Tiejun Shui

555 citations
28 papers · 194 · h-index 9

Impact in

Papers in

    • Leprosy Research and Treatment 9
    • SARS-CoV-2 and COVID-19 Research 4
    • Tuberculosis Research and Epidemiology 3
    • Viral gastroenteritis research and epidemiology 3
    • Mycobacterium research and diagnosis 4

Tiejun Shui

27 papers receiving 184 citations

Peers

Tiejun Shui
Comparison fields: 5 of 58
  • Infectious Diseases 110
  • Modeling and Simulation 14
  • Agronomy and Crop Science 28
  • Small Animals 20
  • Epidemiology 81
Replace Cynthia Y. Tang with:
Cynthia Y. Tang United States
Andrea Granados Canada
Junyang Yang China
Fatma Levent United States
Özlem Acicbe Türkiye
Yuanyuan Pei China
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Citations per field
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Citations per year

Countries citing papers authored by Tiejun Shui

Since Specialization
Citations

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

Fields of papers citing papers by Tiejun Shui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201629
2
Live Mycobacterium leprae inhibits autophagy and apoptosis of infected macrophages and prevents engulfment of host cell by phagocytes.
201818
3 201614
4 202313
5 202112
6 202012
7 202111
8 20219
9 20229
10 20237
11 20227
12 20216
13 20235
14 20235
15 20215
16 20235
17
Analysis on Risk Factors for Measles Among 0-3 Years Old in Dehui City
20064
18 20244
19 20244
20 20223

About Tiejun Shui

Tiejun Shui is a scholar working on Infectious Diseases, Epidemiology, Agronomy and Crop Science, Cardiology and Cardiovascular Medicine and Surgery, having authored 28 papers that have together received 194 indexed citations. Recurring topics across this work include Leprosy Research and Treatment (9 papers), Animal Disease Management and Epidemiology (9 papers), Viral Infections and Immunology Research (8 papers), Infectious Diseases and Tuberculosis (5 papers), Mycobacterium research and diagnosis (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Tuberculosis Research and Epidemiology (3 papers) and Viral gastroenteritis research and epidemiology (3 papers). The work is most often cited by research in Infectious Diseases (110 citations), Modeling and Simulation (14 citations), Agronomy and Crop Science (28 citations), Small Animals (20 citations) and Epidemiology (81 citations). Tiejun Shui has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Xiaohua Chen, Degang Yang, Jun Yang, Chao Shi, Hongbing Liu, Yaqiong Liu, Yue Ma, Fei Yin, Tao Zhang and Li Zhang. Their work appears in journals such as PLoS neglected tropical diseases, Frontiers in Public Health, JMIR Public Health and Surveillance, BMC Public Health and Scientific Reports.

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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