | 2015 | 164 | |
| 12 | 2014 | 15 | |
| 13 | 2013 | 209 | |
| 14 | 2013 | 5 | |
| 15 | 2011 | 111 | |
| 16 | Expression analysis of peripheral blood regulatory T cell and helper T cell in pregnant women with intrahepatic cholestasis of pregnancy | 2011 | 1 |
| 17 | 2011 | 10 | |
| 18 | Glioma cancer stem cells induce immunosuppressive macrophages/microglia Hit paper breakdown → | 2010 | 522 |
| 19 | 2009 | 66 | |
| 20 | 2009 | 6 |
About Jun Wei
Jun Wei is a scholar working on Cancer Research, Immunology, Genetics, Neurology and Oncology, having authored 57 papers that have together received 4.2k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (15 papers), Immune cells in cancer (15 papers), Glioma Diagnosis and Treatment (13 papers), Cytokine Signaling Pathways and Interactions (11 papers), Cancer Immunotherapy and Biomarkers (8 papers), Immunotherapy and Immune Responses (8 papers), Immune Cell Function and Interaction (7 papers) and Neuroinflammation and Neurodegeneration Mechanisms (7 papers). The work is most often cited by research in Genetics (1.4k citations), Immunology (2.1k citations), Oncology (1.8k citations), Cancer Research (952 citations) and Neurology (517 citations). Jun Wei has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Amy B. Heimberger, Ling-Yuan Kong, Waldemar Priebe, Wei Qiao, Gregory N. Fuller, Adam Wu, Yongtao Wang, Raymond Sawaya, Konrad Gabrusiewicz and Ganesh Rao. Their work appears in journals such as Neuro-Oncology, Clinical Cancer Research, Cancer Research, OncoImmunology and Journal of Neuro-Oncology.
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.