Jun Wang
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- Breast Cancer Treatment Studies
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- Phytoestrogen effects and research
- Breast Lesions and Carcinomas
Papers in
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- Breast Cancer Treatment Studies 18
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- Genetic factors in colorectal cancer 8
- Co-authors
- Natsuo Ueda (8 shared papers)Hau C. Kwaan (8 shared papers)Coral A. Lamartiniere (4 shared papers)Teng Jiang (1 shared paper)Jin‐Tai Yu (1 shared paper)Jieqiong Li (1 shared paper)Qing‐Fei Zhao (1 shared paper)Meng‐Shan Tan (1 shared paper)
- Journals
- Frontiers in Oncology (5 papers)Breast Cancer Research and Treatment (5 papers)Cancer Prevention Research (4 papers)Journal of Cancer (4 papers)Scientific Reports (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Jun Wang
252 papers receiving 6.7k citations
Jun Wang's Hit Papers
Peers
Comparison fields: 5 of 142
- Cancer Research 782
- Pathology and Forensic Medicine 643
- Geriatrics and Gerontology 114
- Pharmacology 478
- Oncology 670
Countries citing papers authored by Jun Wang
This map shows the geographic impact of Jun Wang'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 Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Wang more than expected).
Fields of papers citing papers by Jun Wang
This network shows the impact of papers produced by Jun Wang. 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 Wang. The network helps show where Jun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Wang, 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 263 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Meta-analysis of modifiable risk factors for Alzheimer's disease Hit paper breakdown → | 2015 | 477 |
| 2 | 2013 | 251 | |
| 3 | 1998 | 203 | |
| 4 | 2002 | 148 | |
| 5 | 2012 | 147 | |
| 6 | 2008 | 145 | |
| 7 | 2007 | 138 | |
| 8 | 2004 | 128 | |
| 9 | 2014 | 122 | |
| 10 | Metabolic consequences of a reversed pH gradient in rat tumors. | 1994 | 114 |
| 11 | 2016 | 110 | |
| 12 | Defects of DNA mismatch repair in human prostate cancer. | 2001 | 107 |
| 13 | 2003 | 105 | |
| 14 | Placenta inflammation is closely associated with gestational diabetes mellitus. | 2021 | 104 |
| 15 | 2011 | 102 | |
| 16 | 2003 | 97 | |
| 17 | 2018 | 95 | |
| 18 | 2006 | 93 | |
| 19 | 1999 | 88 | |
| 20 | 2015 | 87 |
About Jun Wang
Jun Wang is a scholar working on Cancer Research, Pathology and Forensic Medicine, Oncology, Obstetrics and Gynecology and Pulmonary and Respiratory Medicine, having authored 263 papers that have together received 7k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (18 papers), Epigenetics and DNA Methylation (17 papers), Estrogen and related hormone effects (9 papers), Genetic factors in colorectal cancer (8 papers), Cannabis and Cannabinoid Research (8 papers), Cancer Risks and Factors (8 papers), Pregnancy and preeclampsia studies (7 papers) and Cervical Cancer and HPV Research (7 papers). The work is most often cited by research in Cancer Research (782 citations), Pathology and Forensic Medicine (643 citations), Geriatrics and Gerontology (114 citations), Pharmacology (478 citations) and Oncology (670 citations). Jun Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Natsuo Ueda, Hau C. Kwaan, Coral A. Lamartiniere, Teng Jiang, Jin‐Tai Yu, Jieqiong Li, Qing‐Fei Zhao, Meng‐Shan Tan, Lin Tan and Wei Xu. Their work appears in journals such as Frontiers in Oncology, Breast Cancer Research and Treatment, Cancer Prevention Research, Journal of Cancer and Scientific Reports.
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.