Jingna Su

498 total citations
18 papers, 423 citations indexed

About

Jingna Su is a scholar working on Molecular Biology, Cell Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Jingna Su has authored 18 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Jingna Su's work include Curcumin's Biomedical Applications (3 papers), Cancer Mechanisms and Therapy (2 papers) and Microtubule and mitosis dynamics (2 papers). Jingna Su is often cited by papers focused on Curcumin's Biomedical Applications (3 papers), Cancer Mechanisms and Therapy (2 papers) and Microtubule and mitosis dynamics (2 papers). Jingna Su collaborates with scholars based in China and United States. Jingna Su's co-authors include Xuyuan Yin, Xiuxia Zhou, Zhiwei Wang, Lixia Wang, Xiantao Ye, Yingying Hou, Zhe Zhao, Nana Zheng, Jun Xia and Shaoyan Feng and has published in prestigious journals such as Biochemical Pharmacology, Applied Surface Science and Composites Part A Applied Science and Manufacturing.

In The Last Decade

Jingna Su

17 papers receiving 421 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingna Su China 11 285 85 84 69 62 18 423
Poulami Khan India 11 334 1.2× 210 2.5× 143 1.7× 38 0.6× 33 0.5× 15 542
Jingwen Huang China 9 191 0.7× 108 1.3× 81 1.0× 21 0.3× 20 0.3× 18 427
Yuxi Zhang China 11 181 0.6× 38 0.4× 34 0.4× 72 1.0× 17 0.3× 19 357
Baozhen Zeng China 11 246 0.9× 201 2.4× 78 0.9× 33 0.5× 13 0.2× 36 617
Pasupathi Sundaramoorthy United States 13 209 0.7× 66 0.8× 42 0.5× 33 0.5× 51 0.8× 17 445
Evangelia Sereti Greece 10 150 0.5× 68 0.8× 42 0.5× 36 0.5× 14 0.2× 14 327
Venugopal Chenna United States 11 554 1.9× 171 2.0× 157 1.9× 135 2.0× 14 0.2× 14 804
Daiju Ichikawa Japan 14 196 0.7× 62 0.7× 47 0.6× 41 0.6× 13 0.2× 35 494
S. Neslihan Alpay United States 6 308 1.1× 70 0.8× 84 1.0× 12 0.2× 34 0.5× 7 438
Arkadiusz Gajek Poland 16 360 1.3× 240 2.8× 62 0.7× 8 0.1× 49 0.8× 35 569

Countries citing papers authored by Jingna Su

Since Specialization
Citations

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

Fields of papers citing papers by Jingna Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingna Su

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

All Works

18 of 18 papers shown
1.
Su, Jingna, Qiuyu Li, Wei Tan, et al.. (2025). Hierarchical porous carbon nanofibers for green electromagnetic interference shielding. Applied Materials Today. 42. 102565–102565. 4 indexed citations
2.
Yao, Di, et al.. (2024). Association of maternal 25(OH)D levels during pregnancy with fetal birth weight and preschooler growth status: A retrospective birth cohort study. Journal of obstetrics and gynaecology research. 51(1). e16143–e16143.
3.
Tan, Wei, Jingna Su, Chunlong Zuo, et al.. (2024). Mussel-inspired biomimetic surface functionalization strategy for the preparation of flame retardant, UV-resistant and mechanical-enhanced lyocell fabrics. Applied Surface Science. 655. 159648–159648. 13 indexed citations
4.
Tan, Wei, et al.. (2023). Phosphonitrile-modified biomass multi-crosslinking strategy: Construction of flame retardant, smoke suppressive and antibacterial polyvinyl alcohol composites. Composites Part A Applied Science and Manufacturing. 177. 107897–107897. 20 indexed citations
5.
Li, Lei, et al.. (2021). Highly aligned PAN nanofiber bundles prepared via a novel Venturi tube high-speed airflow drafting (VAD) method. Materials Letters. 302. 130383–130383. 1 indexed citations
6.
Yang, Lan, et al.. (2020). Association between fetal chromosomal abnormalities and the frequency of spontaneous abortions. Experimental and Therapeutic Medicine. 19(4). 2505–2510. 8 indexed citations
7.
Su, Jingna, Xiuxia Zhou, Xuyuan Yin, et al.. (2017). The effects of curcumin on proliferation, apoptosis, invasion, and NEDD4 expression in pancreatic cancer. Biochemical Pharmacology. 140. 28–40. 47 indexed citations
8.
Wang, Lixia, Jingna Su, Zhe Zhao, et al.. (2017). MiR-26b reverses temozolomide resistance via targeting Wee1 in glioma cells. Cell Cycle. 16(20). 1954–1964. 25 indexed citations
9.
Hou, Yingying, Shaoyan Feng, Lixia Wang, et al.. (2017). Inhibition of Notch-1 pathway is involved in rottlerin-induced tumor suppressive function in nasopharyngeal carcinoma cells. Oncotarget. 8(37). 62120–62130. 8 indexed citations
10.
Su, Jingna, Xiuxia Zhou, Lixia Wang, Xuyuan Yin, & Zhiwei Wang. (2016). Curcumin inhibits cell growth and invasion and induces apoptosis through down-regulation of Skp2 in pancreatic cancer cells.. PubMed. 6(9). 1949–1962. 51 indexed citations
11.
Wang, Lixia, Yingying Hou, Xuyuan Yin, et al.. (2016). Rottlerin inhibits cell growth and invasion via down-regulation of Cdc20 in glioma cells. Oncotarget. 7(43). 69770–69782. 35 indexed citations
12.
Zhou, Xiuxia, Jingna Su, Shaoyan Feng, et al.. (2016). Antitumor activity of curcumin is involved in down-regulation of YAP/TAZ expression in pancreatic cancer cells. Oncotarget. 7(48). 79076–79088. 51 indexed citations
13.
Yin, Xuyuan, Yu Zhang, Jingna Su, et al.. (2016). Rottlerin exerts its anti-tumor activity through inhibition of Skp2 in breast cancer cells. Oncotarget. 7(41). 66512–66524. 26 indexed citations
14.
Su, Jingna, Lixia Wang, Xuyuan Yin, et al.. (2016). Rottlerin exhibits anti-cancer effect through inactivation of S phase kinase-associated protein 2 in pancreatic cancer cells.. PubMed. 6(10). 2178–2191. 33 indexed citations
15.
Wang, Lixia, Bo Long, Xiantao Ye, et al.. (2015). Arsenic Trioxide Inhibits Cell Growth and Invasion via Down-Regulation of Skp2 in Pancreatic Cancer Cells. Asian Pacific Journal of Cancer Prevention. 16(9). 3805–3810. 24 indexed citations
16.
Yin, Xuyuan, et al.. (2015). K-ras-driven engineered mouse models for pancreatic cancer.. PubMed. 19(102). 15–21. 4 indexed citations
17.
Su, Jingna, Xuyuan Yin, Xiuxia Zhou, Wenyi Wei, & Zhiwei Wang. (2015). The Functions of F-box Proteins in Regulating the Epithelial to Mesenchymal Transition. Current Pharmaceutical Design. 21(10). 1311–1317. 7 indexed citations
18.
Wang, Lixia, Xiantao Ye, Jingna Su, et al.. (2015). Curcumin suppresses cell growth and invasion and induces apoptosis by down-regulation of Skp2 pathway in glioma cells. Oncotarget. 6(20). 18027–18037. 66 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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