Wei‐Lin Hu

26 papers receiving 552 citations

Peers

Wei‐Lin Hu
Comparison fields: 5 of 88
  • Parasitology 251
  • Small Animals 53
  • Infectious Diseases 95
  • Microbiology 16
  • Immunology 51
Replace Hannah E. Scales with:
Hannah E. Scales United Kingdom
Justyna Rzepecka United Kingdom
Gustavo Mourglia‐Ettlin Uruguay
Olga Senkovich United States
Mohamed Saber Egypt
Simone Eperon Switzerland
Sara Abdelrahman Egypt
Sheilla Andrade de Oliveira Brazil
Maristela G. Cunha Brazil
Matheus Batista Heitor Carneiro Brazil
Wei‐Lin Hu relative to Hannah E. Scales United Kingdom Hannah E. Scales's profile →
Citations per field
00.5×2.8×
Hannah E. Scales · 1×
Citations per year

Countries citing papers authored by Wei‐Lin Hu

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐Lin Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei‐Lin Hu. 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 Wei‐Lin Hu. The network helps show where Wei‐Lin Hu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200876
2 201068
3 201361
4 201451
5 201746
6 201340
7 201733
8 201527
9 201819
10 201718
11 201516
12 202215
13 201814
14 202512
15 201512
16 201911
17
The effect of oxLDL on aortic valve calcification via the Wnt/ β-catenin signaling pathway: an important molecular mechanism.
201511
18 20189
19 20179
20 20243

About Wei‐Lin Hu

Wei‐Lin Hu is a scholar working on Parasitology, Molecular Biology, Infectious Diseases, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 27 papers that have together received 558 indexed citations. Recurring topics across this work include Leptospirosis research and findings (13 papers), Cardiac Valve Diseases and Treatments (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), IL-33, ST2, and ILC Pathways (1 paper), Tuberculosis Research and Epidemiology (1 paper), High Altitude and Hypoxia (1 paper), Osteoarthritis Treatment and Mechanisms (1 paper) and Mycobacterium research and diagnosis (1 paper). The work is most often cited by research in Parasitology (251 citations), Small Animals (53 citations), Infectious Diseases (95 citations), Microbiology (16 citations) and Immunology (51 citations). Wei‐Lin Hu has collaborated with scholars based in China, United States and France. Frequent co-authors include Jie Yan, David M. Ojcius, Xu’ai Lin, Haiyan Dong, Yumei Ge, Aihua Sun, Shijun Li, Dexter Sun, Xingyong Yang and Lanjuan Li. Their work appears in journals such as PLoS ONE, Frontiers in Cellular and Infection Microbiology, Pediatric Pulmonology, Clinical and Vaccine Immunology and Cellular Microbiology.

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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