Tiejun Shui

550 citations
29 papers · 212 · h-index 10

Impact in

    • Leprosy Research and Treatment
    • Tuberculosis Research and Epidemiology
    • SARS-CoV-2 and COVID-19 Research
    • Brucella: diagnosis, epidemiology, treatment

Papers in

Tiejun Shui

27 papers receiving 202 citations

Peers

Tiejun Shui
Comparison fields: 5 of 54
  • Infectious Diseases 98
  • Small Animals 23
  • Epidemiology 54
  • Cardiology and Cardiovascular Medicine 31
  • Modeling and Simulation 6
Replace Jacqueline Walker with:
Jacqueline Walker United Kingdom
Mark A. Williams United States
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Uma Raman India
Haruhiko Ishioka Japan
Rusmir Baljić Bosnia and Herzegovina
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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 29 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 202315
4 201614
5 202013
6 202113
7 202112
8 202111
9 202310
10 20229
11 20227
12 20217
13 20236
14 20236
15 20215
16 20235
17 20245
18
Analysis on Risk Factors for Measles Among 0-3 Years Old in Dehui City
20064
19 20224
20 20244

About Tiejun Shui

Tiejun Shui is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine, Small Animals, Epidemiology and Surgery, having authored 29 papers that have together received 212 indexed citations. Recurring topics across this work include Leprosy Research and Treatment (9 papers), Viral Infections and Immunology Research (8 papers), Brucella: diagnosis, epidemiology, treatment (3 papers), Autophagy in Disease and Therapy (2 papers), Tuberculosis Research and Epidemiology (1 paper), SARS-CoV-2 detection and testing (1 paper), Virology and Viral Diseases (1 paper) and Mosquito-borne diseases and control (1 paper). The work is most often cited by research in Infectious Diseases (98 citations), Small Animals (23 citations), Epidemiology (54 citations), Cardiology and Cardiovascular Medicine (31 citations) and Modeling and Simulation (6 citations). Tiejun Shui has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Xiaohua Chen, Hongbing Liu, Jun Yang, Degang Yang, Yue Ma, Chao Shi, Fei Yin, Qiang Lv, Yaqiong Liu and Tao Zhang. Their work appears in journals such as PLoS neglected tropical diseases, Frontiers in Public Health, BMC Public Health, JMIR Public Health and Surveillance and Journal of Medical Internet Research.

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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