Shuo Shi

2.0k citations
11 papers · 146 indexed · h-index 6
Topics
Genetic Associations and Epidemiology (2 papers)Gene expression and cancer classification (2 papers)Genetic Mapping and Diversity in Plants and Animals (2 papers)
Journals
Nucleic Acids ResearchSHILAP Revista de lepidopterologíaCell Reports
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Shuo Shi

10 papers receiving 143 citations

Peers

Shuo Shi
Comparison fields: 5 of 66
  • Molecular Biology 74
  • Genetics 47
  • Cancer Research 34
  • Immunology 18
  • Pulmonary and Respiratory Medicine 15
Replace Xianglan Lu with:
Xianglan Lu United States
Hoa Giang Vietnam
Yunfei Shang China
Yuezheng Zhang China
Deepak Purushotham United States
Stephanie H. Davis United States
Carolin M. Sauer United Kingdom
Vitor Onuchic United States
Jacob T. Sanders United States
Carlos A. García‐Prieto Spain
Shuo Shi relative to Xianglan Lu United States Xianglan Lu's profile →
Citations per field
00.5×6.5×
Xianglan Lu · 1×
Citations per year

Countries citing papers authored by Shuo Shi

Since Specialization
Citations

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

Fields of papers citing papers by Shuo Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuo Shi

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 1
2 12
3 62
4 5
5 2
6 42
7 10
8 7
9 0
10 3
11
Application of the Analytic Hierarchy Process to Project Risk Management
2

About Shuo Shi

Shuo Shi is a scholar working on Management Information Systems, Safety, Risk, Reliability and Quality and Genetics, having authored 11 papers that have together received 146 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (2 papers), Gene expression and cancer classification (2 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). The work is most often cited by research in Cancer Research (34 citations), Genetics (47 citations) and Molecular Biology (74 citations). Shuo Shi has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jingfa Xiao, Zhenglin Du, Jinyue Wang, Jingyao Zeng, Zaichao Zhang, Na Yuan, Xin Sheng, Yunfei Shang, Zhewen Zhang and Jiayan Wu. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Cell Reports.

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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