Ke Wu
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
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- Reproductive System and Pregnancy
- Immune cells in cancer
Papers in
- Finance 19
- Financial Markets and Investment Strategies 18
- Financial Risk and Volatility Modeling 7
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- Bacillus and Francisella bacterial research 4
- Co-authors
- Lei Jiang (7 shared papers)Jianjing Yang (7 shared papers)Guofu Zhou (4 shared papers)Qichuan Zhuge (7 shared papers)Jiangnan Hu (5 shared papers)Hui‐Li Yang (4 shared papers)Haoqi Ni (3 shared papers)Wen‐Jie Zhou (4 shared papers)
- Journals
- Journal of Financial and Quantitative Analysis (2 papers)Pacific-Basin Finance Journal (2 papers)Eye (2 papers)International Review of Economics & Finance (2 papers)Stem Cell Research & Therapy (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ke Wu
61 papers receiving 990 citations
Peers
Comparison fields: 5 of 129
- Cancer Research 172
- Immunology 212
- Finance 91
- Genetics 94
- Reproductive Medicine 72
Countries citing papers authored by Ke Wu
This map shows the geographic impact of Ke Wu'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 Ke Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Wu more than expected).
Fields of papers citing papers by Ke Wu
This network shows the impact of papers produced by Ke Wu. 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 Ke Wu. The network helps show where Ke Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ke Wu, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 164 | |
| 2 | 2019 | 65 | |
| 3 | 2016 | 64 | |
| 4 | 2014 | 58 | |
| 5 | 2018 | 54 | |
| 6 | 2018 | 51 | |
| 7 | 2019 | 40 | |
| 8 | 2021 | 38 | |
| 9 | 2019 | 33 | |
| 10 | 2023 | 33 | |
| 11 | 2018 | 32 | |
| 12 | 2005 | 28 | |
| 13 | 2019 | 27 | |
| 14 | 2017 | 27 | |
| 15 | 2020 | 25 | |
| 16 | 2016 | 23 | |
| 17 | 2020 | 23 | |
| 18 | 2016 | 22 | |
| 19 | 2019 | 20 | |
| 20 | 2023 | 17 |
About Ke Wu
Ke Wu is a scholar working on Finance, Molecular Biology, Epidemiology, Economics and Econometrics and Genetics, having authored 72 papers that have together received 1.0k indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (18 papers), Complex Systems and Time Series Analysis (10 papers), Market Dynamics and Volatility (9 papers), Financial Risk and Volatility Modeling (7 papers), Mesenchymal stem cell research (6 papers), Hepatitis B Virus Studies (4 papers), Bacillus and Francisella bacterial research (4 papers) and Retinal Diseases and Treatments (4 papers). The work is most often cited by research in Cancer Research (172 citations), Immunology (212 citations), Finance (91 citations), Genetics (94 citations) and Reproductive Medicine (72 citations). Ke Wu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Lei Jiang, Jianjing Yang, Guofu Zhou, Qichuan Zhuge, Jiangnan Hu, Hui‐Li Yang, Haoqi Ni, Wen‐Jie Zhou, Ming‐Qing Li and Lijie Huang. Their work appears in journals such as Journal of Financial and Quantitative Analysis, Pacific-Basin Finance Journal, Eye, International Review of Economics & Finance and Stem Cell Research & Therapy.
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.