Jing Song

4.1k total citations
97 papers, 2.8k citations indexed

About

Jing Song is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Jing Song has authored 97 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Molecular Biology, 23 papers in Cancer Research and 16 papers in Oncology. Recurrent topics in Jing Song's work include MicroRNA in disease regulation (16 papers), RNA modifications and cancer (13 papers) and Cancer-related molecular mechanisms research (11 papers). Jing Song is often cited by papers focused on MicroRNA in disease regulation (16 papers), RNA modifications and cancer (13 papers) and Cancer-related molecular mechanisms research (11 papers). Jing Song collaborates with scholars based in China, United States and South Korea. Jing Song's co-authors include Yuan Chen, Linda K. Durrin, Theodore G. Krontiris, Thomas A. Wilkinson, Weidong Hu, Ziming Zhang, Xiaohui Du, Qi Wang, Ellis Jaffray and Ronald T. Hay and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Jing Song

90 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing Song China 27 1.9k 671 464 350 243 97 2.8k
Feng Xie China 22 2.0k 1.1× 458 0.7× 784 1.7× 548 1.6× 246 1.0× 50 2.7k
Shixuan Wang China 28 1.1k 0.6× 507 0.8× 440 0.9× 435 1.2× 234 1.0× 106 2.3k
Apostolos Klinakis Greece 28 1.8k 0.9× 529 0.8× 380 0.8× 500 1.4× 125 0.5× 64 3.0k
Hua Xiang China 30 1.2k 0.6× 433 0.6× 355 0.8× 575 1.6× 260 1.1× 98 2.6k
Jeffrey M. Arbeit United States 26 1.4k 0.7× 587 0.9× 716 1.5× 348 1.0× 268 1.1× 51 2.8k
Christine Dubois Belgium 21 1.6k 0.8× 977 1.5× 546 1.2× 359 1.0× 130 0.5× 40 2.8k
Xiao Zhao China 21 1.3k 0.7× 471 0.7× 587 1.3× 413 1.2× 533 2.2× 53 2.7k
Guo‐fu Hu United States 34 2.7k 1.4× 445 0.7× 815 1.8× 388 1.1× 170 0.7× 68 3.9k
Bo Guo China 31 1.4k 0.7× 699 1.0× 779 1.7× 657 1.9× 163 0.7× 86 2.7k

Countries citing papers authored by Jing Song

Since Specialization
Citations

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

Fields of papers citing papers by Jing Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Song

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Song. A scholar is included among the top collaborators of Jing Song 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 Jing Song. Jing Song 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.
Xu, Shanshan, Shi Wang, Junjie Wu, et al.. (2025). Aptamer-Antibody Birecognized Sandwich SERRS Biosensor in Accurate and Rapid Identification of Intraoperative Parathyroid Hormone. Analytical Chemistry. 97(5). 3117–3124. 3 indexed citations
3.
Yang, Qiong, Yue Chen, Qing Liu, et al.. (2024). Effects of exposure to 17α-methyltestosterone on hepatic lipid metabolism in Gobiocypris rarus. Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 287. 110041–110041.
4.
Song, Yuanyuan, et al.. (2024). Cancer-Related Fatigue and Its Influencing Factors Among Colorectal Cancer Patients: A Generalized Linear Modeling Approach. International Journal of General Medicine. Volume 17. 579–595. 6 indexed citations
5.
Lu, Jiachen, et al.. (2024). The Plasmodium vivax MSP1P-19 is involved in binding of reticulocytes through interactions with the membrane proteins band3 and CD71. Journal of Biological Chemistry. 300(5). 107285–107285. 1 indexed citations
6.
Cheng, Hua, Hua Zhang, Jing Song, et al.. (2023). GERDH: an interactive multi‐omics database for cross‐species data mining in horticultural crops. The Plant Journal. 116(4). 1018–1029. 11 indexed citations
7.
Wu, Siyuan, Xiaozhi Lv, Shiwei Liu, et al.. (2023). The Potential Mechanism of Curcumin in Treating Oral Squamous Cell Carcinoma Based on Integrated Bioinformatic Analysis. International Journal of Genomics. 2023. 1–13.
8.
Li, Xia, Yijun Gao, Wuya Chen, et al.. (2022). N6‐methyladenosine modification contributes to arecoline‐mediated oral submucosal fibrosis. Journal of Oral Pathology and Medicine. 51(5). 474–482. 11 indexed citations
9.
Lu, Jiachen, Huijie Yu, Bo Yang, et al.. (2022). Glycosylphosphatidylinositol-anchored micronemal antigen (GAMA) interacts with the band 3 receptor to promote erythrocyte invasion by malaria parasites. Journal of Biological Chemistry. 298(4). 101765–101765. 12 indexed citations
10.
Zou, Chen, Dahong Huang, Siyuan Wu, et al.. (2022). CircMAT2B Induced by TEAD1 Aggravates the Warburg Effect and Tumorigenesis of Oral Squamous Cell Carcinoma through the miR-942-5p/HSPD1 Axis. Journal of Oncology. 2022. 1–14. 2 indexed citations
11.
Liu, Jing‐Xia, Wenjun Xie, Na Liu, et al.. (2021). Thinopyrum intermedium TiAP1 interacts with a chitin deacetylase from Blumeria graminis f. sp. tritici and increases the resistance to Bgt in wheat. Plant Biotechnology Journal. 20(3). 454–467. 12 indexed citations
12.
Song, Jing, Anja Schwenzer, Alicia Wong, et al.. (2021). Shared recognition of citrullinated tenascin-C peptides by T and B cells in rheumatoid arthritis. JCI Insight. 6(5). 37 indexed citations
13.
Zou, Chen, Dahong Huang, Siyuan Wu, et al.. (2021). Identification of Immune-Related Risk Signatures for the Prognostic Prediction in Oral Squamous Cell Carcinoma. Journal of Immunology Research. 2021. 1–13. 11 indexed citations
14.
Wang, Yingyan, Mingxin Xu, Jing Song, et al.. (2021). Cancer-associated fibroblast-derived SDF-1 induces epithelial-mesenchymal transition of lung adenocarcinoma via CXCR4/β-catenin/PPARδ signalling. Cell Death and Disease. 12(2). 214–214. 59 indexed citations
15.
Song, Jing, Peiyan Yang, Xiuwen Li, et al.. (2021). Esophageal Cancer-Derived Extracellular Vesicle miR-21-5p Contributes to EMT of ESCC Cells by Disorganizing Macrophage Polarization. Cancers. 13(16). 4122–4122. 31 indexed citations
16.
Li, Bin, Chunni Lu, Jing Song, et al.. (2020). Host CD8α + and CD103 + dendritic cells prime transplant antigen‐specific CD8 + T cells via cross‐dressing. Immunology and Cell Biology. 98(7). 563–576. 9 indexed citations
17.
18.
Wang, Yaqi, Jing Song, Xinqiang Liu, et al.. (2020). Multiple Effects of Mechanical Stretch on Myogenic Progenitor Cells. Stem Cells and Development. 29(6). 336–352. 34 indexed citations
19.
Song, Jing, Peng Zhang, Mengxin Liu, et al.. (2018). Novel-miR-4885 Promotes Migration and Invasion of Esophageal Cancer Cells Through Targeting CTNNA2. DNA and Cell Biology. 38(2). 151–161. 7 indexed citations
20.
Song, Jing, Linda K. Durrin, Thomas A. Wilkinson, Theodore G. Krontiris, & Yuan Chen. (2004). Identification of a SUMO-binding motif that recognizes SUMO-modified proteins. Proceedings of the National Academy of Sciences. 101(40). 14373–14378. 483 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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