Jun Wei
Impact in
- Pathology and Forensic Medicine top 10%
- Systemic Sclerosis and Related Diseases
- Dermatology top 10%
- Dermatologic Treatments and Research
Papers in
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- Wnt/β-catenin signaling in development and cancer 2
- Peroxisome Proliferator-Activated Receptors 2
- RNA modifications and cancer 2
- Epigenetics and DNA Methylation 2
- Kruppel-like factors research 1
-
- MicroRNA in disease regulation 1
- Co-authors
- John Varga (3 shared papers)Cara J. Gottardi (2 shared papers)Emily Hamburg‐Shields (1 shared paper)Michael L. Whitfield (1 shared paper)Jennifer L. Sargent (1 shared paper)Anna P. Lam (1 shared paper)Feng Fang (1 shared paper)Monique Hinchcliff (1 shared paper)
- Journals
- The FASEB Journal (2 papers)Cellular and Molecular Neurobiology (1 paper)Frontiers in Bioscience-Landmark (1 paper)American Journal of Respiratory Cell and Molecular Biology (1 paper)PLoS ONE (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jun Wei
11 papers receiving 530 citations
Peers
Comparison fields: 5 of 64
- Pathology and Forensic Medicine 191
- Dermatology 57
- Molecular Biology 321
- Pulmonary and Respiratory Medicine 151
- Cancer Research 67
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 | 2012 | 190 | |
| 2 | 2011 | 134 | |
| 3 | 2009 | 107 | |
| 4 | 2015 | 46 | |
| 5 | 2013 | 17 | |
| 6 | 2016 | 12 | |
| 7 | 2017 | 9 | |
| 8 | Searching for a schizophrenia susceptibility gene in the 22q11 region. | 2005 | 7 |
| 9 | 2025 | 5 | |
| 10 | [Role of progesterone in acylation stimulating protein-receptor C5L2 pathway in adipocytes and preadipocytes]. | 2008 | 3 |
| 11 | 2023 | 1 |
About Jun Wei
Jun Wei is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Rheumatology and Infectious Diseases, having authored 11 papers that have together received 531 indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), RNA modifications and cancer (2 papers), Folate and B Vitamins Research (2 papers), Epigenetics and DNA Methylation (2 papers), Kruppel-like factors research (1 paper), MicroRNA in disease regulation (1 paper) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (191 citations), Dermatology (57 citations), Molecular Biology (321 citations), Pulmonary and Respiratory Medicine (151 citations) and Cancer Research (67 citations). Jun Wei has collaborated with scholars based in China, United States and Canada. Frequent co-authors include John Varga, Cara J. Gottardi, Emily Hamburg‐Shields, Michael L. Whitfield, Jennifer L. Sargent, Anna P. Lam, Feng Fang, Monique Hinchcliff, Radhika P. Atit and Suyeon Kim. Their work appears in journals such as The FASEB Journal, Cellular and Molecular Neurobiology, Frontiers in Bioscience-Landmark, American Journal of Respiratory Cell and Molecular Biology and PLoS ONE.
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.