Jinen Song

721 total citations · 1 hit paper
14 papers, 439 citations indexed

About

Jinen Song is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Jinen Song has authored 14 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Oncology and 5 papers in Immunology. Recurrent topics in Jinen Song's work include CAR-T cell therapy research (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Melanoma and MAPK Pathways (3 papers). Jinen Song is often cited by papers focused on CAR-T cell therapy research (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Melanoma and MAPK Pathways (3 papers). Jinen Song collaborates with scholars based in China, United States and United Kingdom. Jinen Song's co-authors include Hubing Shi, Xuelei Ma, Xiaowei Liu, Yujie Zhao, Xi Wu, Jing Jing, Hu Zhang, Xinyu Guo, Hao Zhang and Xinyu Liu and has published in prestigious journals such as Advanced Functional Materials, Cancer Cell and Frontiers in Immunology.

In The Last Decade

Jinen Song

14 papers receiving 436 citations

Hit Papers

Immune checkpoint HLA-E:CD94-NKG2A mediates evasion of ci... 2023 2026 2024 2025 2023 50 100 150 200

Peers

Jinen Song
Conall Hayes Ireland
Jinen Song
Citations per year, relative to Jinen Song Jinen Song (= 1×) peers Conall Hayes

Countries citing papers authored by Jinen Song

Since Specialization
Citations

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

Fields of papers citing papers by Jinen Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinen Song

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

All Works

14 of 14 papers shown
1.
Liu, Xiaowei, Jinen Song, Huihui Li, et al.. (2025). Single-cell transcriptional dissection illuminates an evolution of immunosuppressive microenvironment during pancreatic ductal adenocarcinoma metastasis. Signal Transduction and Targeted Therapy. 10(1). 182–182. 2 indexed citations
2.
Liu, Xiaowei, Jinen Song, Hao Zhang, et al.. (2023). Immune checkpoint HLA-E:CD94-NKG2A mediates evasion of circulating tumor cells from NK cell surveillance. Cancer Cell. 41(2). 272–287.e9. 217 indexed citations breakdown →
3.
Liu, Xiaowei, Jinen Song, Xinyu Liu, et al.. (2023). Protocol for identifying immune checkpoint on circulating tumor cells of human pancreatic ductal adenocarcinoma by single-cell RNA sequencing. STAR Protocols. 4(3). 102539–102539. 4 indexed citations
4.
Chen, Wenjie, Genpeng Li, Ke Jiang, et al.. (2022). Dexamethasone for Postoperative Nausea and Vomiting in Papillary Thyroid Carcinoma Patients: A Randomized Clinical Trial. Journal of the American College of Surgeons. 235(3). 454–467. 11 indexed citations
5.
Yu, Jing, Xi Wu, Jinen Song, et al.. (2022). Loss of MHC-I antigen presentation correlated with immune checkpoint blockade tolerance in MAPK inhibitor-resistant melanoma. Frontiers in Pharmacology. 13. 928226–928226. 16 indexed citations
6.
Zheng, Xiaobo, Jinen Song, Chune Yu, et al.. (2022). Single-cell transcriptomic profiling unravels the adenoma-initiation role of protein tyrosine kinases during colorectal tumorigenesis. Signal Transduction and Targeted Therapy. 7(1). 60–60. 47 indexed citations
7.
Mo, Fei, Yinan Xiao, Hao Zeng, et al.. (2021). Curcumin-Induced Global Profiling of Transcriptomes in Small Cell Lung Cancer Cells. Frontiers in Cell and Developmental Biology. 8. 588299–588299. 10 indexed citations
8.
Bai, Xin, Xueyan Wang, Jinen Song, et al.. (2021). Improvement of PD-1 Blockade Efficacy and Elimination of Immune-Related Gastrointestinal Adverse Effect by mTOR Inhibitor. Frontiers in Immunology. 12. 793831–793831. 19 indexed citations
10.
Yu, Chune, Min Zhang, Jinen Song, et al.. (2020). Integrin-Src-YAP1 signaling mediates the melanoma acquired resistance to MAPK and PI3K/mTOR dual targeted therapy. Molecular Biomedicine. 1(1). 12–12. 23 indexed citations
11.
12.
Liu, Xiaowei, Yanlin Feng, Guangchao Xu, et al.. (2019). MAPK‐Targeted Drug Delivered by a pH‐Sensitive MSNP Nanocarrier Synergizes with PD‐1 Blockade in Melanoma without T‐Cell Suppression. Advanced Functional Materials. 29(12). 33 indexed citations
13.
Liu, Dian, Jinen Song, Emily Bowler-Barnett, et al.. (2018). ELF3 is an antagonist of oncogenic-signalling-induced expression of EMT-TF ZEB1. Cancer Biology & Therapy. 20(1). 90–100. 19 indexed citations
14.
Yang, Zhan, Ting Liang, Chao Zhang, et al.. (2015). In vivo Toll‐like receptor 5 (TLR5) imaging with radiolabeled anti‐TLR5 monoclonal antibody in rapamycin‐treated mouse allogeneic skin transplantation model. Transplant Infectious Disease. 17(1). 80–88. 2 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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