Li Su

2.1k total citations
66 papers, 1.7k citations indexed

About

Li Su is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Li Su has authored 66 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 18 papers in Oncology and 9 papers in Surgery. Recurrent topics in Li Su's work include Peptidase Inhibition and Analysis (10 papers), Microtubule and mitosis dynamics (6 papers) and Neuropeptides and Animal Physiology (6 papers). Li Su is often cited by papers focused on Peptidase Inhibition and Analysis (10 papers), Microtubule and mitosis dynamics (6 papers) and Neuropeptides and Animal Physiology (6 papers). Li Su collaborates with scholars based in Taiwan, China and United States. Li Su's co-authors include Chi‐Ying F. Huang, Jacqueline Whang‐Peng, Chien‐Ju Lin, Chi-Hung Lin, Chen‐Hsin Chen, Kuang-Chi Chen, Wenfang Xu, Chih‐Yen Chien, Chi‐Chang Juan and Yuan-Chii Gladys Lee and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Li Su

64 papers receiving 1.6k 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 Taiwan 24 1.1k 388 358 264 184 66 1.7k
Miki Shitashige Japan 26 1.1k 1.0× 435 1.1× 299 0.8× 215 0.8× 216 1.2× 43 1.9k
Maria Chiara De Santis Italy 14 1.0k 0.9× 287 0.7× 333 0.9× 139 0.5× 189 1.0× 18 1.6k
Xiaobing Deng United States 24 1.2k 1.1× 436 1.1× 300 0.8× 222 0.8× 154 0.8× 39 1.8k
Sven A. Lang Germany 24 928 0.8× 449 1.2× 298 0.8× 174 0.7× 121 0.7× 44 1.5k
Chang Hun Rhee South Korea 22 968 0.9× 287 0.7× 405 1.1× 196 0.7× 116 0.6× 34 1.8k
Huiling Yang China 26 1.3k 1.1× 475 1.2× 542 1.5× 148 0.6× 133 0.7× 65 1.7k
Adriana González United States 26 1.1k 1.0× 479 1.2× 302 0.8× 429 1.6× 235 1.3× 62 2.2k
Hideyuki Ishiguro Japan 22 1.7k 1.5× 435 1.1× 556 1.6× 197 0.7× 198 1.1× 62 2.3k
Pat Gulhati United States 15 1.3k 1.1× 550 1.4× 455 1.3× 224 0.8× 117 0.6× 33 1.9k
Oona Delpuech United Kingdom 20 1.1k 0.9× 433 1.1× 460 1.3× 243 0.9× 108 0.6× 33 1.7k

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.
Chen, Chang‐Han, et al.. (2025). Areca catechu L. Extract Inhibits Colorectal Cancer Tumor Growth by Modulating Cell Apoptosis and Autophagy. Current Issues in Molecular Biology. 47(2). 128–128. 1 indexed citations
2.
Gao, Wei, et al.. (2024). Theoretical Study on Intramolecular Hydrogen Bonds of Flavonoid Cocrystals. ChemPhysChem. 26(1). e202400591–e202400591. 1 indexed citations
3.
4.
Yin, Wenchao, et al.. (2024). Effects of propofol versus sevoflurane on surgical field visibility during arthroscopic rotator cuff repair: a randomized trial. BMC Anesthesiology. 24(1). 28–28. 1 indexed citations
5.
Chen, Chang-Han, et al.. (2017). Metformin disrupts malignant behavior of oral squamous cell carcinoma via a novel signaling involving Late SV40 factor/Aurora-A. Scientific Reports. 7(1). 1358–1358. 16 indexed citations
6.
Chen, Chang-Han, Alice Y. Chang, Shau-Hsuan Li, et al.. (2015). Suppression of Aurora-A-FLJ10540 signaling axis prohibits the malignant state of head and neck cancer. Molecular Cancer. 14(1). 83–83. 18 indexed citations
7.
Chiang, Kun‐Chun, Chun‐Nan Yeh, Kun‐Ju Lin, et al.. (2014). Chemopreventive and chemotherapeutic effects of dietary supplementation of vitamin D on cholangiocarcinoma in a Chemical-Induced animal model. Oncotarget. 5(11). 3849–3861. 14 indexed citations
8.
Wang, Sishuo, Yujuan Dong, Yanquan Zhang, et al.. (2014). DACT2 is a functional tumor suppressor through inhibiting Wnt/β-catenin pathway and associated with poor survival in colon cancer. Oncogene. 34(20). 2575–2585. 50 indexed citations
9.
Jiang, Qixiao, et al.. (2013). Molecular mechanism of polypeptides from Chlamys farreri (PCF)’s anti-apoptotic effect in UVA-exposed HaCaT cells involves HSF1/HSP70, JNK, XO, iNOS and NO/ROS. Journal of Photochemistry and Photobiology B Biology. 130. 47–56. 15 indexed citations
10.
Su, Li, Chia‐Chuan Chang, Jin-Mei Lai, et al.. (2013). Graptopetalum Paraguayense Ameliorates Chemical-Induced Rat Hepatic Fibrosis In Vivo and Inactivates Stellate Cells and Kupffer Cells In Vitro. PLoS ONE. 8(1). e53988–e53988. 29 indexed citations
11.
Chen, Chang-Han, Tsao‐Cheng Huang, Fu-Min Fang, et al.. (2012). Overexpression of Rap-1A Indicates a Poor Prognosis for Oral Cavity Squamous Cell Carcinoma and Promotes Tumor Cell Invasion via Aurora-A Modulation. American Journal Of Pathology. 182(2). 516–528. 29 indexed citations
12.
Yu, Chang-Tze Ricky, Jiun‐Yi Hsia, Li Su, et al.. (2011). The Novel Protein Suppressed in Lung Cancer Down-Regulated in Lung Cancer Tissues Retards Cell Proliferation and Inhibits the Oncokinase Aurora-A. Journal of Thoracic Oncology. 6(6). 988–997. 8 indexed citations
13.
Xu, Xiangxiang, et al.. (2011). Role of hCG in Vasculogenic Mimicry in OVCAR-3 Ovarian Cancer Cell Line. International Journal of Gynecological Cancer. 21(8). 1366–1374. 17 indexed citations
14.
Hwang, Chung‐Feng, Chih‐Yen Chien, Yufang Yin, et al.. (2010). Fibulin‐3 is associated with tumour progression and a poor prognosis in nasopharyngeal carcinomas and inhibits cell migration and invasion via suppressed AKT activity. The Journal of Pathology. 222(4). 367–379. 65 indexed citations
15.
Su, Li. (2007). VEGETATION INDEXES-BIOMASS MODELS FOR TYPICAL SEMI-ARID STEPPE—A CASE STUDY FOR XILINHOT IN NORTHERN CHINA. Journal of Plant Ecology. 4 indexed citations
16.
Hsu, Chun-Nan, Jin-Mei Lai, Chia-Hung Liu, et al.. (2007). Detection of the inferred interaction network in hepatocellular carcinoma from EHCO (E ncyclopedia of H epatocellular C arcinoma genes O nline). BMC Bioinformatics. 8(1). 66–66. 42 indexed citations
17.
Su, Li, Kuang-Chi Chen, Chien‐Ju Lin, et al.. (2007). Selection of DDX5 as a novel internal control for Q-RT-PCR from microarray data using a block bootstrap re-sampling scheme. BMC Genomics. 8(1). 140–140. 263 indexed citations
18.
Su, Li, Chang-Tze Ricky Yu, Fen-Hwa Wong, et al.. (2006). Gene Expression Profiles of the Aurora Family Kinases. Gene Expression. 13(1). 15–26. 38 indexed citations
19.
Su, Li, et al.. (2005). Global gene expression profiling of dimethylnitrosamine induced liver fibrosis in rat model, from pathological and biochemical data to microarray analysis.. Cancer Research. 65. 4–4. 1 indexed citations
20.
Su, Li, Yi‐Ren Hong, Tai-Shan Cheng, et al.. (2003). Identification of the Substrates and Interaction Proteins of Aurora Kinases from a Protein-Protein Interaction Model. Molecular & Cellular Proteomics. 3(1). 93–104. 31 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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