Xiaonan Wu
- Molecular Biology top 10%
- Plant Science top 10%
- Oncology
- Pulmonary and Respiratory Medicine top 10%
- Food Science top 5%
- Co-authors
- Changhai JinNianfeng ZhangChunlu QianJun LiuMargaret J. BeatonMichael ReithMartin FraunholzSusan E. Douglas
- Topics
- Lung Cancer Treatments and Mutations (18 papers)Lung Cancer Diagnosis and Treatment (9 papers)Lung Cancer Research Studies (7 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Xiaonan Wu
58 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Molecular Biology 1.1k
- Plant Science 322
- Oncology 221
- Pulmonary and Respiratory Medicine 204
- Food Science 181
Countries citing papers authored by Xiaonan Wu
This map shows the geographic impact of Xiaonan 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 Xiaonan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaonan Wu more than expected).
Fields of papers citing papers by Xiaonan Wu
This network shows the impact of papers produced by Xiaonan 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 Xiaonan Wu. The network helps show where Xiaonan Wu may publish in the future.
Co-authorship network of co-authors of Xiaonan Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaonan Wu. A scholar is included among the top collaborators of Xiaonan 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 Xiaonan Wu. Xiaonan 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 | 0 | |
| 2 | 5 | |
| 3 | 14 | |
| 4 | 16 | |
| 5 | 9 | |
| 6 | 6 | |
| 7 | 22 | |
| 8 | 23 | |
| 9 | 13 | |
| 10 | 4 | |
| 11 | 169 | |
| 12 | 57 | |
| 13 | 27 | |
| 14 | 1 | |
| 15 | 32 | |
| 16 | Forest floor fed chickens and biodiversity. | 3 |
| 17 | Study on the Anticoagulant Activities and Promoting Effect on Human Umbilical Vein Endothelial Cells Proliferation Activity of Fucoidan from Sargassum fusiforme Setchel | 3 |
| 18 | 21 | |
| 19 | 319 | |
| 20 | Light Energy Transfer Between Phycobiliproteins and Thylakoids of Higher Plants | 1 |
About Xiaonan Wu
Xiaonan Wu is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 61 papers that have together received 1.9k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (18 papers), Lung Cancer Diagnosis and Treatment (9 papers) and Lung Cancer Research Studies (7 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Food Science (181 citations) and Aquatic Science (69 citations). Xiaonan Wu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Changhai Jin, Nianfeng Zhang, Chunlu Qian, Jun Liu, Margaret J. Beaton, Michael Reith, Martin Fraunholz, Susan E. Douglas, Uwe‐G. Maier and Thomas Cavalier‐Smith. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.