Jirun Peng

5.6k total citations · 3 hit papers
26 papers, 2.5k citations indexed

About

Jirun Peng is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Jirun Peng has authored 26 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Oncology and 9 papers in Immunology. Recurrent topics in Jirun Peng's work include Cancer Immunotherapy and Biomarkers (6 papers), Epigenetics and DNA Methylation (5 papers) and Immune Cell Function and Interaction (5 papers). Jirun Peng is often cited by papers focused on Cancer Immunotherapy and Biomarkers (6 papers), Epigenetics and DNA Methylation (5 papers) and Immune Cell Function and Interaction (5 papers). Jirun Peng collaborates with scholars based in China and United States. Jirun Peng's co-authors include Zemin Zhang, Qiming Zhang, Xueda Hu, Huahu Guo, Boxi Kang, Yuanyuan Zhang, Xinyi Guo, Ming-Hui Dong, Zhouzerui Liu and Chunhong Zheng and has published in prestigious journals such as Cell, SHILAP Revista de lepidopterología and Cancer Cell.

In The Last Decade

Jirun Peng

26 papers receiving 2.5k citations

Hit Papers

Landscape of Infiltrating... 2017 2026 2020 2023 2017 2022 2023 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jirun Peng China 16 1.2k 1.1k 1.1k 624 363 26 2.5k
Wei Yuan China 32 1.2k 1.0× 912 0.8× 882 0.8× 558 0.9× 399 1.1× 106 2.9k
Su Yin Lim Australia 28 1.3k 1.1× 1.4k 1.2× 1.6k 1.4× 474 0.8× 415 1.1× 50 3.1k
Khalid Al‐Shibli Norway 28 1.3k 1.1× 916 0.8× 1.8k 1.5× 979 1.6× 810 2.2× 44 3.2k
Antonella Argentiero Italy 23 596 0.5× 406 0.4× 794 0.7× 427 0.7× 326 0.9× 48 1.6k
Sean P. Pitroda United States 33 1.1k 0.9× 933 0.8× 1.8k 1.5× 677 1.1× 1.0k 2.8× 94 3.4k
Won Jin Ho United States 18 612 0.5× 629 0.5× 1.3k 1.2× 438 0.7× 340 0.9× 59 2.1k
Ming Lü China 20 812 0.7× 622 0.5× 449 0.4× 553 0.9× 228 0.6× 40 1.7k
Li Zhou China 32 1.5k 1.3× 314 0.3× 905 0.8× 1.0k 1.7× 297 0.8× 118 2.7k
Zachary Boyd United States 14 1.1k 0.9× 1.2k 1.0× 2.3k 2.1× 731 1.2× 650 1.8× 27 3.7k
Joe Stephenson United States 25 894 0.8× 429 0.4× 1.1k 1.0× 360 0.6× 488 1.3× 65 2.0k

Countries citing papers authored by Jirun Peng

Since Specialization
Citations

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

Fields of papers citing papers by Jirun Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jirun Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Jirun Peng. A scholar is included among the top collaborators of Jirun Peng 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 Jirun Peng. Jirun Peng 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.
Luo, Nan, Mengmeng Xiao, Feng Feng, et al.. (2025). Circulating cell-free DNA methylation analysis of pancreatic cancer patients for early noninvasive diagnosis. Frontiers in Oncology. 15. 1552426–1552426. 1 indexed citations
2.
Liu, Dongfang, Chen Li, Nan Luo, et al.. (2024). Multi-omics analysis reveals the landscape of tumor microenvironments in left-sided and right-sided colon cancer. Frontiers in Medicine. 11. 1403171–1403171. 4 indexed citations
3.
Tang, Fei, Jinhu Li, Lu Qi, et al.. (2023). A pan-cancer single-cell panorama of human natural killer cells. Cell. 186(19). 4235–4251.e20. 187 indexed citations breakdown →
4.
Ren, Mingxing, Yunfei Miao, Shi Chen, et al.. (2022). Dual selective sensor for exosomes in serum using magnetic imprinted polymer isolation sandwiched with aptamer/graphene oxide based FRET fluorescent ignition. Biosensors and Bioelectronics. 207. 114112–114112. 53 indexed citations
5.
Liu, Yedan, Qiming Zhang, Baocai Xing, et al.. (2022). Immune phenotypic linkage between colorectal cancer and liver metastasis. Cancer Cell. 40(4). 424–437.e5. 263 indexed citations breakdown →
6.
Liu, Dongfang, Nan Luo, Tingting Liu, et al.. (2021). Key Candidate Prognostic Biomarkers Correlated with Immune Infiltration in Hepatocellular Carcinoma. SHILAP Revista de lepidopterología. Volume 8. 1607–1622. 8 indexed citations
7.
Xiao, Mengmeng, Dexiao Du, Nan Luo, et al.. (2021). DNASE1L3 as a Prognostic Biomarker Associated with Immune Cell Infiltration in Cancer. OncoTargets and Therapy. Volume 14. 2003–2017. 26 indexed citations
8.
Liu, Xiaomeng, Jie Ren, Nan Luo, et al.. (2019). Comprehensive DNA methylation analysis of tissue of origin of plasma cell-free DNA by methylated CpG tandem amplification and sequencing (MCTA-Seq). Clinical Epigenetics. 11(1). 93–93. 52 indexed citations
9.
Yang, Rui, Sijin Cheng, Nan Luo, et al.. (2019). Distinct epigenetic features of tumor-reactive CD8+ T cells in colorectal cancer patients revealed by genome-wide DNA methylation analysis. Genome biology. 21(1). 2–2. 97 indexed citations
11.
Liu, Ningning, Jinfang Zhang, Xiaohai Yang, et al.. (2017). HDM2 Promotes NEDDylation of Hepatitis B Virus HBx To Enhance Its Stability and Function. Journal of Virology. 91(16). 47 indexed citations
12.
Rong, Lijie, Yangyang Bian, Shubai Liu, et al.. (2017). Identifying tumor promoting genomic alterations in tumor-associated fibroblasts via retrovirus-insertional mutagenesis. Oncotarget. 8(57). 97231–97245. 5 indexed citations
14.
Wen, Lu, Jingyi Li, Huahu Guo, et al.. (2015). Genome-scale detection of hypermethylated CpG islands in circulating cell-free DNA of hepatocellular carcinoma patients. Cell Research. 25(11). 1250–1264. 105 indexed citations
15.
Gong, Lei, et al.. (2014). 3-Bromopyruvic Acid, A Hexokinase II Inhibitor, is an Effective Antitumor Agent on the Hepatoma Cells : in vitro and in vivo Findings. Anti-Cancer Agents in Medicinal Chemistry. 14(5). 771–776. 39 indexed citations
16.
Liu, Ningning, Jinfang Zhang, Tong Jiao, et al.. (2013). Hepatitis B Virus Inhibits Apoptosis of Hepatoma Cells by Sponging the MicroRNA 15a/16 Cluster. Journal of Virology. 87(24). 13370–13378. 45 indexed citations
17.
Chen, Pengcheng, Jirun Peng, Wenzhen Wang, et al.. (2013). Overexpression of human telomerase reverse transcriptase promotes the motility and invasiveness of HepG2 cells in vitro. Oncology Reports. 30(3). 1157–1164. 17 indexed citations
18.
Gong, Lei, Hui Han, Limin Guo, et al.. (2011). Simultaneous Measurements of Serum AFP, GPC-3 and HCCR for Diagnosing Hepatocellular Carcinoma. Hepatogastroenterology. 58(110-111). 1718–24. 51 indexed citations
19.
Chen, Lei, Sarwat Fatima, Jirun Peng, & Xi-sheng Leng. (2009). SELDI Protein Chip Technology for the Detection of Serum Biomarkers for Liver Disease. Protein and Peptide Letters. 16(5). 467–472. 14 indexed citations
20.
Li, Tao, et al.. (2006). Effects of 5-hydroxytamine and its antagonists on hepatic stellate cells.. PubMed. 5(1). 96–100. 23 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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