Chen Shi

1.7k citations
63 papers · 1.2k · h-index 19

Impact in

Papers in

    • RNA Interference and Gene Delivery 4
    • Xenotransplantation and immune response 4
    • Heparin-Induced Thrombocytopenia and Thrombosis 2

Chen Shi

59 papers receiving 1.1k citations

Peers

Chen Shi
Comparison fields: 5 of 125
  • Internal Medicine 52
  • Clinical Biochemistry 62
  • Infectious Diseases 132
  • Biomaterials 90
  • Obstetrics and Gynecology 45
Replace Mary Ann Knovich with:
Mary Ann Knovich United States
Nengming Lin China
Chirag Patel United States
Manish Tandon United States
Simon P. Hart United Kingdom
Neil M. Goldenberg Canada
Raphaël Duivenvoorden Netherlands
Thomas M. Saba United States
D. Bouchier‐Hayes Ireland
Violetta Dymicka-Piekarska Poland
Chen Shi relative to Mary Ann Knovich United States Mary Ann Knovich's profile →
Citations per field
00.5×2.6×
Mary Ann Knovich · 1×
Citations per year

Countries citing papers authored by Chen Shi

Since Specialization
Citations

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

Fields of papers citing papers by Chen Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020153
2 202194
3 201566
4 200662
5 201460
6 202059
7 201951
8 202043
9 202040
10 202033
11 202026
12 202126
13 201626
14 200925
15 200923
16 202122
17 201920
18 201819
19 201619
20 200417

About Chen Shi

Chen Shi is a scholar working on Molecular Biology, Surgery, Immunology, Infectious Diseases and Anesthesiology and Pain Medicine, having authored 63 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pain Management and Opioid Use (5 papers), RNA Interference and Gene Delivery (4 papers), Xenotransplantation and immune response (4 papers), Nanoparticle-Based Drug Delivery (4 papers), Heparin-Induced Thrombocytopenia and Thrombosis (2 papers), Pregnancy and preeclampsia studies (2 papers), Orbital Angular Momentum in Optics (2 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Internal Medicine (52 citations), Clinical Biochemistry (62 citations), Infectious Diseases (132 citations), Biomaterials (90 citations) and Obstetrics and Gynecology (45 citations). Chen Shi has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Dehao Fu, Yu Zhang, Cong Wang, Xiaobo Feng, Bin Deng, Zhiwen Fu, Hanxiang Wang, Yu He, Kathy K. W. Au-Yeung and Fen Chen. Their work appears in journals such as Journal of Controlled Release, Journal of Nanobiotechnology, Pain Research and Management, Xenotransplantation and Journal of Biomaterials Science Polymer Edition.

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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