Chang Shu

3.1k citations
39 papers · 2.5k indexed · 2 hit papers · h-index 20

Chang Shu

36 papers receiving 2.4k citations

Hit Papers

A conserved PLPLRT/SD motif of STING mediates ...3222013202620172021100200300400500

Peers

Chang Shu
Comparison fields: 5 of 98
  • Immunology 1.9k
  • Infectious Diseases 817
  • Molecular Biology 1.2k
  • Cancer Research 217
  • Oncology 220
Replace Amy S.Y. Lee with:
Amy S.Y. Lee United States
Koji Onomoto Japan
Carina C. de Oliveira Mann Germany
Sha-Mei Liao United States
Roghiyh Aliyari United States
Krishnamurthy Malathi United States
Yingli Shang China
Jayashree M. Paranjape United States
Guijun Shang China
Hidehiro Takahashi Japan
Chang Shu relative to Amy S.Y. Lee United States Amy S.Y. Lee's profile →
Citations per field
00.5×1.5×2.1×
Amy S.Y. Lee · 1×
Citations per year

Countries citing papers authored by Chang Shu

Since Specialization
Citations

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

Fields of papers citing papers by Chang Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Chang Shu, 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 Chang Shu Line = papers co-authored together Chang Shu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 202419
3 20240
4 202310
5 20221
6 202018
7
Self-Assembled Nanofibers Elicit Potent HPV16 E7-Specific Cellular Immunity And Abolish Established TC-1 Graft Tumor
20191
8
A conserved PLPLRT/SD motif of STING mediates the recruitment and activation of TBK1breakdown →
2019322
9 201911
10 20186
11 201725
12 201755
13 201720
14 201693
15 201547
16 201511
17 20159
18
Cyclic GMP-AMP Synthase Is Activated by Double-Stranded DNA-Induced Oligomerizationbreakdown →
2013511
19 20133
20 200932

About Chang Shu

Chang Shu is a scholar working on Biological Psychiatry, Immunology and Infectious Diseases, having authored 39 papers that have together received 2.5k indexed citations. Recurring topics across this work include interferon and immune responses (11 papers), Viral Infections and Vectors (8 papers), Immune Response and Inflammation (8 papers), Aquaculture disease management and microbiota (5 papers), Plant Molecular Biology Research (5 papers), Insect and Pesticide Research (4 papers), Photosynthetic Processes and Mechanisms (4 papers) and Erythrocyte Function and Pathophysiology (3 papers). The work is most often cited by research in Immunology (1.9k citations), Infectious Diseases (817 citations) and Molecular Biology (1.2k citations). Chang Shu has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Pingwei Li, C. Cheng Kao, Guanghui Yi, Andrew B. Herr, Catherine L. Shelton, Catherine T. Chaton, Guanghui Yi, Tianjun Xu, Xin Li and Jiasheng Diao. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

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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