Kai‐Chen Wu
Impact in
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- Blood Coagulation and Thrombosis Mechanisms
Papers in
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- Histone Deacetylase Inhibitors Research 5
- Protein Degradation and Inhibitors 3
- Receptor Mechanisms and Signaling 3
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- Complement system in diseases 4
- Mast cells and histamine 2
- Co-authors
- Jianwei Du (1 shared paper)David P. Fairlie (15 shared papers)Junxian Lim (13 shared papers)Jacky Y. Suen (5 shared papers)Yuhong Jiang (4 shared papers)Weijun Xu (4 shared papers)Mei‐Kwan Yau (5 shared papers)Robert C. Reid (6 shared papers)
In The Last Decade
Kai‐Chen Wu
18 papers receiving 443 citations
Peers
Comparison fields: 5 of 85
- Hematology 66
- Immunology and Allergy 28
- Public Health, Environmental and Occupational Health 107
- Parasitology 21
- Immunology 64
Countries citing papers authored by Kai‐Chen Wu
This map shows the geographic impact of Kai‐Chen 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 Kai‐Chen Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai‐Chen Wu more than expected).
Fields of papers citing papers by Kai‐Chen Wu
This network shows the impact of papers produced by Kai‐Chen 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 Kai‐Chen Wu. The network helps show where Kai‐Chen Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai‐Chen 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
| # | Work | ||
|---|---|---|---|
| 1 | Global malaria control and elimination: report of a technical review. | 2010 | 97 |
| 2 | 2017 | 48 | |
| 3 | 2018 | 47 | |
| 4 | 2010 | 37 | |
| 5 | 2017 | 34 | |
| 6 | 2017 | 33 | |
| 7 | 2020 | 29 | |
| 8 | 2020 | 22 | |
| 9 | 2020 | 21 | |
| 10 | 2021 | 19 | |
| 11 | 2022 | 16 | |
| 12 | 2021 | 9 | |
| 13 | 2017 | 9 | |
| 14 | 2023 | 8 | |
| 15 | 2015 | 8 | |
| 16 | 2023 | 7 | |
| 17 | [Mathematical model in prediction and evaluation of the effects on control measures for schistosomiasis]. | 2005 | 4 |
| 18 | 2024 | 1 |
About Kai‐Chen Wu
Kai‐Chen Wu is a scholar working on Molecular Biology, Immunology, Organic Chemistry, Oncology and Hematology, having authored 18 papers that have together received 449 indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (5 papers), Complement system in diseases (4 papers), Protein Degradation and Inhibitors (3 papers), Protease and Inhibitor Mechanisms (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), Receptor Mechanisms and Signaling (3 papers), Synthetic Organic Chemistry Methods (2 papers) and Mast cells and histamine (2 papers). The work is most often cited by research in Hematology (66 citations), Immunology and Allergy (28 citations), Public Health, Environmental and Occupational Health (107 citations), Parasitology (21 citations) and Immunology (64 citations). Kai‐Chen Wu has collaborated with scholars based in Australia, Greece and Taiwan. Frequent co-authors include Jianwei Du, David P. Fairlie, Junxian Lim, Jacky Y. Suen, Yuhong Jiang, Weijun Xu, Mei‐Kwan Yau, Robert C. Reid, Aline D. de Araujo and Andrew C. Good. Their work appears in journals such as Journal of Medicinal Chemistry, British Journal of Pharmacology, Journal of Innate Immunity, Journal of Pharmacology and Experimental Therapeutics and Nature Communications.
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.