Zhiyue Su

896 total citations · 1 hit paper
9 papers, 681 citations indexed

About

Zhiyue Su is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Zhiyue Su has authored 9 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Zhiyue Su's work include Cancer-related molecular mechanisms research (5 papers), Circular RNAs in diseases (3 papers) and MicroRNA in disease regulation (2 papers). Zhiyue Su is often cited by papers focused on Cancer-related molecular mechanisms research (5 papers), Circular RNAs in diseases (3 papers) and MicroRNA in disease regulation (2 papers). Zhiyue Su collaborates with scholars based in China. Zhiyue Su's co-authors include Zhe Lei, Shengjie Wang, Hongtao Zhang, Cuijuan Zhang, Zeyi Liu, Xin Tong, Jun Zhao, Xia Liu, Guangquan Xu and Longqiang Wang and has published in prestigious journals such as Advanced Materials, ACS Nano and Oncogene.

In The Last Decade

Zhiyue Su

9 papers receiving 678 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Polymeric Hydrogel to Eliminate Programmed Death-Ligand 1 for Enhanced Tumor Radio-Immunotherapy

2023 122 citations Wenhao Shen, Pei Pei et al. ACS Nano profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhiyue Su China	9	515	438	84	51	51	9	681
Daisuke Kurioka Japan	4	631 1.2×	577 1.3×	59 0.7×	37 0.7×	66 1.3×	4	771
Sichong Han China	10	540 1.0×	468 1.1×	47 0.6×	35 0.7×	70 1.4×	15	664
Guang‐Bin Sun China	11	371 0.7×	212 0.5×	99 1.2×	46 0.9×	52 1.0×	25	534
Qiang Peng China	11	396 0.8×	269 0.6×	59 0.7×	107 2.1×	47 0.9×	37	539
Bo Liang China	11	292 0.6×	218 0.5×	88 1.0×	34 0.7×	38 0.7×	21	470
Yongxin Zhou China	12	801 1.6×	552 1.3×	124 1.5×	81 1.6×	39 0.8×	23	975
Hansi Liang China	14	362 0.7×	250 0.6×	61 0.7×	78 1.5×	49 1.0×	24	610
Yongchun Yu China	12	515 1.0×	387 0.9×	86 1.0×	140 2.7×	83 1.6×	18	721
Xiaode Feng China	12	642 1.2×	478 1.1×	104 1.2×	114 2.2×	63 1.2×	17	851

Countries citing papers authored by Zhiyue Su

Since Specialization

Citations

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

Fields of papers citing papers by Zhiyue Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhiyue Su

This figure shows the co-authorship network connecting the top 25 collaborators of Zhiyue Su. A scholar is included among the top collaborators of Zhiyue 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 Zhiyue Su. Zhiyue Su 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:

9 of 9 papers shown

1.

Su, Zhiyue, Wenshu Li, Zhe Lei, et al.. (2024). Regulation of Angiogenesis by Non-Coding RNAs in Cancer. Biomolecules. 14(1). 60–60. 8 indexed citations

2.

Li, Junmei, Yuhong Wang, Wenhao Shen, et al.. (2024). Mitochondria‐Modulating Liposomes Reverse Radio‐Resistance for Colorectal Cancer. Advanced Science. 11(18). e2400845–e2400845. 12 indexed citations

3.

Peng, Fei, et al.. (2024). Intratumoral Microbiota as a Target for Advanced Cancer Therapeutics. Advanced Materials. 36(38). e2405331–e2405331. 23 indexed citations

4.

Shen, Wenhao, Pei Pei, Junmei Li, et al.. (2023). A Polymeric Hydrogel to Eliminate Programmed Death-Ligand 1 for Enhanced Tumor Radio-Immunotherapy. ACS Nano. 17(23). 23998–24011. 122 indexed citations breakdown →

5.

Su, Zhiyue, Zhao Wang, Shengjie Wang, et al.. (2022). TIF1γ inhibits lung adenocarcinoma EMT and metastasis by interacting with the TAF15/TBP complex. Cell Reports. 41(3). 111513–111513. 15 indexed citations

6.

Wang, Shengjie, Xin Tong, Chang Li, et al.. (2021). Quaking 5 suppresses TGF‐β‐induced EMT and cell invasion in lung adenocarcinoma. EMBO Reports. 22(6). e52079–e52079. 37 indexed citations

7.

Tong, Xin, Shengjie Wang, Zhe Lei, et al.. (2020). MYOCD and SMAD3/SMAD4 form a positive feedback loop and drive TGF-β-induced epithelial–mesenchymal transition in non-small cell lung cancer. Oncogene. 39(14). 2890–2904. 39 indexed citations

8.

Li, Chang, Liang Wan, Zeyi Liu, et al.. (2018). Long non-coding RNA XIST promotes TGF-β-induced epithelial-mesenchymal transition by regulating miR-367/141-ZEB2 axis in non-small-cell lung cancer. Cancer Letters. 418. 185–195. 148 indexed citations

9.

Wang, Longqiang, Xin Tong, Zhengyu Zhou, et al.. (2018). Circular RNA hsa_circ_0008305 (circPTK2) inhibits TGF-β-induced epithelial-mesenchymal transition and metastasis by controlling TIF1γ in non-small cell lung cancer. Molecular Cancer. 17(1). 140–140. 277 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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