Xiaofei Yang

430 citations
20 papers · 274 · h-index 11

Impact in

Papers in

Xiaofei Yang

18 papers receiving 269 citations

Peers

Xiaofei Yang
Comparison fields: 5 of 67
  • Hepatology 30
  • Immunology 59
  • Epidemiology 90
  • Infectious Diseases 41
  • Animal Science and Zoology 17
Replace Ronen Borenstein with:
Ronen Borenstein United States
Tabinda Hussain Australia
Zachary R. Barbati United States
Qing‐He Nie China
K Kawanishi Japan
Junki Hirano Japan
Royline Fathima Pinto Germany
Kellie E. Kolb United States
Zhenzhen Zhao China
Xiaofei Yang relative to Ronen Borenstein United States Ronen Borenstein's profile →
Citations per field
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Ronen Borenstein · 1×
Citations per year

Countries citing papers authored by Xiaofei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201440
2 202134
3 202034
4 201628
5 202119
6 202018
7 201716
8
Toll-like receptor 2 promotes T helper 17 cells response in hepatitis B virus infection.
201516
9 201712
10
[Mutation analysis of Cited2 in patients with congenital heart disease].
201012
11 201911
12 201810
13 20198
14 20245
15 20175
16 20132
17 20222
18 20191
19 20251
20 20230

About Xiaofei Yang

Xiaofei Yang is a scholar working on Epidemiology, Molecular Biology, Immunology, Surgery and Pulmonary and Respiratory Medicine, having authored 20 papers that have together received 274 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (5 papers), Congenital heart defects research (3 papers), Congenital Heart Disease Studies (3 papers), Immune Response and Inflammation (2 papers), Hepatitis Viruses Studies and Epidemiology (2 papers), Metabolism and Genetic Disorders (1 paper), Ecology and Vegetation Dynamics Studies (1 paper) and Mesenchymal stem cell research (1 paper). The work is most often cited by research in Hepatology (30 citations), Immunology (59 citations), Epidemiology (90 citations), Infectious Diseases (41 citations) and Animal Science and Zoology (17 citations). Xiaofei Yang has collaborated with scholars based in China, Mexico and United States. Frequent co-authors include Ye Zhang, Jianqi Lian, Jihua Hu, Chang–Xing Huang, Min Xu, Min Zheng, Jie Tian, Wei Xin, Xiaoyun Wu and Yonggang Li. Their work appears in journals such as Frontiers in Immunology, Frontiers in Cellular and Infection Microbiology, Marine Environmental Research, Diversity and Journal of Ethnopharmacology.

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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