Baodong Wu
Impact in
- Endocrinology top 2%
- Plant and Fungal Interactions Research
- Plant Science top 5%
- Plant Virus Research Studies
Papers in
-
- Plant Virus Research Studies 14
-
- Viral Infections and Immunology Research 8
- Co-authors
- K. Andrew White (14 shared papers)Beth Nicholson (3 shared papers)Sara Oster (1 shared paper)William B. Vanti (1 shared paper)Yunquan Zhang (8 shared papers)Peter D. Nagy (1 shared paper)Debashish Ray (1 shared paper)Na Hong (1 shared paper)
- Journals
- Journal of Virology (4 papers)PLoS Pathogens (3 papers)Computer Physics Communications (2 papers)RNA (2 papers)IEEE Transactions on Parallel and Distributed Systems (1 paper)
- Partner nations
- CanadaChinaSwitzerland
In The Last Decade
Baodong Wu
27 papers receiving 610 citations
Peers
Comparison fields: 5 of 55
- Endocrinology 226
- Plant Science 456
- Animal Science and Zoology 69
- Insect Science 78
- Cardiology and Cardiovascular Medicine 144
Countries citing papers authored by Baodong Wu
This map shows the geographic impact of Baodong 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 Baodong Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baodong Wu more than expected).
Fields of papers citing papers by Baodong Wu
This network shows the impact of papers produced by Baodong 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 Baodong Wu. The network helps show where Baodong Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Baodong 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 89 | |
| 2 | 2010 | 66 | |
| 3 | 2011 | 63 | |
| 4 | 1999 | 61 | |
| 5 | 2009 | 56 | |
| 6 | 2001 | 40 | |
| 7 | 2013 | 31 | |
| 8 | 1998 | 27 | |
| 9 | 2003 | 26 | |
| 10 | 2007 | 18 | |
| 11 | 2011 | 15 | |
| 12 | 2010 | 15 | |
| 13 | 2020 | 15 | |
| 14 | 2020 | 13 | |
| 15 | 2020 | 13 | |
| 16 | 2007 | 11 | |
| 17 | 2018 | 10 | |
| 18 | 2016 | 10 | |
| 19 | 2019 | 10 | |
| 20 | 2015 | 8 |
About Baodong Wu
Baodong Wu is a scholar working on Plant Science, Cardiology and Cardiovascular Medicine, Molecular Biology, Endocrinology and Animal Science and Zoology, having authored 27 papers that have together received 618 indexed citations. Recurring topics across this work include Plant Virus Research Studies (14 papers), Viral Infections and Immunology Research (8 papers), Plant and Fungal Interactions Research (5 papers), Animal Virus Infections Studies (4 papers), Meteorological Phenomena and Simulations (4 papers), CRISPR and Genetic Engineering (3 papers), Climate variability and models (3 papers) and Machine Learning in Materials Science (2 papers). The work is most often cited by research in Endocrinology (226 citations), Plant Science (456 citations), Animal Science and Zoology (69 citations), Insect Science (78 citations) and Cardiology and Cardiovascular Medicine (144 citations). Baodong Wu has collaborated with scholars based in Canada, China and Switzerland. Frequent co-authors include K. Andrew White, Beth Nicholson, Sara Oster, William B. Vanti, Yunquan Zhang, Peter D. Nagy, Debashish Ray, Na Hong, Judit Pogany and Jörg Grigull. Their work appears in journals such as Journal of Virology, PLoS Pathogens, Computer Physics Communications, RNA and IEEE Transactions on Parallel and Distributed Systems.
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.