Renyi Wu
- Molecular Biology top 5%
- Infectious Diseases top 5%
- Cancer Research top 10%
- Plant Science top 10%
- Biochemistry top 5%
- Co-authors
- Ah‐Ng Tony KongShanyi LiHsiao‐Chen Dina KuoLujing WangRasika R. HudlikarWenji LiDavit SargsyanDavid Cheng
- Topics
- Genomics, phytochemicals, and oxidative stress (29 papers)Epigenetics and DNA Methylation (16 papers)Glutathione Transferases and Polymorphisms (10 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchAngewandte Chemie International Edition
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Renyi Wu
59 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Molecular Biology 1.4k
- Infectious Diseases 295
- Cancer Research 235
- Plant Science 188
- Biochemistry 177
Countries citing papers authored by Renyi Wu
This map shows the geographic impact of Renyi 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 Renyi Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renyi Wu more than expected).
Fields of papers citing papers by Renyi Wu
This network shows the impact of papers produced by Renyi 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 Renyi Wu. The network helps show where Renyi Wu may publish in the future.
Co-authorship network of co-authors of Renyi Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Renyi Wu. A scholar is included among the top collaborators of Renyi Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Renyi Wu. Renyi Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 6 | |
| 4 | 10 | |
| 5 | 1 | |
| 6 | 13 | |
| 7 | 20 | |
| 8 | An Update on Current Therapeutic Drugs Treating COVID-19breakdown → | 418 |
| 9 | 35 | |
| 10 | 17 | |
| 11 | 34 | |
| 12 | 53 | |
| 13 | 52 | |
| 14 | 73 | |
| 15 | 23 | |
| 16 | 11 | |
| 17 | 42 | |
| 18 | 41 | |
| 19 | 57 | |
| 20 | Evaluation of hybrid rice combinations for resistance to Sitotroga cerealella Olivier in stored grain. | 1 |
About Renyi Wu
Renyi Wu is a scholar working on Biochemistry, Molecular Medicine and Molecular Biology, having authored 60 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genomics, phytochemicals, and oxidative stress (29 papers), Epigenetics and DNA Methylation (16 papers) and Glutathione Transferases and Polymorphisms (10 papers). The work is most often cited by research in Biochemistry (177 citations), Molecular Medicine (127 citations) and Molecular Biology (1.4k citations). Renyi Wu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Ah‐Ng Tony Kong, Shanyi Li, Hsiao‐Chen Dina Kuo, Lujing Wang, Rasika R. Hudlikar, Wenji Li, Davit Sargsyan, David Cheng, Ran Yin and Rebecca Mary Peter. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Angewandte Chemie International Edition.
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.