Song Wu

1.8k total citations
114 papers, 1.5k citations indexed

About

Song Wu is a scholar working on Molecular Biology, Organic Chemistry and Pharmacology. According to data from OpenAlex, Song Wu has authored 114 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 31 papers in Organic Chemistry and 27 papers in Pharmacology. Recurrent topics in Song Wu's work include Computational Drug Discovery Methods (20 papers), Cholinesterase and Neurodegenerative Diseases (12 papers) and Synthesis and biological activity (7 papers). Song Wu is often cited by papers focused on Computational Drug Discovery Methods (20 papers), Cholinesterase and Neurodegenerative Diseases (12 papers) and Synthesis and biological activity (7 papers). Song Wu collaborates with scholars based in China, United States and Hong Kong. Song Wu's co-authors include Jie Xia, Guanhua Du, Ailin Liu, Wenxuan Zhang, Dongmei Wang, Qingyun Yang, Wenjie Xue, Xiang Simon Wang, Chunfu Wu and Caixia Wu and has published in prestigious journals such as Nature Communications, International Journal of Molecular Sciences and Journal of Allergy and Clinical Immunology.

In The Last Decade

Song Wu

101 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Song Wu China	22	705	341	274	244	118	114	1.5k
Tuomo Laitinen Finland	26	970 1.4×	354 1.0×	278 1.0×	193 0.8×	150 1.3×	90	1.8k
Vivek K. Vyas India	20	726 1.0×	335 1.0×	182 0.7×	352 1.4×	87 0.7×	86	1.4k
Sarah Naomi Bolz Germany	8	757 1.1×	249 0.7×	146 0.5×	300 1.2×	137 1.2×	12	1.4k
Florian Kaiser Germany	12	788 1.1×	323 0.9×	154 0.6×	251 1.0×	123 1.0×	24	1.5k
Benjamin J. Orlando United States	15	801 1.1×	322 0.9×	322 1.2×	144 0.6×	230 1.9×	24	1.6k
Xu Shen China	31	1.6k 2.2×	392 1.1×	214 0.8×	207 0.8×	142 1.2×	66	2.3k
Thomas Scior Mexico	20	957 1.4×	381 1.1×	211 0.8×	480 2.0×	110 0.9×	73	1.8k
Giosuè Costa Italy	30	1.4k 2.0×	388 1.1×	307 1.1×	220 0.9×	175 1.5×	107	2.5k
Alessandra Nurisso Switzerland	25	1000 1.4×	458 1.3×	330 1.2×	138 0.6×	190 1.6×	48	1.9k
Giulio Poli Italy	27	1.2k 1.7×	518 1.5×	424 1.5×	478 2.0×	144 1.2×	98	2.0k

Countries citing papers authored by Song Wu

Since Specialization

Citations

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

Fields of papers citing papers by Song Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Wu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wu, Song, Zuoming Deng, A. F. M. Jamal Uddin, et al.. (2025). Utilization of the All of Us Research Program in a study of genetics in Yao syndrome. Journal of Allergy and Clinical Immunology. 157(3). 767–775.

Wu, Song, et al.. (2025). Geometry-based BERT: An experimentally validated deep learning model for molecular property prediction in drug discovery. Journal of Pharmaceutical Analysis. 15(12). 101465–101465.

Wu, Weiwei, et al.. (2025). Pulmonary fungal infection caused by Rhizopus microsporus in type II diabetic patient:A case report. Diagnostic Microbiology and Infectious Disease. 113(2). 116953–116953.

Wu, Guangxu, Jie Zhang, Hang Yu, et al.. (2024). Novel pleuromutilin derivatives conjugated with phenyl-sulfide and boron-containing moieties as potent antibacterial agents against antibiotic-resistant bacteria. European Journal of Medicinal Chemistry. 277. 116745–116745. 2 indexed citations

Wang, Mingchao, Baoyan Fan, Wenxuan Zhang, et al.. (2024). Discovery of Oral AMP-Activated Protein Kinase Activators for Treating Hyperlipidemia. Journal of Medicinal Chemistry. 67(10). 7870–7890. 1 indexed citations

Tong, Qin, Xuefeng Gao, Lei Lei, et al.. (2023). Machine learning- and structure-based discovery of a novel chemotype as FXR agonists for potential treatment of nonalcoholic fatty liver disease. European Journal of Medicinal Chemistry. 252. 115307–115307. 8 indexed citations

Zhang, Chi, et al.. (2023). Potent salinomycin C20-O-alkyl oxime derivative SAL-98 efficiently inhibits tumor growth and metastasis by affecting Wnt/β-catenin signal pathway. Biochemical Pharmacology. 214. 115666–115666.

Zhang, Chi, Bo Liu, Jie Zhang, et al.. (2023). Development and In Vitro–In Vivo Correlation Evaluation of IMM-H014 Extended-Release Tablets for the Treatment of Fatty Liver Disease. International Journal of Molecular Sciences. 24(15). 12328–12328.

Tong, Qin, Xuefeng Gao, Lei Lei, et al.. (2022). Structural optimization and biological evaluation of 1-adamantylcarbonyl-4-phenylpiperazine derivatives as FXR agonists for NAFLD. European Journal of Medicinal Chemistry. 245(Pt 1). 114903–114903. 10 indexed citations

10.

Xia, Jie, Zhenyi Wang, Yi Huan, et al.. (2020). Pose Filter-Based Ensemble Learning Enables Discovery of Orally Active, Nonsteroidal Farnesoid X Receptor Agonists. Journal of Chemical Information and Modeling. 60(3). 1202–1214. 10 indexed citations

11.

Wei, Feng, et al.. (2015). Determination of fluorescent whitening agents in disposable sanitary products by high performance liquid chromatography. Chinese Journal of Chromatography. 33(2). 158–158. 1 indexed citations

12.

Wu, Song. (2013). Synthesis of two metabolites of pinocembrin. Zhongguo xin yao zazhi. 1 indexed citations

13.

Wang, Lixiang, Haifeng Liu, Xiangwen Xiao, et al.. (2012). Studies on hereditary properties of colored cotton in Xinjiang.. Agricultural Science and Technology Hunan. 13(3). 541–582. 4 indexed citations

14.

Wu, Song. (2009). Ion pair RP-HPLC determination of ethambutol hydrochloride in the combined preparation of antituberculotic. Yaowu fenxi zazhi. 1 indexed citations

15.

Wu, Song. (2009). The Progress of Protein Quality Control Methods in Shotgun Proteomics. PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS. 2 indexed citations

16.

Wu, Song. (2007). Isolation and identification of an unknown factitious additive in a hypoglycemic health product. Yaowu fenxi zazhi. 1 indexed citations

17.

Wu, Song. (2005). Preparation of fatty acid alkanolamide for flooding. Journal of Daqing Petroleum Institute. 2 indexed citations

18.

Guo, Yanshen, et al.. (2005). Exploration of a binding mode of indole amide analogues as potent histone deacetylase inhibitors and 3D-QSAR analyses. Bioorganic & Medicinal Chemistry. 13(18). 5424–5434. 48 indexed citations

19.

Wu, Song. (2003). THE ADVANCE ON THE RESEARCH OF BREVISCAPINE. Tianran chanwu yanjiu yu kaifa. 5 indexed citations

20.

Wu, Song. (2001). Study on the Volatile Constituents of Maillard Reaction.

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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