Chunying Niu

544 citations
15 papers · 438 indexed · h-index 13
Topics
SARS-CoV-2 and COVID-19 Research (4 papers)Computational Drug Discovery Methods (4 papers)Amino Acid Enzymes and Metabolism (2 papers)
Partner nations
CanadaChinaUnited States

In The Last Decade

Chunying Niu

15 papers receiving 427 citations

Peers

Chunying Niu
Comparison fields: 5 of 83
  • Molecular Biology 186
  • Computational Theory and Mathematics 152
  • Infectious Diseases 140
  • Organic Chemistry 91
  • Pharmacology 65
Replace Giulia Chemi with:
Giulia Chemi Italy
Elizabeth Hamelink Sweden
Shalley N. Kudalkar United States
Kowit Hengphasatporn Japan
Soumendranath Bhakat South Africa
Fatima El Garah France
W. Armand Guiguemde United States
Carmine Talarico Italy
Edwin G. Tse United Kingdom
Åsa Rosenquist Sweden
Chunying Niu relative to Giulia Chemi Italy Giulia Chemi's profile →
Citations per field
00.5×3.2×
Giulia Chemi · 1×
Citations per year

Countries citing papers authored by Chunying Niu

Since Specialization
Citations

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

Fields of papers citing papers by Chunying Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunying Niu

This figure shows the co-authorship network connecting the top 25 collaborators of Chunying Niu. A scholar is included among the top collaborators of Chunying 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 Chunying Niu. Chunying Niu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 9
2 17
3 20
4 2
5 16
6 35
7 31
8 32
9 40
10 16
11 42
12 69
13 23
14 50
15 36

About Chunying Niu

Chunying Niu is a scholar working on Biochemistry, Infectious Diseases and Computational Theory and Mathematics, having authored 15 papers that have together received 438 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), Computational Drug Discovery Methods (4 papers) and Amino Acid Enzymes and Metabolism (2 papers). The work is most often cited by research in Computational Theory and Mathematics (152 citations), Infectious Diseases (140 citations) and Pharmacology (65 citations). Chunying Niu has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Michael N.G. James, Yin Jiang, John C. Vederas, Lindsay D. Eltis, Carly Huitema, M.M. Cherney, Kaixian Chen, Jianhua Shen, Hualiang Jiang and Xiaomin Luo. Their work appears in journals such as Journal of Molecular Biology, The Journal of Physical Chemistry B and Journal of Medicinal Chemistry.

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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