Xiaolin Wu
Impact in
- Aquatic Science top 5%
- Seaweed-derived Bioactive Compounds
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
-
- Photosynthetic Processes and Mechanisms 11
- Plant Reproductive Biology 6
-
- Plant Stress Responses and Tolerance 9
- Plant Molecular Biology Research 8
- Co-authors
- Wei Wang (27 shared papers)Fangping Gong (9 shared papers)Xiuli Hu (6 shared papers)Yan Wang (10 shared papers)Hongfei Xiang (26 shared papers)Bohua Chen (20 shared papers)Liqiang Zou (6 shared papers)David Julian McClements (6 shared papers)
- Journals
- Frontiers in Plant Science (10 papers)PLoS ONE (5 papers)Oxidative Medicine and Cellular Longevity (4 papers)Biochemical and Biophysical Research Communications (4 papers)Aging (4 papers)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Xiaolin Wu
105 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 122
- Aquatic Science 145
- Cancer Research 285
- Plant Science 629
- Molecular Biology 892
- Food Science 228
Countries citing papers authored by Xiaolin Wu
This map shows the geographic impact of Xiaolin 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 Xiaolin Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolin Wu more than expected).
Fields of papers citing papers by Xiaolin Wu
This network shows the impact of papers produced by Xiaolin 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 Xiaolin Wu. The network helps show where Xiaolin Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaolin 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 111 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 133 | |
| 2 | 2012 | 82 | |
| 3 | 2017 | 72 | |
| 4 | 2015 | 67 | |
| 5 | 2023 | 66 | |
| 6 | 2015 | 64 | |
| 7 | 2021 | 59 | |
| 8 | 2009 | 57 | |
| 9 | 2021 | 55 | |
| 10 | 2020 | 54 | |
| 11 | 2010 | 54 | |
| 12 | 2020 | 50 | |
| 13 | 2020 | 49 | |
| 14 | 2023 | 48 | |
| 15 | 2020 | 45 | |
| 16 | 2021 | 44 | |
| 17 | 2017 | 43 | |
| 18 | 2012 | 41 | |
| 19 | 2021 | 41 | |
| 20 | 2022 | 39 |
About Xiaolin Wu
Xiaolin Wu is a scholar working on Molecular Biology, Plant Science, Pathology and Forensic Medicine, Surgery and Cancer Research, having authored 111 papers that have together received 2.1k indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (19 papers), Musculoskeletal pain and rehabilitation (12 papers), Photosynthetic Processes and Mechanisms (11 papers), Plant Stress Responses and Tolerance (9 papers), Plant Molecular Biology Research (8 papers), Proteins in Food Systems (7 papers), Plant Reproductive Biology (6 papers) and Cervical and Thoracic Myelopathy (6 papers). The work is most often cited by research in Aquatic Science (145 citations), Cancer Research (285 citations), Plant Science (629 citations), Molecular Biology (892 citations) and Food Science (228 citations). Xiaolin Wu has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Wei Wang, Fangping Gong, Xiuli Hu, Yan Wang, Hongfei Xiang, Bohua Chen, Liqiang Zou, David Julian McClements, Zhu Guo and Wei Liu. Their work appears in journals such as Frontiers in Plant Science, PLoS ONE, Oxidative Medicine and Cellular Longevity, Biochemical and Biophysical Research Communications and Aging.
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.