Heping Shi

4.6k citations
15 papers · 3.6k indexed · 4 hit papers · h-index 11
Topics
interferon and immune responses (6 papers)Viral Infections and Vectors (3 papers)Immune Response and Inflammation (3 papers)
Partner nations
United StatesItalyFrance

In The Last Decade

Heping Shi

15 papers receiving 3.6k citations

Hit Papers

Cyclic GMP-AMP Is an Endogenous Second Messenger in Innat...2012202620162021201220132017202250010001.5k

Peers

Heping Shi
Comparison fields: 5 of 94
  • Immunology 3.0k
  • Molecular Biology 1.9k
  • Infectious Diseases 1.1k
  • Oncology 483
  • Epidemiology 362
Replace Thomas Zillinger with:
Thomas Zillinger Germany
Marion Goldeck Germany
Tobias Deimling Germany
Carina C. de Oliveira Mann Germany
Tuo Li United States
Delphine Goubau United Kingdom
Sun Hur United States
Andrea Kröger Germany
Beihua Dong United States
Sha-Mei Liao United States
Heping Shi relative to Thomas Zillinger Germany Thomas Zillinger's profile →
Citations per field
00.5×4.3×
Thomas Zillinger · 1×
Citations per year

Countries citing papers authored by Heping Shi

Since Specialization
Citations

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

Fields of papers citing papers by Heping Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heping Shi

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 2
2 3
3
Tumor-targeted delivery of a STING agonist improves cancer immunotherapybreakdown →
145
4 19
5 6
6
cGAS is essential for the antitumor effect of immune checkpoint blockadebreakdown →
425
7 23
8 10
9 69
10 20
11 15
12
Cyclic GMP-AMP Containing Mixed Phosphodiester Linkages Is An Endogenous High-Affinity Ligand for STINGbreakdown →
822
13 90
14
Cyclic GMP-AMP Is an Endogenous Second Messenger in Innate Immune Signaling by Cytosolic DNAbreakdown →
1901
15 65

About Heping Shi

Heping Shi is a scholar working on Immunology, Infectious Diseases and Molecular Biology, having authored 15 papers that have together received 3.6k indexed citations. Recurring topics across this work include interferon and immune responses (6 papers), Viral Infections and Vectors (3 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Immunology (3.0k citations), Infectious Diseases (1.1k citations) and Molecular Biology (1.9k citations). Heping Shi has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Chuo Chen, Zhijian J. Chen, Lijun Sun, Jiaxi Wu, Xiang Chen, Fenghe Du, Xuewu Zhang, Xu Zhang, Shuiqing Hu and Hua Wang. Their work appears in journals such as Science, 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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