Yajuan Qi

46 total papers · 997 total citations
30 papers, 748 citations indexed

About

Yajuan Qi is a scholar working on Molecular Biology, Epidemiology and Hepatology. According to data from OpenAlex, Yajuan Qi has authored 30 papers receiving a total of 748 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 5 papers in Epidemiology and 5 papers in Hepatology. Recurrent topics in Yajuan Qi's work include FOXO transcription factor regulation (6 papers), Liver physiology and pathology (5 papers) and Metabolism, Diabetes, and Cancer (5 papers). Yajuan Qi is often cited by papers focused on FOXO transcription factor regulation (6 papers), Liver physiology and pathology (5 papers) and Metabolism, Diabetes, and Cancer (5 papers). Yajuan Qi collaborates with scholars based in China, United States and Türkiye. Yajuan Qi's co-authors include Shaodong Guo, Kebin Zhang, Zihui Xu, Qinglei Zhu, Rajesh Kumar, Kenneth M. Baker, Candice Thomas, Xiaoping Zhu, Ling Li and Ronald A. DePinho and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nano Letters and Diabetes.

In The Last Decade

Yajuan Qi

28 papers receiving 743 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yajuan Qi 432 160 156 129 125 30 748
Sebastián D. Calligaris 430 1.0× 109 0.7× 112 0.7× 143 1.1× 105 0.8× 23 829
Houshang Monajemi 271 0.6× 194 1.2× 193 1.2× 119 0.9× 133 1.1× 26 879
Jun Peng 437 1.0× 118 0.7× 170 1.1× 69 0.5× 108 0.9× 41 856
Gemma Aragonès 328 0.8× 206 1.3× 275 1.8× 158 1.2× 78 0.6× 36 893
Robert N. Helsley 324 0.8× 184 1.1× 210 1.3× 81 0.6× 134 1.1× 35 902
Zihui Xu 394 0.9× 125 0.8× 128 0.8× 117 0.9× 113 0.9× 30 704
Baochang Lai 395 0.9× 86 0.5× 114 0.7× 76 0.6× 100 0.8× 40 807
Karthickeyan Chella Krishnan 313 0.7× 234 1.5× 231 1.5× 106 0.8× 53 0.4× 25 760
Jiangying Kuang 230 0.5× 247 1.5× 179 1.1× 69 0.5× 73 0.6× 31 677
Božidarka Zarić 309 0.7× 117 0.7× 124 0.8× 82 0.6× 105 0.8× 34 851

Countries citing papers authored by Yajuan Qi

Since Specialization
Citations

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

Fields of papers citing papers by Yajuan Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yajuan Qi

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

All Works

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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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