Shankang Qi

20 total papers · 1.9k total citations
13 papers, 652 citations indexed

About

Shankang Qi is a scholar working on Molecular Biology, Cancer Research and Geriatrics and Gerontology. According to data from OpenAlex, Shankang Qi has authored 13 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Geriatrics and Gerontology. Recurrent topics in Shankang Qi's work include Epigenetics and DNA Methylation (7 papers), Cancer-related gene regulation (5 papers) and Histone Deacetylase Inhibitors Research (4 papers). Shankang Qi is often cited by papers focused on Epigenetics and DNA Methylation (7 papers), Cancer-related gene regulation (5 papers) and Histone Deacetylase Inhibitors Research (4 papers). Shankang Qi collaborates with scholars based in China, United States and Japan. Shankang Qi's co-authors include He Huang, Yingming Zhao, Robert G. Roeder, Zhanyun Tang, Jiemin Wong, Cong Yan, Jiwen Li, Jason W. Locasale, Ming Ji and Xiaojing Liu and has published in prestigious journals such as Journal of Biological Chemistry, Molecular Cell and Cell Metabolism.

In The Last Decade

Shankang Qi

12 papers receiving 645 citations

Hit Papers

Sirtuin 1/sirtuin 3 are r... 2024 2026 2024 10 20 30

Author Peers

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

Author Last Decade Papers Cites
Shankang Qi 536 98 77 59 51 13 652
D R Crawford 338 0.6× 70 0.7× 106 1.4× 48 0.8× 20 0.4× 11 602
Ramkumar Rajendran 417 0.8× 169 1.7× 55 0.7× 99 1.7× 82 1.6× 18 656
James R. Gillig 532 1.0× 56 0.6× 35 0.5× 96 1.6× 62 1.2× 9 768
Stella S. Lee 581 1.1× 99 1.0× 121 1.6× 71 1.2× 33 0.6× 12 737
Palak R. Parekh 474 0.9× 152 1.6× 84 1.1× 133 2.3× 38 0.7× 20 739
Jie Chen 380 0.7× 101 1.0× 76 1.0× 48 0.8× 16 0.3× 10 561
Qiongyi Zhang 465 0.9× 86 0.9× 177 2.3× 33 0.6× 53 1.0× 22 661
Lianhui Sun 443 0.8× 184 1.9× 35 0.5× 94 1.6× 41 0.8× 14 673
Jae Kwagh 410 0.8× 85 0.9× 80 1.0× 41 0.7× 11 0.2× 13 655
Tianyun Hou 453 0.8× 100 1.0× 113 1.5× 90 1.5× 154 3.0× 19 701

Countries citing papers authored by Shankang Qi

Since Specialization
Citations

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

Fields of papers citing papers by Shankang Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shankang Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Shankang Qi. A scholar is included among the top collaborators of Shankang 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 Shankang Qi. Shankang 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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