Jin Su

1.6k total citations · 1 hit paper
34 papers, 1.1k citations indexed

About

Jin Su is a scholar working on Molecular Biology, Rheumatology and Immunology. According to data from OpenAlex, Jin Su has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 8 papers in Rheumatology and 6 papers in Immunology. Recurrent topics in Jin Su's work include Osteoarthritis Treatment and Mechanisms (7 papers), Veterinary Equine Medical Research (6 papers) and Tendon Structure and Treatment (4 papers). Jin Su is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (7 papers), Veterinary Equine Medical Research (6 papers) and Tendon Structure and Treatment (4 papers). Jin Su collaborates with scholars based in United States, China and Canada. Jin Su's co-authors include Ray Wü, Yunliu Fan, Baocheng Zhu, Men-Chi Chang, Desh Pal S. Verma, Heidi L. Reesink, Matthew J. Paszek, Yohsuke Harada, K. Venuprasad and Haining Huang and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Nature Materials.

In The Last Decade

Jin Su

32 papers receiving 1.1k citations

Hit Papers

Physical Principles of Membrane Shape Regulation by the G... 2019 2026 2021 2023 2019 50 100 150
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.

  1. Physical Principles of Membrane Shape Regulation by the Glycocalyx
    2019 185 citations Carolyn R. Shurer, Joe Chin‐Hun Kuo et al. Cell profile →

Peers

Jin Su
Xin Bu China
Yuan Xue China
Zhiqiang Mei China
Patrick G. Telmer Canada
Anne Camirand Canada
Susanne Lienhard Switzerland
Qing Sang China
Yadong Zhang China
Xin Bu China
Jin Su
Citations per year, relative to Jin Su Jin Su (= 1×) peers Xin Bu

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.
2.
Park, Sangwoo, Marshall J. Colville, Carolyn R. Shurer, et al.. (2024). Immunoengineering can overcome the glycocalyx armour of cancer cells. Nature Materials. 23(3). 429–438. 20 indexed citations
3.
Mao, Xinyuan, Lingzhi Wang, Zhian Chen, et al.. (2024). SCD1 promotes the stemness of gastric cancer stem cells by inhibiting ferroptosis through the SQLE/cholesterol/mTOR signalling pathway. International Journal of Biological Macromolecules. 275(Pt 2). 133698–133698. 10 indexed citations
4.
Su, Jin, Siyu Deng, Rose T. Yin, et al.. (2021). Hyaluronic acid synthesis, degradation, and crosslinking in equine osteoarthritis: TNF-α-TSG-6-mediated HC-HA formation. Arthritis Research & Therapy. 23(1). 218–218. 17 indexed citations
5.
Stefanovski, Darko, Heather Freer, Alicia Rollins, et al.. (2021). Investigation of synovial fluid lubricants and inflammatory cytokines in the horse: a comparison of recombinant equine interleukin 1 beta-induced synovitis and joint lavage models. BMC Veterinary Research. 17(1). 189–189. 18 indexed citations
6.
Wang, Yuyan, David W. Gludish, Kei Hayashi, et al.. (2020). Synovial fluid lubricin increases in spontaneous canine cruciate ligament rupture. Scientific Reports. 10(1). 16725–16725. 10 indexed citations
7.
Shurer, Carolyn R., Elizabeth Feeney, Jin Su, et al.. (2019). Stable recombinant production of codon‐scrambled lubricin and mucin in human cells. Biotechnology and Bioengineering. 116(6). 1292–1303. 14 indexed citations
8.
Shurer, Carolyn R., Joe Chin‐Hun Kuo, LaDeidra Monét Roberts, et al.. (2019). Physical Principles of Membrane Shape Regulation by the Glycocalyx. Cell. 177(7). 1757–1770.e21. 185 indexed citations breakdown →
9.
Yin, Rose T., Jin Su, Marshall J. Colville, Matthew J. Paszek, & Heidi L. Reesink. (2019). Synovial fluid microrheology to identify potential candidates for viscosupplementation. Osteoarthritis and Cartilage. 27. S481–S481. 1 indexed citations
10.
11.
Su, Jin, Xiuli Wang, & Li Geng. (2017). [Preparation and in vivo study of liposomes mediated by glycyrrhetinic acid derivative ligand 18-GA-Gly].. PubMed. 42(21). 4120–4126. 3 indexed citations
12.
Reesink, Heidi L., Ryan Sutton, Carolyn R. Shurer, et al.. (2017). Galectin-1 and galectin-3 expression in equine mesenchymal stromal cells (MSCs), synovial fibroblasts and chondrocytes, and the effect of inflammation on MSC motility. Stem Cell Research & Therapy. 8(1). 243–243. 37 indexed citations
13.
Zhang, Yan, Jin Su, Yue Teng, et al.. (2015). Nrp1, a Neuronal Regulator, Enhances DDR2-ERK-Runx2 Cascade in Osteoblast Differentiation via Suppression of DDR2 Degradation. Cellular Physiology and Biochemistry. 36(1). 75–84. 15 indexed citations
14.
Zhao, Hu, Xiaofeng Lai, Xinyuan Xu, et al.. (2015). Histochemical analysis of testis specific gene 13 in human normal and malignant tissues. Cell and Tissue Research. 362(3). 653–663. 1 indexed citations
15.
Su, Jin, Oliver Lung, & Gary W. Blissard. (2011). The Autographa californica multiple nucleopolyhedrovirus lef-5 gene is required for productive infection. Virology. 416(1-2). 54–64. 13 indexed citations
16.
Hu, Jinsong, Xinping Liu, Xia Li, et al.. (2009). CD167 Acts as a Novel Costimulatory Receptor in T-Cell Activation. Journal of Immunotherapy. 32(8). 773–784. 9 indexed citations
17.
Venuprasad, K., Haining Huang, Yohsuke Harada, et al.. (2008). The E3 ubiquitin ligase Itch regulates expression of transcription factor Foxp3 and airway inflammation by enhancing the function of transcription factor TIEG1. Nature Immunology. 9(3). 245–253. 144 indexed citations
18.
Zhang, Jian, Fuyang Li, Xinping Liu, et al.. (2006). The Repression of Human Differentiation-related Gene NDRG2 Expression by Myc via Miz-1-dependent Interaction with the NDRG2 Core Promoter. Journal of Biological Chemistry. 281(51). 39159–39168. 79 indexed citations
19.
Su, Jin, et al.. (2006). Evaluation of the stress-inducible production of choline oxidase in transgenic rice as a strategy for producing the stress-protectant glycine betaine. Journal of Experimental Botany. 57(5). 1129–1135. 98 indexed citations
20.
Su, Jin, et al.. (2002). Expression analysis of rice bar gene mediated matrix attachment region (MAR) sequence transformed by a gene bombardment. 10(3). 227–230. 1 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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