Gen Wang

1.5k citations
12 papers · 1.3k · h-index 10

Impact in

  • Virology top 5%
    • Poxvirus research and outbreaks
    • PI3K/AKT/mTOR signaling in cancer
    • Inflammasome and immune disorders
    • Cell death mechanisms and regulation

Papers in

    • Poxvirus research and outbreaks 4
    • Virus-based gene therapy research 5

Gen Wang

12 papers receiving 1.3k citations

Peers

Gen Wang
Comparison fields: 5 of 81
  • Virology 170
  • Molecular Biology 816
  • Immunology 239
  • Genetics 274
  • Oncology 200
Replace S. Funahashi with:
S. Funahashi Japan
Gudrun Hüper United States
Jason J. Chen United States
Salvatore J. Caradonna United States
Robert W. Maul United States
James W. Peacock Canada
Terry S. Robins United States
Roberta K. Reynolds United States
Susanna M. Rybak United States
Hongzhuang Peng United States
Gen Wang relative to S. Funahashi Japan S. Funahashi's profile →
Citations per field
00.5×1.6×
S. Funahashi · 1×
Citations per year

Countries citing papers authored by Gen Wang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Gen Wang Line = papers co-authored together Gen Wang links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2001385
2 2000329
3 2005196
4 2006165
5 200479
6 200662
7 200639
8 200631
9 202013
10 201911
11
Nucleotide Sequence Analysis of HaSNPV Protein Kinase.
19972
12 20062

About Gen Wang

Gen Wang is a scholar working on Virology, Genetics, Molecular Biology, Pathology and Forensic Medicine and Immunology, 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), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Herpesvirus Infections and Treatments (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Virology (170 citations), Molecular Biology (816 citations), Immunology (239 citations), Genetics (274 citations) and Oncology (200 citations). Gen Wang has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Jin Quan Cheng, Mei Sun, Grant McFadden, John W. Barrett, Santo V. Nicosia, Ma Xiaoling, Richard I. Feldman, James B. Johnston, Xiujuan Gao and Chen Chen Jiang. Their work appears in journals such as Journal of Virology, Immunity, Cancer Management and Research, Proceedings of the National Academy of Sciences 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.

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