Junwei Niu

541 total citations · 1 hit paper
9 papers, 408 citations indexed

About

Junwei Niu is a scholar working on Infectious Diseases, Animal Science and Zoology and Genetics. According to data from OpenAlex, Junwei Niu has authored 9 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 3 papers in Animal Science and Zoology and 3 papers in Genetics. Recurrent topics in Junwei Niu's work include Virus-based gene therapy research (3 papers), Animal Virus Infections Studies (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). Junwei Niu is often cited by papers focused on Virus-based gene therapy research (3 papers), Animal Virus Infections Studies (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). Junwei Niu collaborates with scholars based in China. Junwei Niu's co-authors include Wenjie Tan, Liang Shen, Yao Deng, Baoying Huang, Chunhua Wang, Wen‐Ching Wang, Shan Cen, Huijuan Wang, Fei Ye and Na Zhu and has published in prestigious journals such as Journal of Virology, Journal of General Virology and Antiviral Research.

In The Last Decade

Junwei Niu

9 papers receiving 399 citations

Hit Papers

High-Throughput Screening and Identification of Potent Br... 2019 2026 2021 2023 2019 50 100 150 200

Peers

Junwei Niu
Comparison fields: 5 of 73
  • Infectious Diseases 208
  • Molecular Biology 96
  • Animal Science and Zoology 80
  • Genetics 64
  • Computational Theory and Mathematics 51
Replace Yue Chai with:
Yue Chai China
Adeline Danneels France
Matthew Hackbart United States
Marion Sevajol France
Shuqi Xiao China
Yosef Sabo United States
Pok-Man Lai Hong Kong
Yasuteru Sakurai Japan
Hailong Zhang China
Miles K. Wandersee United States
Yue Chai China View profile →
Citations per field, relative to Junwei Niu
Junwei Niu · 1×
Citations per year, relative to Junwei Niu
Junwei Niu · 1×

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-authorship network of co-authors of Junwei Niu

This figure shows the co-authorship network connecting the top 25 collaborators of Junwei Niu. A scholar is included among the top collaborators of Junwei Niu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Junwei Niu. Junwei Niu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
# Work Indexed citations
1 1
2 39
3
High-Throughput Screening and Identification of Potent Broad-Spectrum Inhibitors of Coronaviruses breakdown →
245
4 2
5
Do Muscle Enzyme Changes Forecast Liver Injury in Polymyositis/Dermatomyositis Patients Treated with Methylprednisolone and Methotrexate?
4
6 30
7 3
8
CD4+ cells, macrophages, MHC-I and C5b-9 involve the pathogenesis of dysferlinopathy.
30
9 54

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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