Li Su

1.3k total citations
30 papers, 971 citations indexed

About

Li Su is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Li Su has authored 30 papers receiving a total of 971 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Oncology and 7 papers in Cancer Research. Recurrent topics in Li Su's work include Cancer Cells and Metastasis (6 papers), Pain Mechanisms and Treatments (6 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Li Su is often cited by papers focused on Cancer Cells and Metastasis (6 papers), Pain Mechanisms and Treatments (6 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Li Su collaborates with scholars based in China, Spain and United States. Li Su's co-authors include Cheng Qian, Feifei Cheng, Limei Liu, Juanjuan Shan, Junjie Shen, Chungang Liu, Jun Chen, Zhi Yang, Chao Yao and Jimin Shao and has published in prestigious journals such as Nature Communications, Gastroenterology and Cancer Research.

In The Last Decade

Li Su

27 papers receiving 966 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li Su China 13 476 362 260 157 101 30 971
Yoshiaki Onodera Japan 23 772 1.6× 260 0.7× 285 1.1× 133 0.8× 58 0.6× 57 1.3k
Junfang Zheng China 21 549 1.2× 245 0.7× 120 0.5× 173 1.1× 65 0.6× 44 886
Ke Gong China 16 579 1.2× 241 0.7× 256 1.0× 130 0.8× 50 0.5× 39 1.0k
Izabela Piotrowska United Kingdom 16 731 1.5× 153 0.4× 363 1.4× 185 1.2× 107 1.1× 19 1.5k
Danfeng Lin China 12 400 0.8× 352 1.0× 362 1.4× 219 1.4× 49 0.5× 18 1.1k
Sharmistha Chakraborty United States 23 891 1.9× 211 0.6× 303 1.2× 118 0.8× 70 0.7× 41 1.4k
Elizabeth A. Kosmacek United States 18 530 1.1× 169 0.5× 246 0.9× 113 0.7× 41 0.4× 45 1.0k
Dongfang Tang China 16 545 1.1× 311 0.9× 147 0.6× 115 0.7× 35 0.3× 67 850
Peter K. Harris United States 14 620 1.3× 239 0.7× 267 1.0× 175 1.1× 78 0.8× 33 1.3k
Xiaoming Shen China 20 533 1.1× 182 0.5× 477 1.8× 250 1.6× 66 0.7× 34 1.2k

Countries citing papers authored by Li Su

Since Specialization
Citations

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

Fields of papers citing papers by Li Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Su

This figure shows the co-authorship network connecting the top 25 collaborators of Li Su. A scholar is included among the top collaborators of Li 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 Li Su. Li 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.
Xiang, Junyu, Yuanli Ni, Hui Sun, et al.. (2025). MEF2D-expressing cancer precursors reprogram tissue-resident macrophages to support liver tumorigenesis. Nature Cancer. 6(12). 1955–1975.
3.
Ma, Longyu, Lupeng Yue, Shuting Liu, et al.. (2024). A distinct neuronal ensemble of prelimbic cortex mediates spontaneous pain in rats with peripheral inflammation. Nature Communications. 15(1). 7922–7922. 7 indexed citations
4.
Chen, Jiaojiao, et al.. (2024). Overexpression of SYNGAP1 suppresses the proliferation of rectal adenocarcinoma via Wnt/β-Catenin signaling pathway. Discover Oncology. 15(1). 135–135. 1 indexed citations
5.
Su, Li, et al.. (2023). Increased tumor-associated mast cells facilitate thyroid cancer progression by inhibiting CD8+ T cell function through galectin-9. Brazilian Journal of Medical and Biological Research. 56. e12370–e12370. 7 indexed citations
6.
Xiang, Junyu, Ni Zhang, Jinyang Li, et al.. (2023). A Ubiquitin‐Dependent Switch on MEF2D Senses Pro‐Metastatic Niche Signals to Facilitate Intrahepatic Metastasis of Liver Cancer. Advanced Science. 10(35). e2305550–e2305550. 9 indexed citations
7.
Cao, Feng, Jinyan Jiang, Li Su, et al.. (2022). The T-Type Calcium Channel Cav3.2 in Somatostatin Interneurons in Spinal Dorsal Horn Participates in Mechanosensation and Mechanical Allodynia in Mice. Frontiers in Cellular Neuroscience. 16. 875726–875726. 5 indexed citations
8.
Ding, Xu, Feifei Liao, Li Su, et al.. (2022). Sciatic nerve block downregulates the BDNF pathway to alleviate the neonatal incision-induced exaggeration of incisional pain via decreasing microglial activation. Brain Behavior and Immunity. 105. 204–224. 5 indexed citations
9.
Mao, Guojiang, Zhenzhen Liang, Yingying Wang, et al.. (2019). A photostable Si-rhodamine-based near-infrared fluorescent probe for monitoring lysosomal pH during heat stroke. Analytica Chimica Acta. 1092. 117–125. 53 indexed citations
10.
Xiang, Junyu, Ni Zhang, Hui Sun, et al.. (2019). Disruption of SIRT7 Increases the Efficacy of Checkpoint Inhibitor via MEF2D Regulation of Programmed Cell Death 1 Ligand 1 in Hepatocellular Carcinoma Cells. Gastroenterology. 158(3). 664–678.e24. 83 indexed citations
11.
12.
Xiang, Junyu, Hui Sun, Li Su, et al.. (2017). Myocyte enhancer factor 2D promotes colorectal cancer angiogenesis downstream of hypoxia-inducible factor 1α. Cancer Letters. 400. 117–126. 28 indexed citations
13.
Su, Li, Yongli Luo, Zhi Yang, et al.. (2016). MEF2D Transduces Microenvironment Stimuli to ZEB1 to Promote Epithelial–Mesenchymal Transition and Metastasis in Colorectal Cancer. Cancer Research. 76(17). 5054–5067. 57 indexed citations
14.
Cheng, Feifei, Li Su, Chao Yao, et al.. (2016). SIRT1 promotes epithelial–mesenchymal transition and metastasis in colorectal cancer by regulating Fra-1 expression. Cancer Letters. 375(2). 274–283. 84 indexed citations
15.
Zhang, Wen‐Bo, Li Su, Caixia Wang, et al.. (2016). Decellularized ovine arteries as biomatrix scaffold support endothelial of mesenchymal stem cells. Heart and Vessels. 31(11). 1874–1881. 11 indexed citations
16.
Zhang, Wenbo, et al.. (2016). Hemothorax caused by replacement of hemodialysis catheter: A case report. Hemodialysis International. 20(4). E7–E10. 4 indexed citations
17.
Chang, Boyang, Hang Yang, Jiao Yuan, et al.. (2016). SOD2 deregulation enhances migration, invasion and has poor prognosis in salivary adenoid cystic carcinoma. Scientific Reports. 6(1). 25918–25918. 41 indexed citations
18.
Yao, Chao, Li Su, Juanjuan Shan, et al.. (2016). IGF/STAT3/NANOG/Slug Signaling Axis Simultaneously Controls Epithelial-Mesenchymal Transition and Stemness Maintenance in Colorectal Cancer. Stem Cells. 34(4). 820–831. 105 indexed citations
19.
Liu, Feng‐Yuan, Yanni Sun, Qian Li, et al.. (2011). Activation of satellite glial cells in lumbar dorsal root ganglia contributes to neuropathic pain after spinal nerve ligation. Brain Research. 1427. 65–77. 81 indexed citations
20.
Su, Li, Yong Liang, Hai Liao, et al.. (2007). A method for determining the concentration of FG020326 in mice plasma by RP-HPLC. Zhongguo yaolixue tongbao. 23(1). 131–134. 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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