Li Shi

1.9k citations
43 papers · 1.5k · h-index 17

Impact in

  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • Viral gastroenteritis research and epidemiology
    • SARS-CoV-2 and COVID-19 Research

Papers in

    • Hepatitis B Virus Studies 7
    • Influenza Virus Research Studies 4
    • Cervical Cancer and HPV Research 4
    • RNA Interference and Gene Delivery 4

Li Shi

42 papers receiving 1.4k citations

Peers

Li Shi
Comparison fields: 5 of 119
  • Immunology 457
  • Infectious Diseases 374
  • Epidemiology 612
  • Pharmaceutical Science 80
  • Microbiology 74
Replace Nani Wibowo with:
Nani Wibowo Australia
Aneesh Thakur Denmark
Akira Ainai Japan
Hoorieh Soleimanjahi Iran
Teena Mohan India
Erik B. Lindblad United States
Jonathan P. Wong Canada
Jean‐Pierre Amorij Netherlands
Young Bong Kim South Korea
Elisabetta Monaci Italy
Li Shi relative to Nani Wibowo Australia Nani Wibowo's profile →
Citations per field
00.5×1.5×2.5×
Nani Wibowo · 1×
Citations per year

Countries citing papers authored by Li Shi

Since Specialization
Citations

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

Fields of papers citing papers by Li Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004275
2 2020153
3 2007131
4 2006106
5 200798
6 200597
7 200281
8 200770
9 201265
10 200562
11 200660
12 201048
13 202143
14
A missense mutation in the gammaD-crystallin gene CRYGD associated with autosomal dominant congenital cataract in a Chinese family.
200626
15 202324
16 201923
17 200919
18 202215
19 20087
20 20227

About Li Shi

Li Shi is a scholar working on Epidemiology, Molecular Biology, Immunology, Mechanics of Materials and Infectious Diseases, having authored 43 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (7 papers), Immunotherapy and Immune Responses (5 papers), Brake Systems and Friction Analysis (4 papers), RNA Interference and Gene Delivery (4 papers), Influenza Virus Research Studies (4 papers), Cervical Cancer and HPV Research (4 papers), Railway Engineering and Dynamics (4 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Immunology (457 citations), Infectious Diseases (374 citations), Epidemiology (612 citations), Pharmaceutical Science (80 citations) and Microbiology (74 citations). Li Shi has collaborated with scholars based in China and United States. Frequent co-authors include Gautam Sanyal, Brian K. Meyer, Robert D. Sitrin, Michael J. Caulfield, Roxana Ionescu, Craig T. Przysiecki, John W. Shiver, David B. Volkin, Fan Jiang and Xiaoping Liang. Their work appears in journals such as Journal of Pharmaceutical Sciences, Human Vaccines & Immunotherapeutics, Human Vaccines, Vaccine and Frontiers in Immunology.

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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