Jianguo Wu

16.5k citations
273 papers · 10.7k indexed · 3 hit papers · h-index 54
Topics
Hepatitis B Virus Studies (41 papers)Hepatitis C virus research (31 papers)interferon and immune responses (30 papers)

In The Last Decade

Jianguo Wu

268 papers receiving 10.5k citations

Hit Papers

Coronavirus infections and immune responses20202026202220242020202220224008001.2k

Peers

Jianguo Wu
Comparison fields: 5 of 175
  • Molecular Biology 4.4k
  • Infectious Diseases 3.4k
  • Immunology 2.0k
  • Epidemiology 1.9k
  • Genetics 1.0k
Replace Bing Sun with:
Bing Sun China
Akihide Ryo Japan
Ying Zhang China
Ailong Huang China
Stephan Ludwig Germany
Jindřich Činátl Germany
Patrı́cia T. Bozza Brazil
Martin L. Hibberd Singapore
Ilkka Julkunen Finland
Maikel P. Peppelenbosch Netherlands
Jianguo Wu relative to Bing Sun China Bing Sun's profile →
Citations per field
00.5×1.5×2.3×
Bing Sun · 1×
Citations per year

Countries citing papers authored by Jianguo Wu

Since Specialization
Citations

This map shows the geographic impact of Jianguo 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 Jianguo Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianguo Wu more than expected).

Fields of papers citing papers by Jianguo Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jianguo 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 Jianguo Wu. The network helps show where Jianguo Wu may publish in the future.

Co-authorship network of co-authors of Jianguo Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jianguo Wu. A scholar is included among the top collaborators of Jianguo 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 Jianguo Wu. Jianguo Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 1
3 15
4 1
5 6
6 11
7 12
8 14
9
Hypoxia signaling in human health and diseases: implications and prospects for therapeuticsbreakdown →
265
10 30
11 8
12 154
13
Coronavirus infections and immune responsesbreakdown →
1349
14 12
15 14
16 66
17 31
18 10
19 130
20 2

About Jianguo Wu

Jianguo Wu is a scholar working on Hepatology, Infectious Diseases and Virology, having authored 273 papers that have together received 10.7k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (41 papers), Hepatitis C virus research (31 papers) and interferon and immune responses (30 papers). The work is most often cited by research in Infectious Diseases (3.4k citations), Immunology (2.0k citations) and Hepatology (670 citations). Jianguo Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Qiwei Zhang, Wenbiao Wang, Yingle Liu, Geng Li, Ying Zhu, Kailang Wu, Dingwen Hu, Xiaohong Liu, Pan Pan and Yaohua Fan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

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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