Delin Kong

690 total citations · 1 hit paper
20 papers, 347 citations indexed

About

Delin Kong is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Delin Kong has authored 20 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Oncology and 7 papers in Cancer Research. Recurrent topics in Delin Kong's work include CAR-T cell therapy research (7 papers), MicroRNA in disease regulation (6 papers) and Circular RNAs in diseases (3 papers). Delin Kong is often cited by papers focused on CAR-T cell therapy research (7 papers), MicroRNA in disease regulation (6 papers) and Circular RNAs in diseases (3 papers). Delin Kong collaborates with scholars based in China, Macao and South Korea. Delin Kong's co-authors include Chun‐Bo Teng, Lin Yang, He Huang, Pengxu Qian, Yingli Han, Yunqin Yan, Mei He, Ce Shi, Meng Zhang and Kejia Hu and has published in prestigious journals such as Blood, Nature Cell Biology and Scientific Reports.

In The Last Decade

Delin Kong

18 papers receiving 345 citations

Hit Papers

Fecal microbiota transplantation from young mice rejuvena... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Delin Kong China 9 215 86 82 70 30 20 347
Emilie Evanno France 6 208 1.0× 62 0.7× 72 0.9× 52 0.7× 13 0.4× 7 334
Deborah Morena Italy 8 222 1.0× 75 0.9× 92 1.1× 35 0.5× 18 0.6× 11 351
Xiaoxuan Fan United States 9 184 0.9× 77 0.9× 44 0.5× 142 2.0× 20 0.7× 32 337
Weiwei Yi China 9 180 0.8× 53 0.6× 42 0.5× 68 1.0× 36 1.2× 13 325
Xiaoli Xie China 9 188 0.9× 81 0.9× 58 0.7× 106 1.5× 10 0.3× 19 329
Hidetaka Ohnuki United States 10 204 0.9× 75 0.9× 47 0.6× 83 1.2× 12 0.4× 23 385
Xinyue Lv China 10 160 0.7× 62 0.7× 75 0.9× 134 1.9× 13 0.4× 27 366
Darren Qiancheng Tan Singapore 9 242 1.1× 46 0.5× 45 0.5× 57 0.8× 71 2.4× 14 398
Emily G. Atkinson United States 9 224 1.0× 76 0.9× 48 0.6× 34 0.5× 13 0.4× 18 326

Countries citing papers authored by Delin Kong

Since Specialization
Citations

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

Fields of papers citing papers by Delin Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Delin Kong

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

All Works

20 of 20 papers shown
1.
Shi, Han, Yijin Chen, Houli Zhao, et al.. (2025). Clinical characteristics and outcomes of BCMA-targeted CAR-T cell recipients with COVID-19 during the Omicron wave: a retrospective study. Bone Marrow Transplantation. 60(5). 587–594.
2.
Yang, Tingting, Yetian Dong, Mingming Zhang, et al.. (2025). Prominent efficacy and good safety of sequential CD19 and CD22 CAR-T therapy in relapsed/refractory adult B-cell acute lymphoblastic leukemia. Experimental Hematology and Oncology. 14(1). 2–2. 3 indexed citations
3.
Yang, Lin, Zhaoru Zhang, Penglei Jiang, et al.. (2024). Phase separation-competent FBL promotes early pre-rRNA processing and translation in acute myeloid leukaemia. Nature Cell Biology. 26(6). 946–961. 8 indexed citations
4.
Zhu, Meng, Yingli Han, Tianning Gu, et al.. (2024). Class I HDAC inhibitors enhance antitumor efficacy and persistence of CAR-T cells by activation of the Wnt pathway. Cell Reports. 43(4). 114065–114065. 39 indexed citations
5.
Zhao, Houli, Delin Kong, Qiqi Zhang, et al.. (2024). Chimeric antigen receptor-T cell therapy for T cell-derived hematological malignancies. Experimental Hematology and Oncology. 13(1). 117–117. 3 indexed citations
6.
Zeng, Xiangjun, Xiaoqing Li, Xia Li, et al.. (2023). Fecal microbiota transplantation from young mice rejuvenates aged hematopoietic stem cells by suppressing inflammation. Blood. 141(14). 1691–1707. 96 indexed citations breakdown →
7.
Jiang, Di, et al.. (2022). MiR-18 inhibitor promotes the differentiation of bovine skeletal muscle-derived satellite cells by increasing MEF2D expression. Journal of Animal Science. 100(11). 1 indexed citations
9.
Li, Xiaoqing, Delin Kong, Xiaohui Si, et al.. (2022). Cyclosporine A regulates PMN-MDSCs viability and function through MPTP in acute GVHD: Old medication, new target. Transplantation and Cellular Therapy. 28(7). 411.e1–411.e9. 3 indexed citations
10.
Kong, Delin, Tingting Yang, Jia Geng, et al.. (2022). Secondary donor-derived CD19 CAR-T therapy is safe and efficacious in acute lymphoblastic leukemia with extramedullary relapse after first autologous CAR-T therapy. Journal of Zhejiang University SCIENCE B. 23(10). 876–880. 1 indexed citations
11.
Shao, Mi, Xinyi Teng, Xin Guo, et al.. (2022). Inhibition of Calcium Signaling Prevents Exhaustion and Enhances Anti‐Leukemia Efficacy of CAR‐T Cells via SOCE‐Calcineurin‐NFAT and Glycolysis Pathways. Advanced Science. 9(9). e2103508–e2103508. 44 indexed citations
12.
Chen, Yi‐Ming, et al.. (2020). Clinical significance of serum miR-187 and miR-143 in the diagnosis of gallbladder cancer. Zhonghua gan-dan waike zazhi. 26(2). 128–133.
13.
Yang, Lin, Delin Kong, Mei He, et al.. (2020). MiR-7 mediates mitochondrial impairment to trigger apoptosis and necroptosis in Rhabdomyosarcoma. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1867(12). 118826–118826. 28 indexed citations
14.
Yang, Lin, Delin Kong, Mei He, et al.. (2020). miR-7 Induces Regulated Cell Death in Rhabdomyosarcoma Though Its Targets in Mitochondria. SSRN Electronic Journal. 1 indexed citations
15.
Yin, Wenxin, et al.. (2019). Guanine-rich RNA binding protein GRSF1 inhibits myoblast differentiation through repressing mitochondrial ROS production. Experimental Cell Research. 381(1). 139–149. 18 indexed citations
16.
Kong, Delin, et al.. (2019). MiR-17 and miR-19 cooperatively promote skeletal muscle cell differentiation. Cellular and Molecular Life Sciences. 76(24). 5041–5054. 49 indexed citations
17.
Yang, Lin, et al.. (2019). EGF suppresses the expression of miR-124a in pancreatic β cell lines via ETS2 activation through the MEK and PI3K signaling pathways. International Journal of Biological Sciences. 15(12). 2561–2575. 18 indexed citations
18.
Kong, Delin, et al.. (2017). DbcAMP regulates adipogenesis in sheep inguinal preadipocytes. Lipids in Health and Disease. 16(1). 93–93. 3 indexed citations
19.
Li, Xuyan, Zhenwu Zhang, Yunchao Li, et al.. (2017). miR-18a counteracts AKT and ERK activation to inhibit the proliferation of pancreatic progenitor cells. Scientific Reports. 7(1). 45002–45002. 17 indexed citations
20.
Kong, Delin, et al.. (2014). Hippo signaling pathway in liver and pancreas: the potential drug target for tumor therapy. Journal of drug targeting. 23(2). 125–133. 14 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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