Baojun Wu

813 citations
40 papers · 523 · h-index 15

Impact in

Papers in

    • Genomics and Phylogenetic Studies 7
    • Fungal and yeast genetics research 6
    • RNA and protein synthesis mechanisms 5
    • Fungal Biology and Applications 5

Baojun Wu

35 papers receiving 518 citations

Peers

Baojun Wu
Comparison fields: 5 of 79
  • Endocrinology 21
  • Immunology 82
  • Plant Science 141
  • Pharmacology 59
  • Molecular Biology 237
Replace Claire Walker with:
Claire Walker United Kingdom
Ya Li China
Erwin H. Duitman Germany
Lai Wei China
Jiyeon Park South Korea
Brent A. Wiese United States
Yoshinori Fukasawa Japan
Chen Sun China
Tobias Hamp Germany
Baojun Wu relative to Claire Walker United Kingdom Claire Walker's profile →
Citations per field
00.5×4.5×
Claire Walker · 1×
Citations per year

Countries citing papers authored by Baojun Wu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Baojun Wu Line = papers co-authored together Baojun Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201445
2 201242
3 201541
4 201940
5 201832
6 201129
7 201724
8 198424
9 201124
10 202018
11 200618
12 201118
13 201517
14 201817
15 201914
16 201113
17 201712
18 202011
19
[Displaying of meridian courses travelling over human body surface under natural conditions].
199311
20 20119

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 523 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 (21 citations), Immunology (82 citations), Plant Science (141 citations), Pharmacology (59 citations) and Molecular Biology (237 citations). Baojun Wu has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Weilong Hao, Tiandi Wei, Meng Jin, Duong T. Nguyen, Murray P. Cox, Shujie Xiao, Xiaoyong Ren, Xianghong Zhang, Yi Zhang and Xiaoyun Lu. Their work appears in journals such as Genome Biology and Evolution, Molecular Biology and Evolution, Gene, Environmental Microbiology and Applied and Environmental Microbiology.

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.

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