Buqing Sai

33 total papers · 1.0k total citations
23 papers, 732 citations indexed

About

Buqing Sai is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Buqing Sai has authored 23 papers receiving a total of 732 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Oncology and 9 papers in Cancer Research. Recurrent topics in Buqing Sai's work include Cancer-related molecular mechanisms research (4 papers), Cancer Cells and Metastasis (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Buqing Sai is often cited by papers focused on Cancer-related molecular mechanisms research (4 papers), Cancer Cells and Metastasis (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Buqing Sai collaborates with scholars based in China, Saudi Arabia and Hong Kong. Buqing Sai's co-authors include Juanjuan Xiang, Lujuan Wang, Guiyuan Li, Leliang Zheng, Jingqun Tang, Xina Zhang, Fan Wang, Yuhui Wang, Yafei Dai and Zheng Li and has published in prestigious journals such as Advanced Materials, Journal of Biological Chemistry and Scientific Reports.

In The Last Decade

Buqing Sai

19 papers receiving 721 citations

Hit Papers

Hypoxic BMSC-derived exos... 2019 2026 2021 2023 2019 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Hypoxic BMSC-derived exosomal miRNAs promote metastasis of lung cancer cells via STAT3-induced EMT
    2019 433 citations Xina Zhang, Buqing Sai et al. Molecular Cancer profile →

Author Peers

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

Author Last Decade Papers Cites
Buqing Sai 516 399 165 100 96 23 732
Lida Yang 651 1.3× 453 1.1× 169 1.0× 133 1.3× 134 1.4× 18 881
Abdul S. Qadir 506 1.0× 231 0.6× 154 0.9× 127 1.3× 65 0.7× 23 817
Leliang Zheng 470 0.9× 356 0.9× 101 0.6× 79 0.8× 80 0.8× 13 627
Wenchang Lv 535 1.0× 346 0.9× 138 0.8× 111 1.1× 76 0.8× 34 842
Ridha Limame 453 0.9× 272 0.7× 264 1.6× 76 0.8× 68 0.7× 17 770
Ling‐Min Kong 584 1.1× 269 0.7× 135 0.8× 136 1.4× 61 0.6× 22 785
Chongru Zhao 437 0.8× 298 0.7× 119 0.7× 91 0.9× 50 0.5× 23 681
Vanessa Bonazzi 573 1.1× 291 0.7× 222 1.3× 106 1.1× 83 0.9× 27 781
Shujun Zhao 570 1.1× 370 0.9× 184 1.1× 67 0.7× 50 0.5× 16 737
Siwen Liu 421 0.8× 348 0.9× 133 0.8× 76 0.8× 111 1.2× 37 645

Countries citing papers authored by Buqing Sai

Since Specialization
Citations

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

Fields of papers citing papers by Buqing Sai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Buqing Sai

This figure shows the co-authorship network connecting the top 25 collaborators of Buqing Sai. A scholar is included among the top collaborators of Buqing Sai 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 Buqing Sai. Buqing Sai 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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2026