Yinghan Su

407 total citations
11 papers, 305 citations indexed

About

Yinghan Su is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Yinghan Su has authored 11 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Yinghan Su's work include Virus-based gene therapy research (3 papers), Cancer-related molecular mechanisms research (3 papers) and CAR-T cell therapy research (2 papers). Yinghan Su is often cited by papers focused on Virus-based gene therapy research (3 papers), Cancer-related molecular mechanisms research (3 papers) and CAR-T cell therapy research (2 papers). Yinghan Su collaborates with scholars based in China and United Kingdom. Yinghan Su's co-authors include Changqing Su, Weidan Ji, Lun–Xiu Qin, Bin Sun, Xiaoya Li, Mengchao Wu, Beiyuan Hu, Ze Zhang, Yang Xu and Le Zhu and has published in prestigious journals such as Cancer Research, Cancer Letters and Signal Transduction and Targeted Therapy.

In The Last Decade

Yinghan Su

9 papers receiving 302 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yinghan Su China 9 204 136 71 42 41 11 305
Clarissa Patrizi Italy 6 328 1.6× 234 1.7× 32 0.5× 53 1.3× 33 0.8× 8 445
Jiancong Sun China 10 214 1.0× 160 1.2× 65 0.9× 28 0.7× 14 0.3× 12 340
Kuen‐Tyng Lin Taiwan 8 212 1.0× 105 0.8× 80 1.1× 13 0.3× 31 0.8× 11 310
Renate Schwab Australia 9 193 0.9× 45 0.3× 79 1.1× 36 0.9× 49 1.2× 16 358
Vaishnavi Sambandam United States 9 194 1.0× 66 0.5× 132 1.9× 21 0.5× 17 0.4× 14 327
Nerea Matamala Spain 8 272 1.3× 210 1.5× 71 1.0× 37 0.9× 23 0.6× 17 391
Bastiaan van der Roest Netherlands 5 191 0.9× 141 1.0× 97 1.4× 10 0.2× 46 1.1× 7 341
Chi‐Hung Lin Taiwan 8 217 1.1× 130 1.0× 63 0.9× 13 0.3× 51 1.2× 12 344
Andreas Ziesch Germany 9 212 1.0× 50 0.4× 166 2.3× 40 1.0× 15 0.4× 14 332
Ian Lai United States 6 165 0.8× 73 0.5× 84 1.2× 19 0.5× 25 0.6× 9 260

Countries citing papers authored by Yinghan Su

Since Specialization
Citations

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

Fields of papers citing papers by Yinghan Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yinghan Su

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

All Works

11 of 11 papers shown
1.
Xu, Hao, Sun‐Zhe Xie, Yinghan Su, et al.. (2025). Comparison of 11C‐Acetate and 18FFDG PET/CT for Immune Infiltration and Prognosis in Hepatocellular Carcinoma. Cancer Science. 116(4). 990–1003.
2.
Li, Ying, Dongdong Wang, Wei Du, et al.. (2025). Transforming acidic coiled-coil-containing protein 3-mediated lipid metabolism reprogramming impairs CD8+ T-cell cytotoxicity in hepatocellular carcinoma. Signal Transduction and Targeted Therapy. 10(1). 274–274.
3.
Hu, Beiyuan, Tiantian Zou, Wei Qin, et al.. (2022). Inhibition of EGFR Overcomes Acquired Lenvatinib Resistance Driven by STAT3–ABCB1 Signaling in Hepatocellular Carcinoma. Cancer Research. 82(20). 3845–3857. 104 indexed citations
4.
Zhao, Jing, Yinghan Su, Junjie Pan, et al.. (2022). Emerging Regulatory Mechanisms of N6-Methyladenosine Modification in Cancer Metastasis. PubMed. 3(1). 83–100. 20 indexed citations
5.
Su, Yinghan, Changqing Su, & Lun–Xiu Qin. (2022). Current landscape and perspective of oncolytic viruses and their combination therapies. Translational Oncology. 25. 101530–101530. 20 indexed citations
6.
Su, Yinghan, Jiang Li, Weidan Ji, et al.. (2022). Triple-serotype chimeric oncolytic adenovirus exerts multiple synergistic mechanisms against solid tumors. Journal for ImmunoTherapy of Cancer. 10(5). e004691–e004691. 14 indexed citations
7.
Li, Xiaoya, Yinghan Su, Bin Sun, et al.. (2016). An Artificially Designed Interfering lncRNA Expressed by Oncolytic Adenovirus Competitively Consumes OncomiRs to Exert Antitumor Efficacy in Hepatocellular Carcinoma. Molecular Cancer Therapeutics. 15(7). 1436–1451. 40 indexed citations
8.
9.
Li, Zhigang, Xinxin Li, Chunguang Li, et al.. (2014). Transcription factor OCT4 promotes cell cycle progression by regulating CCND1 expression in esophageal carcinoma. Cancer Letters. 354(1). 77–86. 31 indexed citations
10.
Ji, Weidan, Yinghan Su, Yang Xu, et al.. (2014). Sulfatase 1 (hSulf-1) reverses basic fibroblast growth factor-stimulated signaling and inhibits growth of hepatocellular carcinoma in animal model. Oncotarget. 5(13). 5029–5039. 17 indexed citations
11.
Su, Yinghan, Xiaoya Li, Weidan Ji, et al.. (2013). Small molecule with big role: MicroRNAs in cancer metastatic microenvironments. Cancer Letters. 344(2). 147–156. 39 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026