Su An

900 total citations
35 papers, 656 citations indexed

About

Su An is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Su An has authored 35 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 9 papers in Computational Theory and Mathematics and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Su An's work include Computational Drug Discovery Methods (9 papers), Melanoma and MAPK Pathways (8 papers) and Receptor Mechanisms and Signaling (8 papers). Su An is often cited by papers focused on Computational Drug Discovery Methods (9 papers), Melanoma and MAPK Pathways (8 papers) and Receptor Mechanisms and Signaling (8 papers). Su An collaborates with scholars based in China, United Kingdom and South Korea. Su An's co-authors include Tian‐Rui Xu, Xiao‐Xi Guo, Richard J. Ward, Ying Liu, Yang Yang, Qian Hao, Jiaojiao Yu, Yang Yang, Ying Liu and Yin Liu and has published in prestigious journals such as Biochemical Journal, Biochemical and Biophysical Research Communications and Gene.

In The Last Decade

Su An

35 papers receiving 654 citations

Peers

Su An

ONCOL

PRM

IMMUN

Shengchen Lin China

Markus K. Muellner Austria

Alban Girault France

Slobodan Poznanović Germany

Sun A Kim South Korea

Yoko Nagai Japan

Heejun Hwang South Korea

Srikant Viswanadha United States

Ana Marı́a Risco Spain

Shengchen Lin China

Su An

371 ×0.8

150 ×1.5

ONCOL

127 ×1.7

68 ×1.0

PRM

53 ×0.8

IMMUN

Citations per year, relative to Su An Su An (= 1×) peers Shengchen Lin

Countries citing papers authored by Su An

Since Specialization

Citations

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

Fields of papers citing papers by Su An

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Su An

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

All Works

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20 of 20 papers shown

Zhang, Lijing, Yaru Zhao, Liqiao Chen, et al.. (2025). Parishin A alleviates insomnia by regulating hypothalamic-pituitary-adrenal axis homeostasis and directly targeting orexin receptor OX2. European Journal of Pharmacology. 998. 177498–177498. 2 indexed citations

Sang, Jun, et al.. (2024). Jolkinolide B synergistically potentiates the antitumor activity of GPX4 inhibitors via inhibiting TrxR1 in cisplatin-resistant bladder cancer cells. Biochemical Pharmacology. 223. 116194–116194. 10 indexed citations

Zhang, Lijing, M. D. Lan, Hui Chen, et al.. (2024). Activation of the Melatonin Receptor MT ₁ by the Natural Product Gastrodin to Promote Sleep. Journal of Pineal Research. 76(8). e70016–e70016. 3 indexed citations

An, Su, et al.. (2023). SODD Promotes Lung Cancer Tumorigenesis by Activating the PDK1/AKT and RAF/MEK/ERK Signaling. Genes. 14(4). 829–829. 3 indexed citations

Guo, Xiao‐Xi, et al.. (2023). Challenges and Perspectives in Target Identification and Mechanism Illustration for Chinese Medicine. Chinese Journal of Integrative Medicine. 29(7). 644–654. 10 indexed citations

Wang, Jiwei, Richard J. Ward, Tao Tang, et al.. (2023). New animal model of chronic gout reproduces pathological features of the disease in humans. RMD Open. 9(4). e003499–e003499. 3 indexed citations

Huang, Ying, Jun Peng, Jiaojiao Yu, et al.. (2021). IRS4 promotes the progression of non-small cell lung cancer and confers resistance to EGFR-TKI through the activation of PI3K/Akt and Ras-MAPK pathways. Experimental Cell Research. 403(2). 112615–112615. 18 indexed citations

Yang, Yang, Lijing Zhang, Jiaojiao Yu, et al.. (2021). A Novel 5-HT1B Receptor Agonist of Herbal Compounds and One of the Therapeutic Uses for Alzheimer’s Disease. Frontiers in Pharmacology. 12. 735876–735876. 10 indexed citations

Liu, Ying, Yuting Shao, Richard J. Ward, et al.. (2021). The C-terminal of the α1b-adreneroceptor is a key determinant for its structure integrity and biological functions. Bioscience Biotechnology and Biochemistry. 85(5). 1128–1139. 3 indexed citations

10.

Yu, Jiaojiao, Lijing Zhang, Jun Peng, et al.. (2021). Dictamnine, a novel c-Met inhibitor, suppresses the proliferation of lung cancer cells by downregulating the PI3K/AKT/mTOR and MAPK signaling pathways. Biochemical Pharmacology. 195. 114864–114864. 47 indexed citations

11.

Yu, Jiaojiao, et al.. (2020). Eukaryotic translation initiation factors as promising targets in cancer therapy. Cell Communication and Signaling. 18(1). 175–175. 73 indexed citations

12.

Liu, Ying, Luyao Chen, Hong Zeng, et al.. (2018). Assessing the real-time activation of the cannabinoid CB1 receptor and the associated structural changes using a FRET biosensor. The International Journal of Biochemistry & Cell Biology. 99. 114–124. 9 indexed citations

13.

Guo, Hui, Jun Peng, Ying Huang, et al.. (2018). RUVBL1, a novel C-RAF-binding protein, activates the RAF/MEK/ERK pathway to promote lung cancer tumorigenesis. Biochemical and Biophysical Research Communications. 498(4). 932–939. 17 indexed citations

14.

Guo, Hui, Bing Han, Xumin Zhang, et al.. (2018). Revealing A-Raf functions through its interactome. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1866(8). 849–856. 6 indexed citations

15.

Huang, Ying, Su An, Yang Yang, et al.. (2018). C-RAF function at the genome-wide transcriptome level: A systematic view. Gene. 656. 53–59. 3 indexed citations

16.

Cho, Sung Yun, Su An, Hyo‐Jeong Lee, et al.. (2017). Characterization of the aminopyridine derivative KRC-180 as a JAK2 inhibitor. Oncology Letters. 14(2). 1347–1354. 2 indexed citations

17.

Peng, Jun, Su An, Huiping Wang, et al.. (2016). Video-assisted thoracoscopic surgery lobectomy for lung cancer versus thoracotomy: a less decrease in sVEGFR2 level after surgery. Journal of Thoracic Disease. 8(3). 323–328. 8 indexed citations

18.

Liu, Ying, Su An, Richard J. Ward, et al.. (2016). G protein-coupled receptors as promising cancer targets. Cancer Letters. 376(2). 226–239. 99 indexed citations

19.

An, Su, Yang Yang, Richard J. Ward, et al.. (2015). A-Raf: A new star of the family of raf kinases. Critical Reviews in Biochemistry and Molecular Biology. 50(6). 520–531. 28 indexed citations

20.

Liu, Huan, John F. Andersen, Fuyuki Tokumasu, et al.. (2011). A novel family of RGD-containing disintegrins (Tablysin-15) from the salivary gland of the horsefly Tabanus yao targets αIIbβ3 or αVβ3 and inhibits platelet aggregation and angiogenesis. Thrombosis and Haemostasis. 105(6). 1032–1045. 54 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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