Wenge Wang
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
- Oncology top 2%
- Cancer-related Molecular Pathways
Papers in
-
- Cell death mechanisms and regulation 13
- Ubiquitin and proteasome pathways 6
- DNA Repair Mechanisms 5
- RNA Interference and Gene Delivery 4
- Oncology 34
- Cancer-related Molecular Pathways 19
- Co-authors
- Wafik S. El‐Deiry (31 shared papers)David T. Dicker (15 shared papers)Farzan Rastinejad (4 shared papers)Gerard Apodaca (3 shared papers)Kiyoshi Mori (1 shared paper)Rishu Takimoto (2 shared papers)Hediye Erdjument‐Bromage (1 shared paper)Raúl Rojas (2 shared papers)
- Journals
- Cancer Biology & Therapy (15 papers)Cancer Research (6 papers)Gynecologic Oncology (4 papers)Journal of the National Comprehensive Cancer Network (3 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Wenge Wang
106 papers receiving 5.1k citations
Wenge Wang's Hit Papers
Peers
Comparison fields: 5 of 148
- Modeling and Simulation 285
- Oncology 1.4k
- Cancer Research 701
- Urology 223
- Nephrology 244
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 107 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An Iron Delivery Pathway Mediated by a Lipocalin Hit paper breakdown → | 2002 | 559 |
| 2 | 2020 | 373 | |
| 3 | 2013 | 257 | |
| 4 | 2010 | 230 | |
| 5 | 2004 | 223 | |
| 6 | 2007 | 222 | |
| 7 | 2004 | 201 | |
| 8 | 2006 | 199 | |
| 9 | 2002 | 172 | |
| 10 | 2010 | 154 | |
| 11 | 2012 | 150 | |
| 12 | 2010 | 135 | |
| 13 | 2003 | 128 | |
| 14 | 2002 | 112 | |
| 15 | 2006 | 107 | |
| 16 | 2008 | 93 | |
| 17 | 2008 | 93 | |
| 18 | 2010 | 88 | |
| 19 | 2003 | 75 | |
| 20 | 2005 | 69 |
About Wenge Wang
Wenge Wang is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Immunology and Biotechnology, having authored 107 papers that have together received 5.2k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (19 papers), Cell death mechanisms and regulation (13 papers), Cancer Research and Treatments (9 papers), Ubiquitin and proteasome pathways (6 papers), DNA Repair Mechanisms (5 papers), Virus-based gene therapy research (5 papers), RNA Interference and Gene Delivery (4 papers) and COVID-19 epidemiological studies (4 papers). The work is most often cited by research in Modeling and Simulation (285 citations), Oncology (1.4k citations), Cancer Research (701 citations), Urology (223 citations) and Nephrology (244 citations). Wenge Wang has collaborated with scholars based in United States, China and India. Frequent co-authors include Wafik S. El‐Deiry, David T. Dicker, Farzan Rastinejad, Gerard Apodaca, Kiyoshi Mori, Rishu Takimoto, Hediye Erdjument‐Bromage, Raúl Rojas, Jun Yang and Jonathan Barasch. Their work appears in journals such as Cancer Biology & Therapy, Cancer Research, Gynecologic Oncology, Journal of the National Comprehensive Cancer Network and Proceedings of the National Academy of Sciences.
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.