Junwei Niu

547 citations
9 papers · 411 · 1 hit paper · h-index 5

Impact in

Papers in

Junwei Niu

9 papers receiving 402 citations

Junwei Niu's Hit Papers

High-Throughput Screening and Identification of Potent Broad-Spectrum Inhibitors of Coronaviruses 2019 · 247 citations
2470+2+4Years since publication50100150200

Peers

Junwei Niu
Comparison fields: 5 of 74
  • Infectious Diseases 195
  • General Dentistry 16
  • Animal Science and Zoology 80
  • Pharmacology 41
  • Complementary and alternative medicine 26
Replace Katarzyna Owczarek with:
Katarzyna Owczarek Poland
Shuqi Xiao China
Yue Chai China
Adeline Danneels France
Rong Xiang China
Miles K. Wandersee United States
Jacqueline Farinha Shimizu Brazil
Ian A. Durie United States
Rak-Kyun Seong South Korea
Junwei Niu relative to Katarzyna Owczarek Poland Katarzyna Owczarek's profile →
Citations per field
00.5×4.1×
Katarzyna Owczarek · 1×
Citations per year

Countries citing papers authored by Junwei Niu

Since Specialization
Citations

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

Fields of papers citing papers by Junwei Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1
High-Throughput Screening and Identification of Potent Broad-Spectrum Inhibitors of Coronaviruses
Hit paper breakdown →
2019247
2 201455
3 201939
4 201530
5
CD4+ cells, macrophages, MHC-I and C5b-9 involve the pathogenesis of dysferlinopathy.
201530
6
Do Muscle Enzyme Changes Forecast Liver Injury in Polymyositis/Dermatomyositis Patients Treated with Methylprednisolone and Methotrexate?
20164
7 20153
8 20182
9 20231

About Junwei Niu

Junwei Niu is a scholar working on Infectious Diseases, Organic Chemistry, Molecular Biology, Pharmacology and Animal Science and Zoology, having authored 9 papers that have together received 411 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (2 papers), Chemical synthesis and alkaloids (2 papers), Animal Virus Infections Studies (2 papers), Virus-based gene therapy research (2 papers), Electricity Theft Detection Techniques (1 paper), Nanowire Synthesis and Applications (1 paper), Muscle Physiology and Disorders (1 paper) and Microbial infections and disease research (1 paper). The work is most often cited by research in Infectious Diseases (195 citations), General Dentistry (16 citations), Animal Science and Zoology (80 citations), Pharmacology (41 citations) and Complementary and alternative medicine (26 citations). Junwei Niu has collaborated with scholars based in China. Frequent co-authors include Baoying Huang, Liang Shen, Wenjie Tan, Yao Deng, Shan Cen, Huijuan Wang, Chunhua Wang, Na Zhu, Fei Ye and Weihong Gu. Their work appears in journals such as Journal of Virology, Journal of General Virology, Antiviral Research, Energy Engineering and PubMed.

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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