Kaihui Wu
Impact in
- Microbiology top 1%
- Bacterial Infections and Vaccines
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
-
- Circular RNAs in diseases 6
- RNA and protein synthesis mechanisms 2
-
- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 5
- Co-authors
- Xumin Zhou (6 shared papers)Taowei Yang (8 shared papers)Daojun Lv (6 shared papers)Wenbin Chen (6 shared papers)Phang C. Tai (2 shared papers)Jianming Lü (5 shared papers)Gary N. Sanden (4 shared papers)Kathleen M. Tatti (3 shared papers)
- Journals
- Journal of Clinical Microbiology (2 papers)Frontiers in Cell and Developmental Biology (2 papers)Cell Death and Disease (2 papers)Pharmacological Research (1 paper)Microbiome (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Kaihui Wu
27 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 95
- Microbiology 274
- Cancer Research 215
- Epidemiology 326
- Pulmonary and Respiratory Medicine 192
- Infectious Diseases 110
Countries citing papers authored by Kaihui Wu
This map shows the geographic impact of Kaihui 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 Kaihui Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaihui Wu more than expected).
Fields of papers citing papers by Kaihui Wu
This network shows the impact of papers produced by Kaihui 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 Kaihui Wu. The network helps show where Kaihui Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaihui 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 243 | |
| 2 | 2022 | 146 | |
| 3 | 2011 | 144 | |
| 4 | 2020 | 85 | |
| 5 | 2021 | 85 | |
| 6 | 2020 | 77 | |
| 7 | 2008 | 54 | |
| 8 | 2004 | 48 | |
| 9 | 2021 | 42 | |
| 10 | 2021 | 40 | |
| 11 | 2021 | 34 | |
| 12 | 2021 | 27 | |
| 13 | 2021 | 22 | |
| 14 | 2016 | 19 | |
| 15 | 1997 | 19 | |
| 16 | 2018 | 14 | |
| 17 | 2023 | 13 | |
| 18 | 2012 | 12 | |
| 19 | 2020 | 11 | |
| 20 | 2008 | 7 |
About Kaihui Wu
Kaihui Wu is a scholar working on Molecular Biology, Cancer Research, Oncology, Epidemiology and Microbiology, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include Circular RNAs in diseases (6 papers), MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (5 papers), Bacterial Infections and Vaccines (4 papers), Infective Endocarditis Diagnosis and Management (3 papers), Ferroptosis and cancer prognosis (2 papers), Drug Transport and Resistance Mechanisms (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Microbiology (274 citations), Cancer Research (215 citations), Epidemiology (326 citations), Pulmonary and Respiratory Medicine (192 citations) and Infectious Diseases (110 citations). Kaihui Wu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xumin Zhou, Taowei Yang, Daojun Lv, Wenbin Chen, Phang C. Tai, Jianming Lü, Gary N. Sanden, Kathleen M. Tatti, Weibo Zhong and Chuanfan Zhong. Their work appears in journals such as Journal of Clinical Microbiology, Frontiers in Cell and Developmental Biology, Cell Death and Disease, Pharmacological Research and Microbiome.
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.