Jing Song

811 total citations
47 papers, 552 citations indexed

About

Jing Song is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jing Song has authored 47 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 14 papers in Cancer Research and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jing Song's work include RNA modifications and cancer (10 papers), Cancer-related molecular mechanisms research (9 papers) and Ferroptosis and cancer prognosis (6 papers). Jing Song is often cited by papers focused on RNA modifications and cancer (10 papers), Cancer-related molecular mechanisms research (9 papers) and Ferroptosis and cancer prognosis (6 papers). Jing Song collaborates with scholars based in China, Taiwan and Germany. Jing Song's co-authors include Wanfeng Zhang, Longke Ran, Fangzhou Song, Yue Li, Sen Wang, Ruifang An, Lu Ma, Chunli Wu, Xuemin Chen and M Roggendorf and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Jing Song

43 papers receiving 547 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jing Song China	15	242	161	99	98	85	47	552
Marta Vuerich United States	14	303 1.3×	135 0.8×	52 0.5×	110 1.1×	320 3.8×	19	855
Yingxiao Chen China	14	300 1.2×	89 0.6×	58 0.6×	95 1.0×	127 1.5×	24	630
Poh Yong Ng Singapore	8	266 1.1×	108 0.7×	45 0.5×	39 0.4×	35 0.4×	8	462
Jina Wang China	15	613 2.5×	120 0.7×	64 0.6×	89 0.9×	174 2.0×	33	1.0k
Maria Trovato Italy	15	285 1.2×	101 0.6×	33 0.3×	76 0.8×	137 1.6×	42	764
Ashish Saroha India	15	313 1.3×	104 0.6×	97 1.0×	54 0.6×	120 1.4×	18	561
Shile Sheng China	7	319 1.3×	289 1.8×	91 0.9×	34 0.3×	31 0.4×	9	601
Ruyi Xu China	9	330 1.4×	137 0.9×	44 0.4×	79 0.8×	236 2.8×	31	644
Dong Hyu Cho South Korea	12	177 0.7×	162 1.0×	90 0.9×	44 0.4×	36 0.4×	49	685

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

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

20 of 20 papers shown

Hu, Jian, Li Zhu, Chunchun Han, et al.. (2025). Utilizing plasma biochemical indicators to improve prediction of economic traits in crossbred duck population. Poultry Science. 104(8). 105320–105320.

Lei, Xin, De‐Long Guan, Nan Wei, et al.. (2024). Genomic Analysis Reveals Novel Genes and Adaptive Mechanisms for Artificial Diet Utilization in the Silkworm Strain Guican No.5. Insects. 15(12). 1010–1010.

Song, Jing, et al.. (2023). Thermosensitive nanocomposite components for combined photothermal-photodynamic therapy in liver cancer treatment. Colloids and Surfaces B Biointerfaces. 226. 113317–113317. 13 indexed citations

Song, Jing, et al.. (2021). Pan-Cancer Analysis Reveals the Signature of TMC Family of Genes as a Promising Biomarker for Prognosis and Immunotherapeutic Response. Frontiers in Immunology. 12. 715508–715508. 13 indexed citations

Zhang, Hui, Danfeng Zhang, Lingjuan Liu, et al.. (2020). Identification of a Novel Six-Long Noncoding RNA Signature for Molecular Diagnosis of Dilated Cardiomyopathy. DNA and Cell Biology. 39(12). 2174–2183. 4 indexed citations

Song, Jing, et al.. (2020). The effect of cardiac autonomic function on skeletal function and weakness in elderly diabetic patients. Chin J Postgrad Med. 43(2). 158–162. 1 indexed citations

Guo, Jiamin, Jing Song, Yi Pan, et al.. (2019). Expansion and Maintenance of CD133-Expressing Pancreatic Ductal Epithelial Cells by Inhibition of TGF-β Signaling. Stem Cells and Development. 28(18). 1236–1252. 4 indexed citations

Wang, Aixiang, Longke Ran, Wanfeng Zhang, et al.. (2019). ARHGEF38 as a novel biomarker to predict aggressive prostate cancer. Genes & Diseases. 7(2). 217–224. 6 indexed citations

Song, Jing, et al.. (2019). Identification of Long Non-Coding RNA Signatures for Specific Disease-Free Prognosis in Clear Cell Renal Carcinoma. IEEE Access. 7. 99290–99298. 3 indexed citations

10.

Zhao, Jianquan, Tiewei Lv, Weian Zhao, et al.. (2018). Identification of target genes in cardiomyopathy with fibrosis and cardiac remodeling. Journal of Biomedical Science. 25(1). 63–63. 50 indexed citations

11.

Chen, Shouzhen, Yaofeng Zhu, Jianfeng Cui, et al.. (2017). The role of c-Met in prognosis and clinicopathology of renal cell carcinoma: Results from a single-centre study and systematic review. Urologic Oncology Seminars and Original Investigations. 35(8). 532.e15–532.e23. 8 indexed citations

12.

Song, Jing, Yue Li, & Rui An. (2015). Identification of Early-Onset Preeclampsia-Related Genes and MicroRNAs by Bioinformatics Approaches. Reproductive Sciences. 22(8). 954–963. 18 indexed citations

13.

Yang, Guangjie, et al.. (2014). Non‐invasive imaging of allogeneic transplanted skin graft by ¹³¹I‐anti‐TLR5 mAb. Journal of Cellular and Molecular Medicine. 18(12). 2437–2444. 3 indexed citations

14.

Hao, Panpan, et al.. (2014). Evaluation of 131I-Anti-Angiotensin II Type 1 Receptor Monoclonal Antibody as a Reporter for Hepatocellular Carcinoma. PLoS ONE. 9(1). e85002–e85002. 7 indexed citations

15.

Hou, Xin, Jing Song, Dake Huang, et al.. (2014). CD4+Foxp3+ Tregs protect against innate immune cell-mediated fulminant hepatitis in mice. Molecular Immunology. 63(2). 420–427. 14 indexed citations

16.

Yang, Guangjie, et al.. (2014). Non-invasive imaging of Toll-like receptor 5 expression using 131I-labeled mAb in the mice bearing H22 tumors. Oncology Letters. 7(6). 1919–1924. 4 indexed citations

17.

Fan, Shu Juan, Hong Jiang, Lejin Yang, et al.. (2011). Effects of adrenergic agents on stress-induced brain microstructural and immunochemical changes in adult male Wistar rats. Annals of Anatomy - Anatomischer Anzeiger. 193(5). 418–424. 17 indexed citations

18.

Liang, Ting, et al.. (2011). Evaluation of macrophage migration inhibitory factor as an imaging marker for hepatocellular carcinoma in murine models. Scandinavian Journal of Gastroenterology. 46(6). 720–726. 4 indexed citations

19.

Chen, Chang, Yan‐Qiu Shi, Jing Song, et al.. (2006). Delivery of Nitric Oxide Released from .BETA.-Gal-NONOate Activation by .BETA.-Galactosidase and Its Activity against Escherichia coli. Biological and Pharmaceutical Bulletin. 29(6). 1239–1241. 15 indexed citations

20.

Han, Lihui, Wensheng Sun, Chunhong Ma, et al.. (2002). [The influence of HBV infection on TRAIL-induced apoptosis and its mechanism].. PubMed. 82(9). 597–600. 4 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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