Ting Qi

6.4k citations
39 papers · 1.4k indexed · 2 hit papers · h-index 17
Topics
Genetic Associations and Epidemiology (9 papers)Influenza Virus Research Studies (8 papers)Genetic Mapping and Diversity in Plants and Animals (8 papers)

In The Last Decade

Ting Qi

37 papers receiving 1.3k citations

Hit Papers

Integrative analysis of omics summary data reveals putati...201820262020202320182019100200300

Peers

Ting Qi
Comparison fields: 5 of 122
  • Genetics 654
  • Molecular Biology 519
  • Plant Science 197
  • Epidemiology 174
  • Immunology 109
Replace Shuyun Li with:
Shuyun Li China
Ling Yang China
W. Peter M. Benten Germany
Melanie S. Vacchio United States
Loan Nguyen United States
Lei An China
Sarah J. Campbell United Kingdom
Theresa Casey United States
Wei Si China
Francisco J. Díaz United States
Ting Qi relative to Shuyun Li China Shuyun Li's profile →
Citations per field
00.5×3.6×
Shuyun Li · 1×
Citations per year

Countries citing papers authored by Ting Qi

Since Specialization
Citations

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

Fields of papers citing papers by Ting Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Qi. A scholar is included among the top collaborators of Ting Qi 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 Ting Qi. Ting Qi 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 11
2 19
3 11
4 21
5 9
6 96
7 8
8 44
9 6
10
A resource-efficient tool for mixed model association analysis of large-scale databreakdown →
286
11 76
12 2
13
Integrative analysis of omics summary data reveals putative mechanisms underlying complex traitsbreakdown →
306
14 41
15 16
16
Isolation and characterization of equine influenza viruses (H3N8) from China, 2010-2011.
2
17 8
18 37
19 2
20 13

About Ting Qi

Ting Qi is a scholar working on Animal Science and Zoology, Genetics and Agronomy and Crop Science, having authored 39 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (9 papers), Influenza Virus Research Studies (8 papers) and Genetic Mapping and Diversity in Plants and Animals (8 papers). The work is most often cited by research in Genetics (654 citations), Agronomy and Crop Science (101 citations) and Aging (17 citations). Ting Qi has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Jian Yang, Peter M. Visscher, Naomi R. Wray, Zhili Zheng, Yang Wu, Longda Jiang, Kathryn E. Kemper, Zhihong Zhu, Jian Zeng and Futao Zhang. Their work appears in journals such as Nature Communications, Nature Genetics and PLoS ONE.

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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