Ling Su

4.0k total citations · 1 hit paper
105 papers, 3.0k citations indexed

About

Ling Su is a scholar working on Molecular Biology, Cell Biology and Mechanics of Materials. According to data from OpenAlex, Ling Su has authored 105 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 16 papers in Cell Biology and 15 papers in Mechanics of Materials. Recurrent topics in Ling Su's work include Hydrocarbon exploration and reservoir analysis (14 papers), Autophagy in Disease and Therapy (11 papers) and Endoplasmic Reticulum Stress and Disease (9 papers). Ling Su is often cited by papers focused on Hydrocarbon exploration and reservoir analysis (14 papers), Autophagy in Disease and Therapy (11 papers) and Endoplasmic Reticulum Stress and Disease (9 papers). Ling Su collaborates with scholars based in China, United States and Australia. Ling Su's co-authors include Liu X, Rukai Zhu, Songtao Wu, Sunil Singhal, Xianfang Liu, Sarah J. Parsons, Jingwei Cui, Zhi Yang, Caineng Zou and Ning Zhong and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Cell Biology.

In The Last Decade

Ling Su

97 papers receiving 3.0k citations

Hit Papers

Organic-matter-rich shales of China 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ling Su China 34 1.3k 738 410 406 322 105 3.0k
Mingfeng Zhang China 32 1.1k 0.8× 615 0.8× 234 0.6× 458 1.1× 220 0.7× 166 3.4k
Yonghong Li China 33 1.2k 1.0× 200 0.3× 180 0.4× 284 0.7× 214 0.7× 174 3.4k
Guan Chen China 37 1.6k 1.2× 153 0.2× 134 0.3× 715 1.8× 116 0.4× 193 4.1k
Tingting Li China 25 500 0.4× 497 0.7× 37 0.1× 391 1.0× 59 0.2× 141 2.1k
Qingtao Meng China 27 692 0.5× 844 1.1× 24 0.1× 170 0.4× 126 0.4× 92 2.3k
Tongshan Wang China 34 2.2k 1.7× 947 1.3× 28 0.1× 571 1.4× 110 0.3× 100 4.2k
Zhenxi Li China 30 938 0.7× 441 0.6× 37 0.1× 347 0.9× 39 0.1× 97 2.4k
Young‐Joo Lee South Korea 27 1.2k 0.9× 332 0.4× 127 0.3× 203 0.5× 103 0.3× 115 2.7k
S. Altmann France 24 1.2k 0.9× 177 0.2× 127 0.3× 935 2.3× 242 0.8× 43 4.1k
Xiangchun Wang China 19 1.6k 1.2× 61 0.1× 143 0.3× 307 0.8× 70 0.2× 61 2.1k

Countries citing papers authored by Ling Su

Since Specialization
Citations

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

Fields of papers citing papers by Ling Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Su

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Su. A scholar is included among the top collaborators of Ling 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 Ling Su. Ling 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.
Lu, Tong, Pengcheng Ma, Aijun Chen, et al.. (2025). Prkra dimer senses double-stranded RNAs to dictate global translation efficiency. Molecular Cell. 85(10). 2032–2047.e9. 2 indexed citations
2.
Wei, Zhiqiang, et al.. (2025). Bibliometric and visual analysis of chronic stress in cancer research from 2014 to 2024. Discover Oncology. 16(1). 79–79. 1 indexed citations
4.
Wang, Tianci, Zhibo Wang, Abdul Mueed, et al.. (2024). The protective effect of Auricularia auricula polysaccharides on cyclophosphamide-induced immunosuppression and intestinal injury: A fecal microbiota transplantation study. Food Bioscience. 62. 105416–105416. 3 indexed citations
5.
Mueed, Abdul, et al.. (2024). Polysaccharides of Floccularia luteovirens regulate intestinal immune response, and oxidative stress activity through MAPK/Nrf2/Keap1 signaling pathway in immunosuppressive mice. International Journal of Biological Macromolecules. 277(Pt 2). 134140–134140. 18 indexed citations
7.
Wang, Chen, Wendie Wang, Yue Shang, et al.. (2024). Chromomycins from soil-derived Streptomyces sp. inhibit the growth of human non-small cell lung cancer cells by targeting c-FLIP. Journal of Asian Natural Products Research. 27(2). 153–168.
9.
Liu, Yang, et al.. (2023). Cordyceps militaris polysaccharide alleviates ovalbumin-induced allergic asthma through the Nrf2/HO-1 and NF-κB signaling pathways and regulates the gut microbiota. International Journal of Biological Macromolecules. 238. 124333–124333. 23 indexed citations
10.
Su, Ling, Yonghao Gui, Quan Lu, et al.. (2023). Direct costs of community-acquired pneumonia for hospitalized children in Shanghai, China from 2018 to 2020: a cross-sectional analysis. Translational Pediatrics. 12(3). 308–319. 5 indexed citations
11.
Wang, Yingying, Minli Wei, Min Su, et al.. (2023). DIRAS3 enhances RNF19B-mediated RAC1 ubiquitination and degradation in non-small-cell lung cancer cells. iScience. 26(7). 107157–107157. 2 indexed citations
12.
Su, Ling, Xiaoli Ren, Fengying Zhang, et al.. (2022). Understanding the spatial representativeness of air quality monitoring network and its application to PM2.5 in the mainland China. Geoscience Frontiers. 13(3). 101370–101370. 20 indexed citations
13.
Liu, Zongcai, Fen Ning, Yanna Cai, et al.. (2021). The EGFR‐P38 MAPK axis up‐regulates PD‐L1 through miR‐675‐5p and down‐regulates HLA‐ABC via hexokinase‐2 in hepatocellular carcinoma cells. Cancer Communications. 41(1). 62–78. 41 indexed citations
14.
Sun, Jie, Xin Song, Ling Su, & Shifeng Cao. (2018). Long non-coding RNA LncHIFCAR promotes osteoarthritis development via positively regulating HIF-1α and activating the PI3K/AKT/mTOR pathway.. PubMed Central. 11(6). 3000–3009. 11 indexed citations
15.
Lv, Xiaoqin, et al.. (2016). Honokiol inhibits EMT-mediated motility and migration of human non-small cell lung cancer cells in vitro by targeting c-FLIP. Acta Pharmacologica Sinica. 37(12). 1574–1586. 37 indexed citations
16.
Li, Tianliang, Ling Su, Yuanjiu Lei, et al.. (2015). DDIT3 and KAT2A Proteins Regulate TNFRSF10A and TNFRSF10B Expression in Endoplasmic Reticulum Stress-mediated Apoptosis in Human Lung Cancer Cells. Journal of Biological Chemistry. 290(17). 11108–11118. 96 indexed citations
17.
Liu, Xianfang, Ling Su, & Liu X. (2013). Loss of CDH1 up‐regulates epidermal growth factor receptor via phosphorylation of YBX1 in non‐small cell lung cancer cells. FEBS Letters. 587(24). 3995–4000. 25 indexed citations
18.
Xu, Linyan, Ling Su, & Liu X. (2012). PKCδ Regulates Death Receptor 5 Expression Induced by PS-341 through ATF4–ATF3/CHOP Axis in Human Lung Cancer Cells. Molecular Cancer Therapeutics. 11(10). 2174–2182. 44 indexed citations
19.
Wang, Dongsheng, Susan J. Muller, A.R.M. Ruhul Amin, et al.. (2012). The Pivotal Role of Integrin β1 in Metastasis of Head and Neck Squamous Cell Carcinoma. Clinical Cancer Research. 18(17). 4589–4599. 39 indexed citations
20.
Zhang, Xin, Ling Su, Ali Pirani, et al.. (2006). Understanding metastatic SCCHN cells from unique genotypes to phenotypes with the aid of an animal model and DNA microarray analysis. Clinical & Experimental Metastasis. 23(3-4). 209–222. 33 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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