Ke Si

796 total citations · 1 hit paper
7 papers, 630 citations indexed

About

Ke Si is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Ke Si has authored 7 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Oncology. Recurrent topics in Ke Si's work include Extracellular vesicles in disease (4 papers), RNA Interference and Gene Delivery (3 papers) and Cancer-related molecular mechanisms research (2 papers). Ke Si is often cited by papers focused on Extracellular vesicles in disease (4 papers), RNA Interference and Gene Delivery (3 papers) and Cancer-related molecular mechanisms research (2 papers). Ke Si collaborates with scholars based in China, Hong Kong and United States. Ke Si's co-authors include Zhongdang Xiao, Doulathunnisa Jaffar Ali, Bo Sun, Baoan Chen, Gaofeng Liang, Yanliang Zhu, Tian Tian, Zheng Ye, Cong He and Zhanping Li and has published in prestigious journals such as Experimental Cell Research, Journal of Experimental & Clinical Cancer Research and Journal of Nanobiotechnology.

In The Last Decade

Ke Si

7 papers receiving 625 citations

Hit Papers

align trajectories

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 threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Engineered exosomes for targeted co-delivery of miR-21 inhibitor and chemotherapeutics to reverse drug resistance in colon cancer

2020 536 citations Gaofeng Liang, Yanliang Zhu et al. Journal of Nanobiotechnology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ke Si China	5	548	378	104	47	44	7	630
Doulathunnisa Jaffar Ali China	8	612 1.1×	427 1.1×	101 1.0×	37 0.8×	48 1.1×	11	686
Katie Gilligan Ireland	7	553 1.0×	409 1.1×	73 0.7×	39 0.8×	20 0.5×	9	613
Yongjiang Zheng China	11	396 0.7×	234 0.6×	98 0.9×	64 1.4×	47 1.1×	21	577
Yuen San Chan Czechia	5	527 1.0×	263 0.7×	100 1.0×	31 0.7×	27 0.6×	6	581
Daniel Xin Zhang Hong Kong	6	377 0.7×	238 0.6×	77 0.7×	43 0.9×	24 0.5×	12	426
Kalpana Deepa Priya Dorayappan United States	7	528 1.0×	350 0.9×	129 1.2×	73 1.6×	15 0.3×	16	640
Mingxiang Cai China	13	515 0.9×	361 1.0×	95 0.9×	88 1.9×	58 1.3×	25	682
Yaying Hao China	7	661 1.2×	397 1.1×	128 1.2×	51 1.1×	60 1.4×	10	797
Zhimin Han China	10	356 0.6×	237 0.6×	90 0.9×	56 1.2×	54 1.2×	15	488

Countries citing papers authored by Ke Si

Since Specialization

Citations

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

Fields of papers citing papers by Ke Si

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ke Si

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Zhao, Lei, et al.. (2025). Non-canonical activation of MAPK signaling by the lncRNA ASH1L-AS1-encoded microprotein APPLE through inhibition of PP1/PP2A-mediated ERK1/2 dephosphorylation in hepatocellular carcinoma. Journal of Experimental & Clinical Cancer Research. 44(1). 200–200. 2 indexed citations

2.

Si, Ke, Zehang Jiang, Zhi‐Yong Wu, et al.. (2025). A novel lncRNA-mediated signaling axis governs cancer stemness and splicing reprogramming in hepatocellular carcinoma with therapeutic potential. Journal of Experimental & Clinical Cancer Research. 44(1). 287–287. 1 indexed citations

3.

Si, Ke, Zhanping Li, Zheng Ye, et al.. (2023). Engineered exosome-mediated messenger RNA and single-chain variable fragment delivery for human chimeric antigen receptor T-cell engineering. Cytotherapy. 25(6). 615–624. 33 indexed citations

4.

Si, Ke, Zheng Ye, Doulathunnisa Jaffar Ali, et al.. (2023). Co-delivery of PDL1-blocking scFv and chemotherapeutics using engineered exosomes for cancer therapy. Journal of Drug Delivery Science and Technology. 82. 104337–104337. 10 indexed citations

5.

Liang, Gaofeng, Yanliang Zhu, Doulathunnisa Jaffar Ali, et al.. (2020). Engineered exosomes for targeted co-delivery of miR-21 inhibitor and chemotherapeutics to reverse drug resistance in colon cancer. Journal of Nanobiotechnology. 18(1). 10–10. 536 indexed citations breakdown →

6.

He, Cong, Doulathunnisa Jaffar Ali, Ke Si, et al.. (2020). Epithelial cell -derived microvesicles: A safe delivery platform of CRISPR/Cas9 conferring synergistic anti-tumor effect with sorafenib. Experimental Cell Research. 392(2). 112040–112040. 36 indexed citations

7.

Pan, Tao, et al.. (2018). (+)‐Usnic Acid Inhibits Migration of c‐KIT Positive Cells in Human Colorectal Cancer. Evidence-based Complementary and Alternative Medicine. 2018(1). 5149436–5149436. 12 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.

Explore authors with similar magnitude of impact