Chong-Shan Shi

2.8k citations
23 papers · 2.2k indexed · 2 hit papers · h-index 19

Chong-Shan Shi

23 papers receiving 2.2k citations

Hit Papers

SARS-Coronavirus Open Reading Frame-8...3152010202620152020100200300

Peers

Chong-Shan Shi
Comparison fields: 5 of 96
  • Immunology 660
  • Physiology 117
  • Infectious Diseases 381
  • Epidemiology 705
  • Cancer Research 297
Replace June‐Yong Lee with:
June‐Yong Lee United States
Lucile Espert France
Dwain L. Thiele United States
Neelam Sharma-Walia United States
Sei Yoshida Japan
You-Wen He United States
Michal Caspi Tal United States
Tamás Oravecz United States
Hossein A. Hamed United States
Chong-Shan Shi United States
Chong-Shan Shi relative to June‐Yong Lee United States June‐Yong Lee's profile →
Citations per field
00.5×1.5×2.3×
June‐Yong Lee · 1×
Citations per year

Countries citing papers authored by Chong-Shan Shi

Since Specialization
Citations

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

Fields of papers citing papers by Chong-Shan Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202213
2 202125
3 202063
4 201954
5
SARS-Coronavirus Open Reading Frame-8b triggers intracellular stress pathways and activates NLRP3 inflammasomesbreakdown →
2019315
6 2018174
7 201622
8 201418
9 201312
10 201211
11 201067
12 2008302
13 2005149
14 200446
15 2003150
16 200232
17 200155
18 200099
19 200071
20 199945

About Chong-Shan Shi

Chong-Shan Shi is a scholar working on Immunology and Allergy, Physiology and Cell Biology, having authored 23 papers that have together received 2.2k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (8 papers), Inflammasome and immune disorders (5 papers), Cell Adhesion Molecules Research (4 papers), NF-κB Signaling Pathways (4 papers), Cellular transport and secretion (3 papers), Cell death mechanisms and regulation (3 papers), interferon and immune responses (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). The work is most often cited by research in Immunology (660 citations), Physiology (117 citations) and Infectious Diseases (381 citations). Chong-Shan Shi has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include John H. Kehrl, Neel R. Nabar, Ning‐Na Huang, Il‐Young Hwang, Hyeseon Cho, Min Wang, Chantal Moratz, Tohru Kozasa, Olena Kamenyeva and Sang‐Bae Han. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Immunity.

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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