Feixiong Cheng

58.2k citations
195 papers · 13.8k indexed · 12 hit papers · h-index 60
Topics
Computational Drug Discovery Methods (69 papers)Bioinformatics and Genomic Networks (56 papers)Cancer Genomics and Diagnostics (14 papers)
Partner nations
United StatesChinaIsrael

In The Last Decade

Feixiong Cheng

186 papers receiving 13.6k citations

Hit Papers

admetSAR: A Comprehensive Source and Free Tool for Assess...20122026201620212012202020122019201950010001.5k

Peers

Feixiong Cheng
Comparison fields: 5 of 191
  • Molecular Biology 7.7k
  • Computational Theory and Mathematics 6.1k
  • Infectious Diseases 1.4k
  • Pharmacology 1.2k
  • Pharmacology 1.1k
Replace Feng Zhu with:
Feng Zhu China
Tudor I. Oprea United States
Sean Ekins United States
Yu Chen China
Tingjun Hou China
Hualiang Jiang China
Jürgen Bajorath Germany
Luhua Lai China
Yun Tang China
Yadi Zhou United States
Feixiong Cheng relative to Feng Zhu China Feng Zhu's profile →
Citations per field
00.5×2.5×
Feng Zhu · 1×
Citations per year

Countries citing papers authored by Feixiong Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Feixiong Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feixiong Cheng

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 10
3 4
4 1
5 0
6 17
7 10
8 8
9 16
10 56
11 9
12 30
13 1
14 58
15 38
16 22
17 66
18 9
19 25
20 93

About Feixiong Cheng

Feixiong Cheng is a scholar working on Computational Theory and Mathematics, Biological Psychiatry and Molecular Biology, having authored 195 papers that have together received 13.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (69 papers), Bioinformatics and Genomic Networks (56 papers) and Cancer Genomics and Diagnostics (14 papers). The work is most often cited by research in Computational Theory and Mathematics (6.1k citations), Pharmacology (1.2k citations) and Molecular Biology (7.7k citations). Feixiong Cheng has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Yadi Zhou, Yun Tang, Weihua Li, Guixia Liu, Ruth Nussinov, Jie Shen, Zhongming Zhao, Zengrui Wu, Philip W. Lee and Yuan Hou. Their work appears in journals such as Nucleic Acids Research, Circulation and Journal of Clinical Investigation.

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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