Jingsong Chen

7.1k total citations · 1 hit paper
63 papers, 5.6k citations indexed

About

Jingsong Chen is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Jingsong Chen has authored 63 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 14 papers in Cancer Research and 13 papers in Oncology. Recurrent topics in Jingsong Chen's work include Silk-based biomaterials and applications (8 papers), MicroRNA in disease regulation (7 papers) and Tendon Structure and Treatment (6 papers). Jingsong Chen is often cited by papers focused on Silk-based biomaterials and applications (8 papers), MicroRNA in disease regulation (7 papers) and Tendon Structure and Treatment (6 papers). Jingsong Chen collaborates with scholars based in China, United States and Australia. Jingsong Chen's co-authors include Gregory H. Altman, David L. Kaplan, Rebecca L. Horan, John C. Richmond, Frank Diaz, Helen H. Lu, Caroline M. Jakuba, Adam L. Collette, Vassilis Karageorgiou and Xiaohui Huang and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Biomaterials.

In The Last Decade

Jingsong Chen

60 papers receiving 5.4k citations

Hit Papers

Silk-based biomaterials 2002 2026 2010 2018 2002 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingsong Chen China 26 3.6k 1.8k 1.2k 641 632 63 5.6k
F. Philipp Seib United Kingdom 33 2.2k 0.6× 1.2k 0.7× 1.1k 1.0× 377 0.6× 114 0.2× 68 3.4k
Gloria Gronowicz United States 45 1.6k 0.4× 2.9k 1.6× 1.6k 1.4× 1.1k 1.7× 542 0.9× 101 6.9k
Byung‐Moo Min South Korea 34 3.3k 0.9× 838 0.5× 1.9k 1.6× 898 1.4× 155 0.2× 93 5.1k
Vladimir Volloch United States 29 1.5k 0.4× 1.6k 0.9× 1.2k 1.0× 889 1.4× 130 0.2× 74 4.3k
Mikaël M. Martino Switzerland 32 1.6k 0.4× 1.5k 0.8× 1.9k 1.6× 1.2k 1.9× 269 0.4× 53 5.8k
Alyssa Panitch United States 43 1.5k 0.4× 1.4k 0.7× 1.0k 0.8× 854 1.3× 215 0.3× 146 4.7k
Lie Ma China 40 2.5k 0.7× 987 0.5× 2.2k 1.9× 856 1.3× 121 0.2× 133 6.0k
Valeria Chiono Italy 39 3.3k 0.9× 1.0k 0.6× 3.5k 3.0× 1.2k 1.8× 235 0.4× 113 7.0k
Sang‐Hyug Park South Korea 30 2.0k 0.5× 649 0.4× 1.5k 1.2× 536 0.8× 70 0.1× 81 3.5k
Fatemeh Mottaghitalab Iran 32 2.4k 0.7× 725 0.4× 1.9k 1.6× 386 0.6× 71 0.1× 60 3.8k

Countries citing papers authored by Jingsong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jingsong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingsong Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Jingsong Chen. A scholar is included among the top collaborators of Jingsong 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 Jingsong Chen. Jingsong 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.
Yang, Tong, et al.. (2025). AI-Driven Large Language Models in Health Consultations for HIV Patients. Journal of Multidisciplinary Healthcare. Volume 18. 5187–5198. 1 indexed citations
2.
Anderson, Sharon M., et al.. (2024). Characterization of diseased primary human hepatocytes in an all-human cell-based triculture system. Scientific Reports. 14(1). 6772–6772. 2 indexed citations
3.
Zhou, Xiaoyu, et al.. (2023). Application of immune checkpoint inhibitors in immunotherapy for gastric cancer. Immunotherapy. 15(2). 101–115. 9 indexed citations
6.
Wen, Yaokai, et al.. (2021). Prognostic value of KRAS mutation in patients undergoing pulmonary metastasectomy for colorectal cancer: A systematic review and meta-analysis. Critical Reviews in Oncology/Hematology. 160. 103308–103308. 14 indexed citations
7.
Zeng, Gaofeng, Peng Zhong, Guo-Ping Tian, et al.. (2021). The Akt Pathway Mediates the Protective Effects of Myeloid Differentiation Protein 1 in Pathological Cardiac Remodelling. ESC Heart Failure. 8(4). 3214–3222. 3 indexed citations
8.
Shahrdar, Cambize, et al.. (2020). Clinical outcome and explant histology after using a cellular bone allograft in two-stage total hip arthroplasty. Journal of Orthopaedic Surgery and Research. 15(1). 16–16. 5 indexed citations
9.
Luan, Xiaojun, et al.. (2018). Dysfunction and Therapeutic Potential of Endothelial Progenitor Cells in Diabetes Mellitus. Journal of Clinical Medicine Research. 10(10). 752–757. 32 indexed citations
10.
Yi, Wei, Xuan Wei, Mei‐Yin Zhang, et al.. (2016). miR-601 is a prognostic marker and suppresses cell growth and invasion by targeting PTP4A1 in breast cancer. Biomedicine & Pharmacotherapy. 79. 247–253. 30 indexed citations
11.
Chen, Li, Liang Luo, Wei Chen, et al.. (2016). MicroRNA-24 increases hepatocellular carcinoma cell metastasis and invasion by targeting p53: miR-24 targeted p53. Biomedicine & Pharmacotherapy. 84. 1113–1118. 42 indexed citations
12.
Chen, Jingsong, Jiongqiang Huang, Zhijie Huang, et al.. (2016). MicroRNA-379-5p inhibits tumor invasion and metastasis by targeting FAK/AKT signaling in hepatocellular carcinoma. Cancer Letters. 375(1). 73–83. 88 indexed citations
13.
Chen, Jingsong, Jiongqiang Huang, Longjuan Zhang, et al.. (2014). Down-regulation of Gli-1 inhibits hepatocellular carcinoma cell migration and invasion. Molecular and Cellular Biochemistry. 393(1-2). 283–291. 40 indexed citations
14.
Xie, Guie, Hongping Tang, Shaoqing Wu, et al.. (2014). The cyclin-dependent kinase inhibitor SNS-032 induces apoptosis in breast cancer cells via depletion of Mcl-1 and X-linked inhibitor of apoptosis protein and displays antitumor activity in vivo. International Journal of Oncology. 45(2). 804–812. 29 indexed citations
15.
Zhu, Jun, Xiaohua Su, Gang Li, et al.. (2014). Systematic review/Meta-analysis The incidence of acute myocardial infarction in relation to overweight and obesity: a meta-analysis. Archives of Medical Science. 5(5). 855–862. 69 indexed citations
16.
Chen, Jingsong, Qian Wang, Xilin Chen, et al.. (2011). Clinicopathologic Characteristics and Surgical Outcomes of Hepatocellular Carcinoma with Portal Vein Tumor Thrombosis. Journal of Surgical Research. 175(2). 243–250. 35 indexed citations
17.
Fu, Xinhui, Qian Wang, Jingsong Chen, et al.. (2010). Clinical significance of miR-221 and its inverse correlation with p27Kip1 in hepatocellular carcinoma. Molecular Biology Reports. 38(5). 3029–3035. 62 indexed citations
18.
Chen, Jingsong, Qian Wang, Xinhui Fu, et al.. (2009). Involvement of PI3K/PTEN/AKT/mTOR pathway in invasion and metastasis in hepatocellular carcinoma: Association with MMP‐9. Hepatology Research. 39(2). 177–186. 292 indexed citations
19.
Panilaitis, Bruce, Gregory H. Altman, Jingsong Chen, et al.. (2003). Macrophage responses to silk. Biomaterials. 24(18). 3079–3085. 460 indexed citations
20.
Chen, Jingsong. (1999). Insertion/deletion polymorphism in the angiotensin converting enzyme gene is not associated with NIDDM,but a predictor for progression of diabetic nephropathy in a Chinese population. 1 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

Rankless by CCL
2026