Yunbin Ye

1.0k total citations
56 papers, 751 citations indexed

About

Yunbin Ye is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Yunbin Ye has authored 56 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Oncology, 23 papers in Immunology and 22 papers in Molecular Biology. Recurrent topics in Yunbin Ye's work include Immune Cell Function and Interaction (15 papers), Cancer Immunotherapy and Biomarkers (12 papers) and Immunotherapy and Immune Responses (11 papers). Yunbin Ye is often cited by papers focused on Immune Cell Function and Interaction (15 papers), Cancer Immunotherapy and Biomarkers (12 papers) and Immunotherapy and Immune Responses (11 papers). Yunbin Ye collaborates with scholars based in China, Hong Kong and United States. Yunbin Ye's co-authors include Wansong Lin, Jieyu Li, Chuanzhong Huang, Mingshui Chen, Zhifeng Zhou, Jianji Pan, Jingfeng Zong, Yuanji Xu, Honglin Chen and Cheng Lin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Scientific Reports.

In The Last Decade

Yunbin Ye

54 papers receiving 748 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yunbin Ye China 17 401 280 250 219 65 56 751
Johanna Tuomela Finland 19 537 1.3× 327 1.2× 179 0.7× 188 0.9× 61 0.9× 49 984
Yanjie He China 16 384 1.0× 317 1.1× 90 0.4× 270 1.2× 108 1.7× 47 816
Miriam Redrado Spain 20 544 1.4× 518 1.9× 270 1.1× 233 1.1× 65 1.0× 39 1.1k
Zhiwang Song China 15 473 1.2× 226 0.8× 303 1.2× 132 0.6× 63 1.0× 23 762
Chengsheng Wu Canada 17 463 1.2× 361 1.3× 172 0.7× 241 1.1× 44 0.7× 25 837
Seon Ye Kim South Korea 11 514 1.3× 326 1.2× 264 1.1× 229 1.0× 49 0.8× 12 798
Denisa Dragu Romania 12 439 1.1× 289 1.0× 283 1.1× 94 0.4× 52 0.8× 20 850
Sahar Safaei Iran 15 349 0.9× 287 1.0× 185 0.7× 186 0.8× 98 1.5× 31 722
Takehiro Nohara Japan 11 351 0.9× 389 1.4× 156 0.6× 192 0.9× 41 0.6× 25 784
Abhijit Aithal United States 12 428 1.1× 372 1.3× 163 0.7× 218 1.0× 77 1.2× 23 809

Countries citing papers authored by Yunbin Ye

Since Specialization
Citations

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

Fields of papers citing papers by Yunbin Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunbin Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Yunbin Ye. A scholar is included among the top collaborators of Yunbin Ye 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 Yunbin Ye. Yunbin Ye 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.
Huang, Chuanzhong, Ling Wang, Changhua Zhuo, et al.. (2025). ID3 enhances PD-L1 expression by restructuring MYC to promote colorectal cancer immune evasion. Proceedings of the National Academy of Sciences. 122(15). e2423490122–e2423490122. 1 indexed citations
2.
Liu, Fang, Hua Chen, Chenlu Zhu, et al.. (2025). Neoepitope BTLAP267L-specific TCR-T cell immunotherapy unlocks precision treatment for hepatocellular carcinoma. Cancer Biology and Medicine. 22(4). 1–21.
3.
Wang, Ling, Chuanzhong Huang, Wansong Lin, et al.. (2024). EIF3B affects the invasion and metastasis of hepatocellular carcinoma cells via the TGFBI/MAPK/ERK pathway. Annals of Hepatology. 30(1). 101564–101564. 3 indexed citations
4.
Zhu, Chenlu, Fang Liu, Wansong Lin, et al.. (2024). BCL2A1 neoepitope–elicited cytotoxic T lymphocytes are a promising individualized immunotherapy of pancreatic cancer. Journal of Leukocyte Biology. 116(3). 601–610. 1 indexed citations
5.
Wang, Zinan, Yong Zhang, Bei Li, et al.. (2024). Targeting Nuclear Receptor Coactivator SRC‐1 Prevents Colorectal Cancer Immune Escape by Reducing Transcription and Protein Stability of PD‐L1. Advanced Science. 11(33). e2310037–e2310037. 10 indexed citations
6.
Liu, Fang, Shuping Chen, Zhifeng Zhou, et al.. (2023). Altered HLA‐A2‐restricted TP53 epitope induces specific CTL cytotoxicity against hepatocellular carcinoma. European Journal of Immunology. 53(5). e2250054–e2250054. 5 indexed citations
7.
Lin, Wansong, Jie Lin, Jieyu Li, et al.. (2022). Kindlin-2–miR-1258–TCF4 feedback loop promotes hepatocellular carcinoma invasion and metastasis. Journal of Gastroenterology. 57(5). 372–386. 9 indexed citations
8.
Zhou, Zhifeng, et al.. (2022). Altered MUC1 epitope-specific CTLs: A potential target for immunotherapy of pancreatic cancer. Journal of Leukocyte Biology. 112(6). 1577–1590. 4 indexed citations
9.
Lin, Cheng, et al.. (2022). RNF38 suppress growth and metastasis via ubiquitination of ACTN4 in nasopharyngeal carcinoma. BMC Cancer. 22(1). 549–549. 4 indexed citations
10.
11.
Yu, Huahui, Jieyu Li, Yuan Yuan, et al.. (2021). Residue substitution enhances the immunogenicity of neoepitopes from gastric cancers. Cancer Biology and Medicine. 18(-). 0–0. 2 indexed citations
12.
Zhou, Zhifeng, Shuoyan Liu, Feng Wang, et al.. (2020). CircRNA_102179 promotes the proliferation, migration and invasion in non-small cell lung cancer cells by regulating miR-330-5p/HMGB3 axis. Pathology - Research and Practice. 216(11). 153144–153144. 18 indexed citations
13.
Li, Jieyu, et al.. (2020). Dual-target IL-12-containing nanoparticles enhance T cell functions for cancer immunotherapy. Cellular Immunology. 349. 104042–104042. 51 indexed citations
14.
Song, Won‐Min, Xiandong Lin, Xuehong Liao, et al.. (2019). Multiscale network analysis reveals molecular mechanisms and key regulators of the tumor microenvironment in gastric cancer. International Journal of Cancer. 146(5). 1268–1280. 16 indexed citations
15.
Huang, Chuanzhong, et al.. (2018). Somatostatin Octapeptide Inhibits Cell Invasion and Metastasis in Hepatocellular Carcinoma Through PEBP1. Cellular Physiology and Biochemistry. 47(6). 2340–2349. 7 indexed citations
16.
Chen, Yu, Jing Lin, Yunbin Ye, et al.. (2015). Combined Analysis of EGFR and PTEN Status in Patients With KRAS Wild-Type Metastatic Colorectal Cancer. Medicine. 94(40). e1698–e1698. 5 indexed citations
17.
Lin, Wansong, Chuanzhong Huang, Jieyu Li, et al.. (2014). Inhibitor of DNA-binding protein 1 knockdown arrests the growth of colorectal cancer cells and suppresses hepatic metastasis in vivo. Oncology Reports. 32(1). 79–88. 17 indexed citations
18.
Chen, Qiang, et al.. (2010). Study on the immune and anti-tumor responses of CTL cells generated from Survivin-derived epitopes. Zhongguo mianyixue zazhi. 26(8). 693–698. 1 indexed citations
19.
Li, Xiaofeng, Qiang Chen, Weixian Huang, & Yunbin Ye. (2008). Response to sorafenib in cisplatin-resistant thymic carcinoma: a case report. Medical Oncology. 26(2). 157–160. 44 indexed citations
20.
Ye, Yunbin, Jianyin Lin, Qiang Chen, et al.. (2008). The cytotoxicity of a Grb2-SH3 inhibitor in Bcr-Abl positive K562 cells. Biochemical Pharmacology. 75(11). 2080–2091. 16 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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