Hongzong Si

895 total citations
65 papers, 724 citations indexed

About

Hongzong Si is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Hongzong Si has authored 65 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 21 papers in Computational Theory and Mathematics and 20 papers in Organic Chemistry. Recurrent topics in Hongzong Si's work include Computational Drug Discovery Methods (21 papers), Protein Interaction Studies and Fluorescence Analysis (6 papers) and Synthesis and biological activity (5 papers). Hongzong Si is often cited by papers focused on Computational Drug Discovery Methods (21 papers), Protein Interaction Studies and Fluorescence Analysis (6 papers) and Synthesis and biological activity (5 papers). Hongzong Si collaborates with scholars based in China, South Korea and Japan. Hongzong Si's co-authors include Qingyun Duan, Lianhua Cui, Xiaojun Yao, Zhide Hu, Aiping Fu, Shuping Yuan, Wenying He, Honglin Zhai, Ying Li and Fenling Sheng and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Chemical Physics Letters.

In The Last Decade

Hongzong Si

62 papers receiving 707 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongzong Si China 16 324 160 157 109 73 65 724
Kentaro Kawai Japan 15 286 0.9× 295 1.8× 142 0.9× 61 0.6× 79 1.1× 61 674
Laura Guasch Spain 19 528 1.6× 210 1.3× 279 1.8× 78 0.7× 102 1.4× 29 883
Prajwal P. Nandekar India 17 339 1.0× 133 0.8× 174 1.1× 88 0.8× 86 1.2× 33 690
Carsten Schmeck Germany 15 309 1.0× 312 1.9× 154 1.0× 59 0.5× 45 0.6× 26 759
Ping Kang United States 20 367 1.1× 218 1.4× 142 0.9× 208 1.9× 67 0.9× 29 1.1k
Patrick Porubsky United States 12 418 1.3× 210 1.3× 114 0.7× 132 1.2× 25 0.3× 24 960
Run‐Ling Wang China 20 782 2.4× 322 2.0× 193 1.2× 135 1.2× 39 0.5× 77 1.2k
Abhay T. Sangamwar India 19 385 1.2× 166 1.0× 188 1.2× 163 1.5× 61 0.8× 65 875
Yakov M. Koen United States 17 365 1.1× 102 0.6× 147 0.9× 177 1.6× 27 0.4× 27 914
Wen‐Xu Hong China 20 759 2.3× 180 1.1× 92 0.6× 222 2.0× 101 1.4× 77 1.5k

Countries citing papers authored by Hongzong Si

Since Specialization
Citations

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

Fields of papers citing papers by Hongzong Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongzong Si

This figure shows the co-authorship network connecting the top 25 collaborators of Hongzong Si. A scholar is included among the top collaborators of Hongzong Si 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 Hongzong Si. Hongzong Si 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.
Zhang, Miao, et al.. (2025). Network Pharmacology, Molecular Docking, Molecular Dynamics to Explore the Mechanism of Danggui Shaoyao Powder for Hepatic Encephalopathy. Current Pharmaceutical Design. 31(19). 1562–1582. 1 indexed citations
2.
Wang, Xue, et al.. (2024). PDE4D inhibitors: Opening a new era of PET diagnostics for Alzheimer's disease. Neurochemistry International. 182. 105903–105903.
3.
Jin, Yonglong, Lijie Wang, Na Zhang, et al.. (2024). A Novel Inhibitor of Poly(ADP-Ribose) Polymerase-1 Inhibits Proliferation of a BRCA-Deficient Breast Cancer Cell Line via the DNA Damage–Activated cGAS–STING Pathway. Chemical Research in Toxicology. 37(4). 561–570. 1 indexed citations
4.
Xie, Cong, et al.. (2024). Study on interaction with high-abundant blood proteins and identification of low-abundant proteins to 5-phenyl-1-(p-tolyl)-1 H-1,2,3-triazole by serum proteomics. Journal of Pharmaceutical and Biomedical Analysis. 251. 116450–116450. 1 indexed citations
5.
6.
Jin, Yonglong, Shosei Shimizu, Yinuo Li, et al.. (2023). Proton therapy (PT) combined with concurrent chemotherapy for locally advanced non-small cell lung cancer with negative driver genes. Radiation Oncology. 18(1). 189–189. 13 indexed citations
7.
Chen, Yongjian, Kang Ma, Hongzong Si, Qingyun Duan, & Honglin Zhai. (2022). Network Pharmacology Integrated Molecular Docking to Reveal the Autism andMechanism of Baohewan Heshiwei Wen Dan Tang. Current Pharmaceutical Design. 28(39). 3231–3241. 9 indexed citations
8.
9.
10.
Zhang, Dexiang, et al.. (2021). Identifying the potential regulators of neutrophils recruitment in hepatocellular carcinoma using bioinformatics method. Translational Cancer Research. 10(2). 724–737. 3 indexed citations
11.
Cui, Lianhua, et al.. (2017). Quantitative structure–activity relationship and molecular docking studies on designing inhibitors of the perforin. Chemical Biology & Drug Design. 90(4). 535–544. 3 indexed citations
12.
Wu, Luyong, Huoming Shu, Yuxue Chen, et al.. (2017). The evaluation of acute toxicity, antimicrobial activity of 1‐phenyl‐5‐p‐tolyl‐1H‐1, 2, 3‐triazole, and binding to human serum albumin. Journal of Biochemical and Molecular Toxicology. 31(11). 1 indexed citations
13.
Zhang, Anling, Lianhua Cui, Wenlian Li, et al.. (2016). QSAR Study for Carcinogenic Potency of Aromatic Amines Based on GEP and MLPs. International Journal of Environmental Research and Public Health. 13(11). 1141–1141. 7 indexed citations
14.
Li, Yuqin, et al.. (2014). Prediction on the Inhibition Ratio of Pyrrolidine Derivatives on Matrix Metalloproteinase Based on Gene Expression Programming. BioMed Research International. 2014. 1–8. 4 indexed citations
15.
Wang, Weixuan, Hongzong Si, & Ziding Zhang. (2011). Quantitative structure–activity relationship study on antitumour activity of a series of flavonoids. Molecular Simulation. 38(1). 38–44. 6 indexed citations
16.
Cui, Lianhua, Yang Song, Hongzong Si, et al.. (2011). Folate metabolism-related gene polymorphisms and susceptibility to primary liver cancer in North China. Medical Oncology. 29(3). 1837–1842. 25 indexed citations
17.
Fu, Aiping, Hongliang Li, Hongzong Si, Shuping Yuan, & Qingyun Duan. (2008). Theoretical studies of stereoselectivities in the direct syn- and anti-Mannich reactions catalyzed by different amino acids. Tetrahedron Asymmetry. 19(19). 2285–2292. 13 indexed citations
18.
Wang, Tao, Hongzong Si, Pingping Chen, Kejun Zhang, & Xiaojun Yao. (2008). QSAR Models for the Dermal Penetration of Polycyclic Aromatic Hydrocarbons Based on Gene Expression Programming. QSAR & Combinatorial Science. 27(7). 913–921. 5 indexed citations
19.
Luan, Feng, et al.. (2007). Prediction of retention times for a large set of pesticides or toxicants based on support vector machine and the heuristic method. Toxicology Letters. 175(1-3). 136–144. 22 indexed citations
20.
Si, Hongzong, Kejun Zhang, Qingyun Duan, et al.. (2007). Quantitative structure activity relationship model for predicting the depletion percentage of skin allergic chemical substances of glutathione. Analytica Chimica Acta. 591(2). 255–264. 13 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Kentaro Kawai Breakdown of academic impact, for papers by Laura Guasch Breakdown of academic impact, for papers by Prajwal P. Nandekar Breakdown of academic impact, for papers by Carsten Schmeck Breakdown of academic impact, for papers by Ping Kang Breakdown of academic impact, for papers by Patrick Porubsky Breakdown of academic impact, for papers by Run‐Ling Wang Breakdown of academic impact, for papers by Abhay T. Sangamwar Breakdown of academic impact, for papers by Yakov M. Koen Breakdown of academic impact, for papers by Wen‐Xu Hong
Rankless by CCL
2026