Shigui Yang

3.0k citations
12 papers · 277 · h-index 9

Impact in

    • Influenza Virus Research Studies
    • Respiratory viral infections research
    • Viral gastroenteritis research and epidemiology
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
    • Viral Infections and Vectors

Papers in

    • Influenza Virus Research Studies 8
    • Viral gastroenteritis research and epidemiology 2
    • COVID-19 Clinical Research Studies 1

Shigui Yang

12 papers receiving 270 citations

Peers

Shigui Yang
Comparison fields: 5 of 39
  • Epidemiology 194
  • Infectious Diseases 96
  • Agronomy and Crop Science 53
  • Modeling and Simulation 9
  • Immunology 39
Replace Chung‐Chen Li with:
Chung‐Chen Li Taiwan
Karol Szymański Poland
Serdar Epçaçan Türkiye
Seyed Mohammad Ali Hashemi Iran
Kristin Greve-Isdahl Mohn Norway
Savuth Chin Cambodia
Anek Mungaomklang Thailand
S Kashiwagi Japan
Artem Fadeev Russia
Shigui Yang relative to Chung‐Chen Li Taiwan Chung‐Chen Li's profile →
Citations per field
00.5×3.3×
Chung‐Chen Li · 1×
Citations per year

Countries citing papers authored by Shigui Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shigui Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 201388
2 201144
3 201429
4 201726
5 201121
6 201920
7 201417
8 201914
9 201414
10 20242
11
The SNPs of chemokine RANTES promoter and the mutation of its' receptor CCR5 in SLE and controls in Han indigenous in Chinese
20031
12 20241

About Shigui Yang

Shigui Yang is a scholar working on Epidemiology, Infectious Diseases, Critical Care and Intensive Care Medicine, Oncology and Agronomy and Crop Science, having authored 12 papers that have together received 277 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (8 papers), Viral gastroenteritis research and epidemiology (2 papers), COVID-19 Impact on Reproduction (1 paper), Thermal Regulation in Medicine (1 paper), COVID-19 Clinical Research Studies (1 paper), Hepatitis Viruses Studies and Epidemiology (1 paper), Chemokine receptors and signaling (1 paper) and Immune Cell Function and Interaction (1 paper). The work is most often cited by research in Epidemiology (194 citations), Infectious Diseases (96 citations), Agronomy and Crop Science (53 citations), Modeling and Simulation (9 citations) and Immunology (39 citations). Shigui Yang has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Lanjuan Li, Shufa Zheng, Dawei Cui, Yu Chen, Fei Yu, Xuefen Li, Guoliang Xie, Yu Chen, Xiaoli Liu and Siu-Ying Lau. Their work appears in journals such as Clinical Infectious Diseases, BMC Infectious Diseases, Journal of Infection, Journal of Clinical Microbiology and Frontiers in Public Health.

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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