Kitty Wang
Impact in
- Marketing top 5%
- Consumer Retail Behavior Studies
- Consumer Market Behavior and Pricing
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- Cancer-related molecular mechanisms research
Papers in
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- Consumer Market Behavior and Pricing 3
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- RNA modifications and cancer 7
- Epigenetics and DNA Methylation 5
- RNA Research and Splicing 3
- Co-authors
- Avi Goldfarb (1 shared paper)Jianjun Chen (5 shared papers)Chao Shen (4 shared papers)Xiaolan Deng (3 shared papers)Hemant K. Bhargava (1 shared paper)Sam K. Hui (1 shared paper)Ruiqi Ge (1 shared paper)Jianhua Yu (1 shared paper)
- Journals
- Genes & Diseases (2 papers)Cell (2 papers)Theranostics (1 paper)Science Translational Medicine (1 paper)Clinical and Translational Medicine (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Kitty Wang
15 papers receiving 616 citations
Kitty Wang's Hit Papers
Peers
Comparison fields: 5 of 76
- Marketing 159
- Cancer Research 117
- Molecular Biology 347
- Strategy and Management 54
- Organizational Behavior and Human Resource Management 33
Countries citing papers authored by Kitty Wang
This map shows the geographic impact of Kitty 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 Kitty Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kitty Wang more than expected).
Fields of papers citing papers by Kitty Wang
This network shows the impact of papers produced by Kitty 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 Kitty Wang. The network helps show where Kitty Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kitty 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 | 2016 | 177 | |
| 2 | QKI shuttles internal m7G-modified transcripts into stress granules and modulates mRNA metabolism Hit paper breakdown → | 2023 | 135 |
| 3 | 2023 | 80 | |
| 4 | 2023 | 63 | |
| 5 | 2024 | 46 | |
| 6 | 2022 | 38 | |
| 7 | 2023 | 32 | |
| 8 | 2022 | 26 | |
| 9 | 2020 | 12 | |
| 10 | 2023 | 9 | |
| 11 | 2024 | 5 | |
| 12 | 2025 | 4 | |
| 13 | 2022 | 2 | |
| 14 | 2022 | 1 | |
| 15 | Moving on Up(stream) with Automated Demand Response Technologies | 2014 | 1 |
About Kitty Wang
Kitty Wang is a scholar working on Marketing, Molecular Biology, Cancer Research, Public Health, Environmental and Occupational Health and Strategy and Management, having authored 15 papers that have together received 631 indexed citations. Recurring topics across this work include RNA modifications and cancer (7 papers), Epigenetics and DNA Methylation (5 papers), Acute Lymphoblastic Leukemia research (3 papers), RNA Research and Splicing (3 papers), Consumer Market Behavior and Pricing (3 papers), Digital Marketing and Social Media (2 papers), Digital Platforms and Economics (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Marketing (159 citations), Cancer Research (117 citations), Molecular Biology (347 citations), Strategy and Management (54 citations) and Organizational Behavior and Human Resource Management (33 citations). Kitty Wang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Avi Goldfarb, Jianjun Chen, Chao Shen, Xiaolan Deng, Hemant K. Bhargava, Sam K. Hui, Ruiqi Ge, Jianhua Yu, Mengjie Chen and Tong Wu. Their work appears in journals such as Genes & Diseases, Cell, Theranostics, Science Translational Medicine and Clinical and Translational Medicine.
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.