Guijun Shang

3.2k citations
32 papers · 2.2k indexed · 2 hit papers · h-index 16
Topics
interferon and immune responses (10 papers)Viral Infections and Vectors (7 papers)Vibrio bacteria research studies (4 papers)

In The Last Decade

Guijun Shang

32 papers receiving 2.2k citations

Hit Papers

Structural basis of STING binding with and phosphorylatio...201920262021202320192019250500750

Peers

Guijun Shang
Comparison fields: 5 of 96
  • Immunology 1.6k
  • Molecular Biology 1.2k
  • Infectious Diseases 897
  • Public Health, Environmental and Occupational Health 221
  • Epidemiology 178
Replace Moritz M. Gaidt with:
Moritz M. Gaidt Germany
Nigel D. L. Savage Netherlands
Fajian Hou China
Heping Shi United States
Véronique Le Cabec France
Simon A. Johnston United Kingdom
Anetta Härtlová Sweden
Christoph Baumann Germany
Rafika Athman France
Céline Cougoule France
Guijun Shang relative to Moritz M. Gaidt Germany Moritz M. Gaidt's profile →
Citations per field
00.5×1.5×2.2×
Moritz M. Gaidt · 1×
Citations per year

Countries citing papers authored by Guijun Shang

Since Specialization
Citations

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

Fields of papers citing papers by Guijun Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guijun Shang

This figure shows the co-authorship network connecting the top 25 collaborators of Guijun Shang. A scholar is included among the top collaborators of Guijun Shang 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 Guijun Shang. Guijun Shang 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 4
2 5
3 1
4 3
5 4
6 41
7 3
8 2
9 8
10 45
11 116
12 35
13 13
14 11
15 120
16 45
17
Cryo-EM structures of STING reveal its mechanism of activation by cyclic GMP–AMPbreakdown →
530
18
Structural basis of STING binding with and phosphorylation by TBK1breakdown →
765
19 8
20 2

About Guijun Shang

Guijun Shang is a scholar working on Endocrinology, Molecular Medicine and Infectious Diseases, having authored 32 papers that have together received 2.2k indexed citations. Recurring topics across this work include interferon and immune responses (10 papers), Viral Infections and Vectors (7 papers) and Vibrio bacteria research studies (4 papers). The work is most often cited by research in Immunology (1.6k citations), Infectious Diseases (897 citations) and Molecular Biology (1.2k citations). Guijun Shang has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Xiao‐chen Bai, Xuewu Zhang, Zhijian J. Chen, Conggang Zhang, Xiang Gui, Defen Lu, Emiko Uchikawa, Jie Li, Eunhee Choi and Hongtao Yu. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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