Jin Su

1.1k total citations
46 papers, 830 citations indexed

About

Jin Su is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Jin Su has authored 46 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 12 papers in Cardiology and Cardiovascular Medicine and 8 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Jin Su's work include Fatty Acid Research and Health (5 papers), Renin-Angiotensin System Studies (5 papers) and Nutritional Studies and Diet (4 papers). Jin Su is often cited by papers focused on Fatty Acid Research and Health (5 papers), Renin-Angiotensin System Studies (5 papers) and Nutritional Studies and Diet (4 papers). Jin Su collaborates with scholars based in China, United States and Singapore. Jin Su's co-authors include Choon Nam Ong, Katsuo Kanmatsuse, Noboru Fukuda, Rob M. van Dam, Woon‐Puay Koh, Yimu Lai, Ryo Suzuki, Yoshiko Tahira, Yukihiro Ikeda and Chunming Jiang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Virology.

In The Last Decade

Jin Su

43 papers receiving 820 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jin Su China 19 354 188 155 110 109 46 830
Fuqiang Liu China 17 224 0.6× 85 0.5× 218 1.4× 86 0.8× 79 0.7× 82 786
Aleš Hořínek Czechia 22 510 1.4× 322 1.7× 95 0.6× 137 1.2× 155 1.4× 63 1.2k
Peipei Lu China 18 408 1.2× 141 0.8× 101 0.7× 217 2.0× 89 0.8× 77 1.1k
Judy Wu United States 13 447 1.3× 125 0.7× 59 0.4× 119 1.1× 47 0.4× 15 906
Jingyi Chen China 17 287 0.8× 102 0.5× 71 0.5× 196 1.8× 49 0.4× 64 906
Jiahua Li China 16 312 0.9× 78 0.4× 56 0.4× 82 0.7× 123 1.1× 81 1.0k
Ying Meng China 24 721 2.0× 163 0.9× 203 1.3× 357 3.2× 127 1.2× 76 1.7k
Mehdi Rasouli Iran 20 168 0.5× 50 0.3× 186 1.2× 163 1.5× 168 1.5× 41 919
Jason Harris United States 11 295 0.8× 46 0.2× 123 0.8× 45 0.4× 82 0.8× 32 723
Esther Civantos Spain 11 297 0.8× 71 0.4× 43 0.3× 66 0.6× 49 0.4× 16 839

Countries citing papers authored by Jin Su

Since Specialization
Citations

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

Fields of papers citing papers by Jin Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Su

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Su. A scholar is included among the top collaborators of Jin 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 Jin Su. Jin Su 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.
Yang, Yi, Li Yang, Haiyi Deng, et al.. (2025). Coptis chinensis-derived extracellular vesicle-like nanoparticles delivered miRNA-5106 suppresses NETs by restoring zinc homeostasis to alleviate colitis. Journal of Nanobiotechnology. 23(1). 444–444. 5 indexed citations
2.
Luo, Siqi, et al.. (2024). Advances in Studying the Pathologic Mechanisms and Treatment Strategies of Transthyretin Amyloidosis. Journal of Cardiovascular Pharmacology. 85(3). 186–193.
3.
4.
Su, Jin, Jinxiu Lin, Qiang Zhou, et al.. (2022). Effectiveness and safety of non-vitamin K antagonist oral anticoagulants in patients with hypertrophic cardiomyopathy with non-valvular atrial fibrillation. Heart and Vessels. 37(7). 1224–1231. 10 indexed citations
5.
Li, Minyan, Yang Xiao, Xiaoxia Zhao, et al.. (2022). Effect of Exercise Prescription Implementation Rate on Cardiovascular Events. Frontiers in Cardiovascular Medicine. 8. 753672–753672. 4 indexed citations
6.
Cai, Wenqin, et al.. (2021). Effects of renal denervation on the expression profile of circular RNA in the serum of patients with resistant hypertension. Hellenic Journal of Cardiology. 63. 66–74. 4 indexed citations
7.
Shurer, Carolyn R., Samuel Schmidt, Jin Su, et al.. (2020). The surface stress of biomedical silicones is a stimulant of cellular response. Science Advances. 6(15). eaay0076–eaay0076. 25 indexed citations
8.
Shi, Fan, et al.. (2019). <p>LncRNA miR143HG Up-Regulates p53 In Endometrial Carcinoma By Sponging miR-125a</p>. Cancer Management and Research. Volume 11. 10117–10123. 17 indexed citations
9.
Su, Jin, et al.. (2019). Osthole promotes the suppressive effects of cisplatin on NRF2 expression to prevent drug-resistant cervical cancer progression. Biochemical and Biophysical Research Communications. 514(2). 510–517. 36 indexed citations
10.
Jiang, Chunming, Fang Shen, Xiang Fang, et al.. (2017). Upregulation of CASC2 sensitized glioma to temozolomide cytotoxicity through autophagy inhibition by sponging miR-193a-5p and regulating mTOR expression. Biomedicine & Pharmacotherapy. 97. 844–850. 86 indexed citations
11.
Liu, Yu, Jin Su, Rob M. van Dam, et al.. (2016). Dietary predictors and plasma concentrations of perfluorinated alkyl acids in a Singapore population. Chemosphere. 171. 617–624. 33 indexed citations
12.
Sun, Ye, Hiromi W.L. Koh, Hyungwon Choi, et al.. (2016). Plasma fatty acids, oxylipins, and risk of myocardial infarction: the Singapore Chinese Health Study. Journal of Lipid Research. 57(7). 1300–1307. 41 indexed citations
13.
Sun, Ye, Woon‐Puay Koh, Jian‐Min Yuan, et al.. (2015). Plasma α-Linolenic and Long-Chain ω-3 Fatty Acids Are Associated with a Lower Risk of Acute Myocardial Infarction in Singapore Chinese Adults. Journal of Nutrition. 146(2). 275–282. 14 indexed citations
14.
Peng, Feng, Jin Su, Jinxiu Lin, & Wenquan Niu. (2014). Impact of Renin-Angiotensin-Aldosterone System-blocking Agents on the Risk of Contrast-induced Acute Kidney Injury. Journal of Cardiovascular Pharmacology. 65(3). 262–268. 16 indexed citations
15.
Zhang, Wenli, Nan Jia, Jin Su, et al.. (2014). The Comparison between Robotic and Manual Ablations in the Treatment of Atrial Fibrillation: A Systematic Review and Meta-Analysis. PLoS ONE. 9(5). e96331–e96331. 3 indexed citations
16.
17.
Lai, Yimu, Noboru Fukuda, Jin Su, et al.. (2002). Novel Mechanisms of the Antiproliferative Effects of Amlodipine in Vascular Smooth Muscle Cells from Spontaneously Hypertensive Rats. Hypertension Research. 25(1). 109–115. 29 indexed citations
18.
Su, Jin, Noboru Fukuda, Hirobumi Kishioka, Wen-Yang Hu, & Katsuo Kanmatsuse. (2002). ETIDRONATE INFLUENCES GROWTH AND PHENOTYPE OF RAT VASCULAR SMOOTH MUSCLE CELLS. Pharmacological Research. 46(1). 7–13. 6 indexed citations
19.
Hu, Wen-Yang, Noboru Fukuda, Jin Su, & Katsuo Kanmatsuse. (2001). Effects of the L- and N-Type Calcium Channel Blocker Cilnidipine on Growth of Vascular Smooth Muscle Cells from Spontaneously Hypertensive Rats. Journal of Cardiovascular Pharmacology. 38(3). 450–459. 6 indexed citations
20.
Su, Jin, Noboru Fukuda, Wen-Yang Hu, & Katsuo Kanmatsuse. (2000). Ribozyme to Human TGF-β1 mRNA Inhibits the Proliferation of Human Vascular Smooth Muscle Cells. Biochemical and Biophysical Research Communications. 278(2). 401–407. 13 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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