Gen Wang
Impact in
- Virology top 5%
- Poxvirus research and outbreaks
- Molecular Biology top 10%
- PI3K/AKT/mTOR signaling in cancer
- Inflammasome and immune disorders
- Cell death mechanisms and regulation
Papers in
-
- Cell death mechanisms and regulation 2
- PI3K/AKT/mTOR signaling in cancer 2
- Viral Infectious Diseases and Gene Expression in Insects 2
- RNA Interference and Gene Delivery 2
- Genetics 5
- Virus-based gene therapy research 5
- Co-authors
- Mei Sun (3 shared papers)Jin Q. Cheng (3 shared papers)Grant McFadden (7 shared papers)John W. Barrett (7 shared papers)Richard I. Feldman (2 shared papers)Santo V. Nicosia (2 shared papers)Ma Xiaoling (2 shared papers)James B. Johnston (3 shared papers)
- Journals
- Journal of Virology (3 papers)Immunity (2 papers)American Journal Of Pathology (1 paper)OncoTargets and Therapy (1 paper)Virology (1 paper)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Gen Wang
12 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 79
- Virology 155
- Molecular Biology 873
- Immunology 254
- Genetics 290
- Oncology 239
Countries citing papers authored by Gen Wang
This map shows the geographic impact of Gen 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 Gen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gen Wang more than expected).
Fields of papers citing papers by Gen Wang
This network shows the impact of papers produced by Gen 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 Gen Wang. The network helps show where Gen Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Gen 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
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 373 | |
| 2 | 2000 | 318 | |
| 3 | 2005 | 183 | |
| 4 | 2006 | 157 | |
| 5 | 2004 | 75 | |
| 6 | 2006 | 59 | |
| 7 | 2006 | 40 | |
| 8 | 2006 | 29 | |
| 9 | 2020 | 12 | |
| 10 | 2019 | 10 | |
| 11 | 2006 | 2 | |
| 12 | Nucleotide Sequence Analysis of HaSNPV Protein Kinase. | 1997 | 2 |
About Gen Wang
Gen Wang is a scholar working on Molecular Biology, Genetics, Virology, Pathology and Forensic Medicine and Oncology, having authored 12 papers that have together received 1.3k indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), Poxvirus research and outbreaks (4 papers), Cancer Mechanisms and Therapy (2 papers), Cell death mechanisms and regulation (2 papers), Herpesvirus Infections and Treatments (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Virology (155 citations), Molecular Biology (873 citations), Immunology (254 citations), Genetics (290 citations) and Oncology (239 citations). Gen Wang has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Mei Sun, Jin Q. Cheng, Grant McFadden, John W. Barrett, Richard I. Feldman, Santo V. Nicosia, Ma Xiaoling, James B. Johnston, Xiujuan Gao and Chen Chen Jiang. Their work appears in journals such as Journal of Virology, Immunity, American Journal Of Pathology, OncoTargets and Therapy and Virology.
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.