Kena Wang
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Genetics top 10%
- Virus-based gene therapy research
Papers in
-
- Epigenetics and DNA Methylation 3
-
- Neurotransmitter Receptor Influence on Behavior 3
- Co-authors
- Per A. Peterson (3 shared papers)Glen R. Nemerow (2 shared papers)Klaus Früh (2 shared papers)David B. Williams (1 shared paper)Woong‐Kyung Suh (1 shared paper)Myrna F. Cohen-Doyle (1 shared paper)Shuang Huang (1 shared paper)David A. Cheresh (1 shared paper)
- Journals
- Journal of Virology (2 papers)FEBS Letters (1 paper)Frontiers in Pediatrics (1 paper)Medicine (1 paper)Brain Research (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Kena Wang
18 papers receiving 611 citations
Peers
Comparison fields: 5 of 70
- Immunology 256
- Genetics 201
- Virology 26
- Molecular Biology 317
- Cell Biology 73
Countries citing papers authored by Kena Wang
This map shows the geographic impact of Kena 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 Kena Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kena Wang more than expected).
Fields of papers citing papers by Kena Wang
This network shows the impact of papers produced by Kena 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 Kena Wang. The network helps show where Kena Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kena 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 | 1994 | 267 | |
| 2 | 1998 | 166 | |
| 3 | 2000 | 68 | |
| 4 | 1997 | 32 | |
| 5 | 2023 | 31 | |
| 6 | 1994 | 29 | |
| 7 | 1997 | 21 | |
| 8 | 2015 | 5 | |
| 9 | 2021 | 4 | |
| 10 | 2023 | 4 | |
| 11 | 2017 | 4 | |
| 12 | 2008 | 3 | |
| 13 | 2022 | 2 | |
| 14 | 2014 | 2 | |
| 15 | 2022 | 1 | |
| 16 | 1994 | 1 | |
| 17 | 2021 | 1 | |
| 18 | 2013 | 1 |
About Kena Wang
Kena Wang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Computer Vision and Pattern Recognition, Genetics and Infectious Diseases, having authored 18 papers that have together received 642 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Image and Object Detection Techniques (2 papers), Advanced Vision and Imaging (2 papers), Virus-based gene therapy research (2 papers), Metallurgy and Material Forming (1 paper), Autonomous Vehicle Technology and Safety (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Immunology (256 citations), Genetics (201 citations), Virology (26 citations), Molecular Biology (317 citations) and Cell Biology (73 citations). Kena Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Per A. Peterson, Glen R. Nemerow, Klaus Früh, David B. Williams, Woong‐Kyung Suh, Myrna F. Cohen-Doyle, Shuang Huang, David A. Cheresh, Tinglu Guan and Lars Karlsson. Their work appears in journals such as Journal of Virology, FEBS Letters, Frontiers in Pediatrics, Medicine and Brain Research.
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.