Xiaoqi Shi

8.1k citations
8 papers · 1.1k indexed · 1 hit paper · h-index 4
Topics
Genomic variations and chromosomal abnormalities (2 papers)Amino Acid Enzymes and Metabolism (1 paper)Genomics and Rare Diseases (1 paper)
Partner nations
ChinaUnited States

In The Last Decade

Xiaoqi Shi

7 papers receiving 1.0k citations

Hit Papers

BreakDancer: an algorithm for high-resolution mapping of ...20092026201420202009250500750

Peers

Xiaoqi Shi
Comparison fields: 5 of 100
  • Molecular Biology 708
  • Genetics 557
  • Plant Science 268
  • Cancer Research 265
  • Pathology and Forensic Medicine 57
Replace Craig Pohl with:
Craig Pohl United States
Moritz Smolka Austria
Li‐Feng Zhang China
Pietro D’Addabbo Italy
Haley M. Amemiya United States
Diego Borges-Rivera United States
Sarit Cohen Israel
Jennifer M. Love New Zealand
Tanya Sokolsky United States
Xiaoqi Shi relative to Craig Pohl United States Craig Pohl's profile →
Citations per field
00.5×1.5×
Craig Pohl · 1×
Citations per year

Countries citing papers authored by Xiaoqi Shi

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoqi Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoqi Shi

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 4
2 6
3 1
4 1
5 3
6
An Adaptive Decomposition-based Multi-objective Evolutionary Algorithm for Fuzzy Portfolio Selection.
0
7
BreakDancer: an algorithm for high-resolution mapping of genomic structural variationbreakdown →
997
8 47

About Xiaoqi Shi

Xiaoqi Shi is a scholar working on Biochemistry, General Economics, Econometrics and Finance and Environmental Chemistry, having authored 8 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (2 papers), Amino Acid Enzymes and Metabolism (1 paper) and Genomics and Rare Diseases (1 paper). The work is most often cited by research in Genetics (557 citations), Cancer Research (265 citations) and Molecular Biology (708 citations). Xiaoqi Shi has collaborated with scholars based in China and United States. Frequent co-authors include Richard K. Wilson, David E. Larson, Li Ding, Elaine R. Mardis, Michael D. McLellan, Ken Chen, Qunyuan Zhang, Joelle Kalicki, John W. Wallis and Michael C. Wendl. Their work appears in journals such as Bioinformatics, Nature Methods and Sustainability.

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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