Wenge Wang
Impact in
- Oncology top 2%
- Cancer-related Molecular Pathways
- Cancer Immunotherapy and Biomarkers
- Cancer Research top 5%
- MicroRNA in disease regulation
Papers in
- Oncology 29
- Cancer-related Molecular Pathways 17
- Cancer Immunotherapy and Biomarkers 3
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- Ovarian cancer diagnosis and treatment 12
- Co-authors
- Wafik S. El‐Deiry (31 shared papers)David T. Dicker (14 shared papers)Farzan Rastinejad (4 shared papers)Rishu Takimoto (2 shared papers)Margery C. Beinfeld (7 shared papers)Fang Joe Chen (1 shared paper)Yingqiu Y. Liu (2 shared papers)Gabriel S. Krigsfeld (2 shared papers)
- Journals
- Cancer Biology & Therapy (15 papers)Gynecologic Oncology (4 papers)Cancers (4 papers)Annals of Surgical Oncology (3 papers)Annals of Oncology (3 papers)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Wenge Wang
73 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 97
- Oncology 1.1k
- Cancer Research 351
- Molecular Biology 1.1k
- Genetics 108
- Obstetrics and Gynecology 107
Countries citing papers authored by Wenge Wang
This map shows the geographic impact of Wenge 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 Wenge Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenge Wang more than expected).
Fields of papers citing papers by Wenge Wang
This network shows the impact of papers produced by Wenge 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 Wenge Wang. The network helps show where Wenge Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wenge 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 291 | |
| 2 | 2010 | 237 | |
| 3 | 2007 | 224 | |
| 4 | 2004 | 202 | |
| 5 | 2006 | 201 | |
| 6 | 2021 | 150 | |
| 7 | 2010 | 138 | |
| 8 | 2003 | 129 | |
| 9 | 2002 | 112 | |
| 10 | 2006 | 107 | |
| 11 | 2008 | 94 | |
| 12 | 2008 | 92 | |
| 13 | 2003 | 72 | |
| 14 | 2005 | 69 | |
| 15 | 2017 | 67 | |
| 16 | 2006 | 66 | |
| 17 | 2003 | 56 | |
| 18 | 2005 | 49 | |
| 19 | 2008 | 49 | |
| 20 | 2011 | 45 |
About Wenge Wang
Wenge Wang is a scholar working on Oncology, Reproductive Medicine, Obstetrics and Gynecology, Molecular Biology and Cellular and Molecular Neuroscience, having authored 75 papers that have together received 3.2k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (17 papers), Ovarian cancer diagnosis and treatment (12 papers), Cell death mechanisms and regulation (7 papers), Endometrial and Cervical Cancer Treatments (6 papers), Neuropeptides and Animal Physiology (6 papers), Intraperitoneal and Appendiceal Malignancies (5 papers), Cancer Immunotherapy and Biomarkers (3 papers) and bioluminescence and chemiluminescence research (3 papers). The work is most often cited by research in Oncology (1.1k citations), Cancer Research (351 citations), Molecular Biology (1.1k citations), Genetics (108 citations) and Obstetrics and Gynecology (107 citations). Wenge Wang has collaborated with scholars based in United States, India and China. Frequent co-authors include Wafik S. El‐Deiry, David T. Dicker, Farzan Rastinejad, Rishu Takimoto, Margery C. Beinfeld, Fang Joe Chen, Yingqiu Y. Liu, Gabriel S. Krigsfeld, Patrick A. Mayes and Gen Sheng Wu. Their work appears in journals such as Cancer Biology & Therapy, Gynecologic Oncology, Cancers, Annals of Surgical Oncology and Annals of 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.