Shengqiang Tong

2.0k total citations
137 papers, 1.7k citations indexed

About

Shengqiang Tong is a scholar working on Analytical Chemistry, Molecular Biology and Spectroscopy. According to data from OpenAlex, Shengqiang Tong has authored 137 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Analytical Chemistry, 73 papers in Molecular Biology and 43 papers in Spectroscopy. Recurrent topics in Shengqiang Tong's work include Chromatography in Natural Products (86 papers), Natural product bioactivities and synthesis (50 papers) and Analytical Chemistry and Chromatography (43 papers). Shengqiang Tong is often cited by papers focused on Chromatography in Natural Products (86 papers), Natural product bioactivities and synthesis (50 papers) and Analytical Chemistry and Chromatography (43 papers). Shengqiang Tong collaborates with scholars based in China, United States and South Korea. Shengqiang Tong's co-authors include Jizhong Yan, Jianzhong Lou, Chu Chu, Yi‐Xin Guan, Xing‐Nuo Li, Jizhong Yan, Wenyu Sun, Ye Zheng, Yoichiro Ito and Dongping Cheng and has published in prestigious journals such as Analytical Chemistry, Journal of Chromatography A and Molecules.

In The Last Decade

Shengqiang Tong

129 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shengqiang Tong China 21 764 732 466 384 374 137 1.7k
Yutian Wu China 28 729 1.0× 1.0k 1.4× 319 0.7× 510 1.3× 347 0.9× 73 2.2k
Daijie Wang China 24 528 0.7× 881 1.2× 210 0.5× 416 1.1× 351 0.9× 118 1.9k
Svetlana Ignatova United Kingdom 26 1.2k 1.5× 737 1.0× 219 0.5× 514 1.3× 655 1.8× 69 1.8k
Mijun Peng China 24 404 0.5× 670 0.9× 269 0.6× 214 0.6× 97 0.3× 69 1.5k
Jun Dang China 21 255 0.3× 658 0.9× 274 0.6× 350 0.9× 176 0.5× 97 1.3k
Yuki Hashi China 25 515 0.7× 403 0.6× 396 0.8× 159 0.4× 121 0.3× 55 1.4k
Ailing Sun China 25 680 0.9× 725 1.0× 176 0.4× 422 1.1× 265 0.7× 52 1.5k
Jizhong Yan China 18 510 0.7× 378 0.5× 225 0.5× 253 0.7× 240 0.6× 61 908
Zhimou Guo China 30 1.0k 1.3× 1.2k 1.7× 1.5k 3.2× 169 0.4× 282 0.8× 122 2.6k
Christophe Tistaert Belgium 18 259 0.3× 428 0.6× 182 0.4× 209 0.5× 162 0.4× 32 994

Countries citing papers authored by Shengqiang Tong

Since Specialization
Citations

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

Fields of papers citing papers by Shengqiang Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengqiang Tong

This figure shows the co-authorship network connecting the top 25 collaborators of Shengqiang Tong. A scholar is included among the top collaborators of Shengqiang Tong 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 Shengqiang Tong. Shengqiang Tong 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
3.
Zhou, Chengliang, Shuliang Dong, Shenyi Jiang, et al.. (2025). Network pharmacology and experimental validation uncover how Shoutai pills improve ovarian function in postpartum depression following a secondary birth. Journal of Ethnopharmacology. 355(Pt B). 120668–120668.
12.
Xu, Ping, et al.. (2023). Inhibition mechanism of α-glucosidase by three geranylated compounds: Kinetic, spectroscopic and molecular docking. Process Biochemistry. 136. 237–244. 10 indexed citations
13.
Chu, Chu, et al.. (2023). Matrix solid‐phase dispersion combined with micro‐fractionation bioactivity evaluation screening polymethoxylated flavones from Citrus peels. Journal of Separation Science. 46(22). e2300570–e2300570. 2 indexed citations
14.
Yang, Wenyan, Shiqun Wang, Shengqiang Tong, Weidong Zhang, & Jiang‐Jiang Qin. (2023). Expanding the ubiquitin code in pancreatic cancer. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1870(1). 166884–166884. 6 indexed citations
16.
Zhang, Hui, et al.. (2018). Development of Global Chemical Profiling for Quality Assessment of Ganoderma Species by ChemPattern Software. Journal of Analytical Methods in Chemistry. 2018. 1–12. 6 indexed citations
17.
Tong, Shengqiang, et al.. (2014). Chiral ligand exchange high-speed countercurrent chromatography: mechanism and application in enantioseparation of aromatic α-hydroxyl acids. Journal of Chromatography A. 1360. 110–118. 23 indexed citations
18.
Tong, Shengqiang, Yoichiro Ito, & Ying Ma. (2014). Enantioseparation of dl -tryptophan by spiral tube assembly counter-current chromatography and evaluation of mass transfer rate for enantiomers. Journal of Chromatography A. 1374. 77–84. 15 indexed citations
19.
Tong, Shengqiang. (2013). Research progress on countercurrent chromatography in enantioseparations. Yaowu fenxi zazhi. 7 indexed citations
20.
Tong, Shengqiang, Jizhong Yan, & Yi‐Xin Guan. (2008). Preparative separation of isomeric caffeoylquinic acids from Flos Lonicerae by pH-zone-refining counter-current chromatography. Journal of Chromatography A. 1212(1-2). 48–53. 32 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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