Shijia Bi

839 total citations
4 papers, 251 citations indexed

About

Shijia Bi is a scholar working on Molecular Biology, Geriatrics and Gerontology and Physiology. According to data from OpenAlex, Shijia Bi has authored 4 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Geriatrics and Gerontology and 3 papers in Physiology. Recurrent topics in Shijia Bi's work include Telomeres, Telomerase, and Senescence (3 papers), Sirtuins and Resveratrol in Medicine (3 papers) and RNA regulation and disease (3 papers). Shijia Bi is often cited by papers focused on Telomeres, Telomerase, and Senescence (3 papers), Sirtuins and Resveratrol in Medicine (3 papers) and RNA regulation and disease (3 papers). Shijia Bi collaborates with scholars based in China and India. Shijia Bi's co-authors include Guang‐Hui Liu, Weiqi Zhang, Si Wang, Jing Qu, Zehua Wang, Zeming Wu, Zunpeng Liu, Moshi Song, Jie Ren and Jianli Hu and has published in prestigious journals such as Nucleic Acids Research, Developmental Cell and Protein & Cell.

In The Last Decade

Shijia Bi

4 papers receiving 248 citations

Peers

Shijia Bi
Irina Gurt Israel
Shijia Bi
Citations per year, relative to Shijia Bi Shijia Bi (= 1×) peers Irina Gurt

Countries citing papers authored by Shijia Bi

Since Specialization
Citations

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

Fields of papers citing papers by Shijia Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shijia Bi

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

All Works

4 of 4 papers shown
1.
Bi, Shijia, Xiaoyu Jiang, Qianzhao Ji, et al.. (2024). The sirtuin-associated human senescence program converges on the activation of placenta-specific gene PAPPA. Developmental Cell. 59(8). 991–1009.e12. 22 indexed citations
2.
Jiang, Xiaoyu, Yaobin Jing, Kaowen Yan, et al.. (2024). CRISPR-based screening pinpoints H2AZ1 as a driver of senescence in human mesenchymal stem cells. Protein & Cell. 16(4). 293–299. 5 indexed citations
3.
Ji, Qianzhao, Zeming Wu, Weiqi Zhang, et al.. (2021). SIRT3 consolidates heterochromatin and counteracts senescence. Nucleic Acids Research. 49(8). 4203–4219. 119 indexed citations
4.
Bi, Shijia, Zunpeng Liu, Zeming Wu, et al.. (2020). SIRT7 antagonizes human stem cell aging as a heterochromatin stabilizer. Protein & Cell. 11(7). 483–504. 105 indexed citations

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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