Chong Chen

8.4k total citations · 2 hit papers
193 papers, 4.4k citations indexed

About

Chong Chen is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Chong Chen has authored 193 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Molecular Biology, 46 papers in Hematology and 32 papers in Oncology. Recurrent topics in Chong Chen's work include Hematopoietic Stem Cell Transplantation (19 papers), Acute Myeloid Leukemia Research (16 papers) and Cancer, Hypoxia, and Metabolism (13 papers). Chong Chen is often cited by papers focused on Hematopoietic Stem Cell Transplantation (19 papers), Acute Myeloid Leukemia Research (16 papers) and Cancer, Hypoxia, and Metabolism (13 papers). Chong Chen collaborates with scholars based in China, United States and United Kingdom. Chong Chen's co-authors include Susumu Tonegawa, Yang Liu, Pan Zheng, Yu Liu, Donald G. Rainnie, Robert Greene, Kailin Xu, Scott W. Lowe, Jeansok J. Kim and Lingyu Zeng and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Chong Chen

180 papers receiving 4.4k citations

Hit Papers

mTOR Regulation and Therapeutic Rejuvenation of Aging Hem... 2009 2026 2014 2020 2009 2025 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chong Chen China 33 2.0k 682 622 598 541 193 4.4k
Alexander Birbrair United States 35 2.0k 1.0× 653 1.0× 505 0.8× 810 1.4× 511 0.9× 154 4.8k
Farshid Noorbakhsh Iran 36 1.4k 0.7× 784 1.1× 397 0.6× 440 0.7× 759 1.4× 127 3.9k
Nathan J. Pavlos Australia 39 2.6k 1.3× 516 0.8× 243 0.4× 1.0k 1.7× 537 1.0× 87 5.5k
Tomohiro Matsuyama Japan 46 2.5k 1.2× 654 1.0× 394 0.6× 517 0.9× 419 0.8× 160 6.6k
Johan Kreuger Sweden 28 4.1k 2.0× 593 0.9× 291 0.5× 931 1.6× 920 1.7× 57 6.3k
Chong Chen China 28 2.2k 1.1× 391 0.6× 248 0.4× 277 0.5× 500 0.9× 151 4.4k
David R. Kaplan United States 28 2.7k 1.3× 956 1.4× 261 0.4× 559 0.9× 359 0.7× 74 4.7k
Enrico Crivellato Italy 43 2.3k 1.1× 1.9k 2.8× 416 0.7× 870 1.5× 542 1.0× 172 5.5k
Zhiren Zhang China 37 2.5k 1.2× 1.4k 2.1× 180 0.3× 728 1.2× 913 1.7× 138 5.4k
Fangxia Guan China 44 2.2k 1.1× 521 0.8× 141 0.2× 458 0.8× 716 1.3× 159 6.3k

Countries citing papers authored by Chong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chong Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Chong Chen. A scholar is included among the top collaborators of Chong Chen 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 Chong Chen. Chong Chen 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.
Zhang, Guihua, Chong Geng, Jun Xu, et al.. (2025). Single-cell and bulk transcriptomics uncovers PRKD2-driven tumor stemness and progression in multiple myeloma. Scientific Reports. 15(1). 36723–36723.
2.
Chen, Chong, et al.. (2025). Remimazolam Combined with Andrographolide Improve Postoperative Cognitive Dysfunction in Rats after Cardiopulmonary Bypass through the AMPK/SIRT1 Signaling Pathway. Journal of Integrative Neuroscience. 24(1). 25665–25665. 1 indexed citations
3.
Wang, Yihan, Min Tian, Tiantian Xiong, et al.. (2025). BDH1 identified by transcriptome has a negative effect on lipid metabolism in mammary epithelial cells of dairy goats. BMC Genomics. 26(1). 66–66. 1 indexed citations
4.
Zhai, Xiaoqian, Zhengkun Zhang, Yan Wu, et al.. (2025). Current and future therapies for small cell lung carcinoma. Journal of Hematology & Oncology. 18(1). 37–37. 4 indexed citations
5.
Herold, Fabian, Zhihao Zhang, Soichi Ando, et al.. (2024). Human dopaminergic system in the exercise-cognition link. Trends in Molecular Medicine. 30(8). 708–712. 19 indexed citations
7.
Yin, Zhaoyi, Jingwen Liao, Guoyan Liang, et al.. (2024). Sea Anemone‐Inspired Conducting Polymer Sensing Platform for Integrated Detection of Tumor Protein Marker and Circulating Tumor Cell. Advanced Healthcare Materials. 13(29). e2401305–e2401305. 1 indexed citations
8.
Liu, Ting, et al.. (2024). Genome-wide mapping of native co-localized G4s and R-loops in living cells. eLife. 13. 3 indexed citations
9.
Jiang, Wenna, Lin Liu, Meng Wang, et al.. (2024). KLF15 suppresses stemness of pancreatic cancer by decreasing USP21-mediated Nanog stability. Cellular and Molecular Life Sciences. 81(1). 417–417. 2 indexed citations
10.
Luo, Jingwen, Fei Mo, Zhe Zhang, et al.. (2024). Engineered mitochondria exert potent antitumor immunity as a cancer vaccine platform. Cellular and Molecular Immunology. 21(11). 1251–1265. 4 indexed citations
11.
Huang, Chenlu, Weixia Li, Chong Chen, et al.. (2023). CHINAT-CD4 Score Predicts Transplant-Free Survival in Patients with Acute-on-Chronic Liver Failure. Journal of Inflammation Research. Volume 16. 197–207.
12.
Liu, Yang, Nian Li, Ying Wang, et al.. (2023). A combination of pre-infusion serum ferritin, CRP and IL-6 predicts outcome in relapsed/refractory multiple myeloma patients treated with CAR-T cells. Frontiers in Immunology. 14. 1169071–1169071. 17 indexed citations
13.
Qi, Lu, Xiangyu Pan, Xuelan Chen, et al.. (2023). COX-2/PGE2 upregulation contributes to the chromosome 17p-deleted lymphoma. Oncogenesis. 12(1). 5–5. 7 indexed citations
14.
Zhang, Qi, He Li, Fan Gu, et al.. (2023). Identifying STRN3-RARA as a new fusion gene for acute promyelocytic leukemia. Blood. 142(17). 1494–1499. 4 indexed citations
15.
Zhao, Chengjian, Jonathan Matalonga, Joseph J. Lancman, et al.. (2022). Regenerative failure of intrahepatic biliary cells in Alagille syndrome rescued by elevated Jagged/Notch/Sox9 signaling. Proceedings of the National Academy of Sciences. 119(50). e2201097119–e2201097119. 14 indexed citations
17.
Liu, Yuan-Yuan, et al.. (2018). Primary pulmonary amebic abscess in a patient with pulmonary adenocarcinoma: a case report. Infectious Diseases of Poverty. 7(1). 34–34. 5 indexed citations
18.
Yan, Zhiling, Zhenyu Li, Huanxin Zhang, et al.. (2015). [Efficacy of high-dose dexamethasone plus low-dose rituximab as a second-line treatment in 65 patients with primary immune thrombocytopenia].. PubMed Central. 36(3). 206–9. 2 indexed citations
19.
Zhao, Kai, Lingling Yin, Chong Chen, et al.. (2014). Interleukin-22 Aggravates Murine Acute Graft-Versus-Host Disease by Expanding Effector T Cell and Reducing Regulatory T Cell. Journal of Interferon & Cytokine Research. 34(9). 707–715. 28 indexed citations
20.
Liu, Runhua, Lizhong Wang, Hiroto Katoh, et al.. (2009). FOXP3 Up-regulates p21 Expression by Site-Specific Inhibition of Histone Deacetylase 2/Histone Deacetylase 4 Association to the Locus. Cancer Research. 69(6). 2252–2259. 91 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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