Zhiao Shi

17.2k citations
35 papers · 4.9k indexed · 4 hit papers · h-index 18
Topics
Bioinformatics and Genomic Networks (17 papers)Gene expression and cancer classification (11 papers)Distributed and Parallel Computing Systems (6 papers)
Partner nations
United StatesChinaFrance

In The Last Decade

Zhiao Shi

32 papers receiving 4.8k citations

Hit Papers

WebGestalt 2019: gene set analysis toolkit wit...2013202620172021201920132017202450010001.5k

Peers

Zhiao Shi
Comparison fields: 5 of 169
  • Molecular Biology 2.9k
  • Cancer Research 931
  • Genetics 636
  • Oncology 522
  • Pulmonary and Respiratory Medicine 516
Replace Jan Komorowski with:
Jan Komorowski Poland
Luciano Milanesi Italy
Chin-Wen Ho Taiwan
Yan Cai China
Bogdan Tanasă United States
Konrad J. Karczewski United States
Weixin Liu China
Xin Chen China
Katriina Aalto‐Setälä Finland
Masao Nagasaki Japan
Zhiao Shi relative to Jan Komorowski Poland Jan Komorowski's profile →
Citations per field
00.5×
Jan Komorowski · 1×
Citations per year

Countries citing papers authored by Zhiao Shi

Since Specialization
Citations

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

Fields of papers citing papers by Zhiao Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhiao Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Zhiao Shi. A scholar is included among the top collaborators of Zhiao Shi 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 Zhiao Shi. Zhiao Shi 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 1
2 2
3 2
4 4
5 33
6 3
7 1
8 27
9 5
10 21
11
WebGestalt 2017: a more comprehensive, powerful, flexible and interactive gene set enrichment analysis toolkitbreakdown →
804
12 98
13
WEB-based GEne SeT AnaLysis Toolkit (WebGestalt): update 2013breakdown →
1195
14 16
15 94
16 24
17 69
18 85
19 67
20 16

About Zhiao Shi

Zhiao Shi is a scholar working on Hardware and Architecture, Molecular Biology and Industrial and Manufacturing Engineering, having authored 35 papers that have together received 4.9k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (17 papers), Gene expression and cancer classification (11 papers) and Distributed and Parallel Computing Systems (6 papers). The work is most often cited by research in Cancer Research (931 citations), Molecular Biology (2.9k citations) and Aging (50 citations). Zhiao Shi has collaborated with scholars based in United States, China and France. Frequent co-authors include Jing Wang, Bing Zhang, Yuxing Liao, Eric J. Jaehnig, Dexter T. Duncan, Bing Zhang, Suhas Vasaikar, Michael S. Greer, Jing Wang and Jack Dongarra. Their work appears in journals such as Cell, Nucleic Acids Research and Nature Communications.

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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