Baojun Wu
Impact in
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- Immune Response and Inflammation
Papers in
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- Genomics and Phylogenetic Studies 7
- Fungal and yeast genetics research 6
- RNA and protein synthesis mechanisms 5
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- Fungal Biology and Applications 5
- Co-authors
- Weilong Hao (9 shared papers)Meng Jin (3 shared papers)Tiandi Wei (4 shared papers)Murray P. Cox (4 shared papers)Duong T. Nguyen (3 shared papers)Shujie Xiao (3 shared papers)Xiaoyong Ren (3 shared papers)Zhenghui Wang (1 shared paper)
- Journals
- Genome Biology and Evolution (4 papers)G3 Genes Genomes Genetics (2 papers)Molecular Biology and Evolution (2 papers)Applied and Environmental Microbiology (2 papers)Gene (2 papers)
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Baojun Wu
35 papers receiving 532 citations
Peers
Comparison fields: 5 of 80
- Endocrinology 22
- Immunology 82
- Plant Science 149
- Pharmacology 60
- Molecular Biology 241
Countries citing papers authored by Baojun Wu
This map shows the geographic impact of Baojun 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 Baojun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baojun Wu more than expected).
Fields of papers citing papers by Baojun Wu
This network shows the impact of papers produced by Baojun 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 Baojun Wu. The network helps show where Baojun Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Baojun 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 46 | |
| 2 | 2015 | 43 | |
| 3 | 2012 | 43 | |
| 4 | 2019 | 41 | |
| 5 | 2018 | 32 | |
| 6 | 2011 | 30 | |
| 7 | 1984 | 26 | |
| 8 | 2017 | 25 | |
| 9 | 2011 | 24 | |
| 10 | 2006 | 19 | |
| 11 | 2020 | 18 | |
| 12 | 2018 | 18 | |
| 13 | 2011 | 18 | |
| 14 | 2015 | 17 | |
| 15 | 2019 | 14 | |
| 16 | 2017 | 13 | |
| 17 | 2011 | 13 | |
| 18 | 2020 | 12 | |
| 19 | [Displaying of meridian courses travelling over human body surface under natural conditions]. | 1993 | 12 |
| 20 | 2021 | 9 |
About Baojun Wu
Baojun Wu is a scholar working on Molecular Biology, Pharmacology, Immunology, Plant Science and Cancer Research, having authored 40 papers that have together received 538 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), Fungal and yeast genetics research (6 papers), Fungal Biology and Applications (5 papers), Immune Response and Inflammation (5 papers), RNA and protein synthesis mechanisms (5 papers), interferon and immune responses (3 papers), NF-κB Signaling Pathways (3 papers) and Plant and Fungal Interactions Research (2 papers). The work is most often cited by research in Endocrinology (22 citations), Immunology (82 citations), Plant Science (149 citations), Pharmacology (60 citations) and Molecular Biology (241 citations). Baojun Wu has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Weilong Hao, Meng Jin, Tiandi Wei, Murray P. Cox, Duong T. Nguyen, Shujie Xiao, Xiaoyong Ren, Zhenghui Wang, Xiaoyun Lu and Yi Zhang. Their work appears in journals such as Genome Biology and Evolution, G3 Genes Genomes Genetics, Molecular Biology and Evolution, Applied and Environmental Microbiology and Gene.
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.