Sisheng Ouyang

1.6k citations
10 papers · 1.1k indexed · 1 hit paper · h-index 9
Topics
Computational Drug Discovery Methods (4 papers)Protein Structure and Dynamics (2 papers)Peptidase Inhibition and Analysis (2 papers)

In The Last Decade

Sisheng Ouyang

10 papers receiving 1.1k citations

Hit Papers

PharmMapper server: a web server for potential drug targe...20102026201520202010200400600

Peers

Sisheng Ouyang
Comparison fields: 5 of 99
  • Molecular Biology 659
  • Computational Theory and Mathematics 403
  • Organic Chemistry 195
  • Pharmacology 174
  • Pharmacology 161
Replace Yihang Shen with:
Yihang Shen China
Matthias Wirth Germany
Somdutt Mujwar India
Zhi‐Jiang Yao China
Anwar Rayan Israel
Opeyemi Iwaloye Nigeria
Saleha Anwar India
Yanli Wang China
Angelo Pugliese United States
Sergey M. Ivanov Russia
Sisheng Ouyang relative to Yihang Shen China Yihang Shen's profile →
Citations per field
00.5×10×20×34.5×
Yihang Shen · 1×
Citations per year

Countries citing papers authored by Sisheng Ouyang

Since Specialization
Citations

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

Fields of papers citing papers by Sisheng Ouyang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sisheng Ouyang

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 4
2 30
3 18
4 30
5 231
6 9
7 39
8
PharmMapper server: a web server for potential drug target identification using pharmacophore mapping approachbreakdown →
706
9 18
10 44

About Sisheng Ouyang

Sisheng Ouyang is a scholar working on Toxicology, Geriatrics and Gerontology and Computational Theory and Mathematics, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Protein Structure and Dynamics (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Computational Theory and Mathematics (403 citations), Pharmacology (174 citations) and Molecular Biology (659 citations). Sisheng Ouyang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Hualiang Jiang, Honglin Li, Xiaofeng Liu, Zhihua Li, Jiayu Gong, Biao Yu, Yabo Liu, Siyuan Zheng, Kai Huang and Cheng Luo. Their work appears in journals such as Nucleic Acids Research, PLoS ONE and The Journal of Physical Chemistry B.

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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