Baichun Hu

827 total citations
55 papers, 660 citations indexed

About

Baichun Hu is a scholar working on Molecular Biology, Computational Theory and Mathematics and Oncology. According to data from OpenAlex, Baichun Hu has authored 55 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 16 papers in Computational Theory and Mathematics and 13 papers in Oncology. Recurrent topics in Baichun Hu's work include Computational Drug Discovery Methods (16 papers), Receptor Mechanisms and Signaling (7 papers) and Peptidase Inhibition and Analysis (5 papers). Baichun Hu is often cited by papers focused on Computational Drug Discovery Methods (16 papers), Receptor Mechanisms and Signaling (7 papers) and Peptidase Inhibition and Analysis (5 papers). Baichun Hu collaborates with scholars based in China, United States and United Kingdom. Baichun Hu's co-authors include Jian Wang, Hanxun Wang, Fengjiao Zhang, Maosheng Cheng, Ying Wang, Tingting Zhang, Xiaohong Hou, Xiaomei He, Zhaokun Wang and Junyuan Zhang and has published in prestigious journals such as International Journal of Molecular Sciences, Journal of Medicinal Chemistry and Physical Chemistry Chemical Physics.

In The Last Decade

Baichun Hu

51 papers receiving 652 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Baichun Hu China 15 246 106 101 89 73 55 660
Preeti Patel India 18 358 1.5× 83 0.8× 216 2.1× 68 0.8× 88 1.2× 109 996
Sumant Saini India 16 202 0.8× 159 1.5× 64 0.6× 28 0.3× 45 0.6× 37 1000
Jing Xue China 17 269 1.1× 116 1.1× 217 2.1× 35 0.4× 41 0.6× 42 792
Osama Abdulaziz Saudi Arabia 15 121 0.5× 208 2.0× 97 1.0× 56 0.6× 23 0.3× 56 677
Seema Joshi India 13 111 0.5× 98 0.9× 299 3.0× 108 1.2× 124 1.7× 31 645
Yamini Bobde India 17 182 0.7× 145 1.4× 201 2.0× 29 0.3× 81 1.1× 26 673
Awwad A. Radwan Saudi Arabia 15 212 0.9× 114 1.1× 313 3.1× 43 0.5× 64 0.9× 55 770
Xiuquan Xu China 17 191 0.8× 231 2.2× 76 0.8× 21 0.2× 47 0.6× 32 804
Mohd Usman Mohd Siddique India 14 214 0.9× 43 0.4× 162 1.6× 59 0.7× 41 0.6× 49 516
Firouzeh Manouchehri Iran 9 262 1.1× 176 1.7× 149 1.5× 15 0.2× 92 1.3× 14 602

Countries citing papers authored by Baichun Hu

Since Specialization
Citations

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

Fields of papers citing papers by Baichun Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baichun Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Baichun Hu. A scholar is included among the top collaborators of Baichun Hu 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 Baichun Hu. Baichun Hu 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.
Hu, Baichun, Yang Zong, Yu‐Long Wang, et al.. (2025). Spatial and electronic features driving SGLT1/2 selectivity: a combined molecular dynamics and quantum mechanics study. Physical Chemistry Chemical Physics. 27(36). 18978–18996.
2.
Hu, Baichun, Xiao Wang, Hanxun Wang, et al.. (2024). Docking Score ML: Target-Specific Machine Learning Models Improving Docking-Based Virtual Screening in 155 Targets. Journal of Chemical Information and Modeling. 64(14). 5413–5426. 13 indexed citations
3.
Wang, Zhijian, Hanxun Wang, Baichun Hu, et al.. (2024). Uncovering the selectivity mechanism of phosphodiesterase 7A/8A inhibitors through computational studies. Physical Chemistry Chemical Physics. 26(15). 11770–11781.
4.
5.
Wang, Chenxiao, Baichun Hu, Yihan Wang, et al.. (2024). Structural simulation and selective inhibitor discovery study for histone demethylases KDM4E/6B from a computational perspective. Computational Biology and Chemistry. 110. 108072–108072. 2 indexed citations
6.
Zhong, Ye, Jing Xu, Yufei Zhang, et al.. (2024). Discovery of novel CDK9 inhibitor with tridentate ligand: Design, synthesis and biological evaluation. Bioorganic Chemistry. 150. 107550–107550. 2 indexed citations
7.
Hu, Baichun, et al.. (2023). Structural requirement of RARγ agonism through computational aspects. Journal of Molecular Modeling. 29(4). 108–108. 3 indexed citations
8.
Hu, Baichun, et al.. (2022). Selectivity mechanism of BCL-XL/2 inhibition through in silico investigation. Physical Chemistry Chemical Physics. 24(28). 17105–17115. 11 indexed citations
9.
Hu, Baichun, et al.. (2022). Selectivity mechanism of muscarinic acetylcholine receptor antagonism through in silico investigation. Physical Chemistry Chemical Physics. 24(42). 26269–26287. 2 indexed citations
10.
Wang, Hanxun, et al.. (2022). Selectivity mechanism of GRK2/5 inhibition through in silico investigation. Computational Biology and Chemistry. 101. 107786–107786. 3 indexed citations
11.
Wang, Ying, et al.. (2021). Perspective of structural flexibility on selective inhibition towards CYP1B1 over CYP1A1 by α-naphthoflavone analogs. Physical Chemistry Chemical Physics. 23(36). 20230–20246. 9 indexed citations
12.
Chen, Yanfei, et al.. (2021). Preparation and freeze-thaw damage evolution of n-tetradecane/graphite low-temperature phase change cement-based materials. 复合材料学报. 39. 1–12. 6 indexed citations
13.
Hu, Baichun, Ziqi Xu, Yunxia Ye, et al.. (2021). Selectivity mechanism of phosphodiesterase isoform inhibitor through in silico investigations. Journal of Molecular Modeling. 28(1). 9–9. 13 indexed citations
14.
Jiang, Siyuan, et al.. (2021). Discovery of hydrazide-containing oseltamivir analogues as potent inhibitors of influenza A neuraminidase. European Journal of Medicinal Chemistry. 221. 113567–113567. 10 indexed citations
15.
Hu, Baichun, Xinyue Liu, Xiu Jun Wang, et al.. (2020). Refined pharmacophore features for virtual screening of human thromboxane A2 receptor antagonists. Computational Biology and Chemistry. 86. 107249–107249. 8 indexed citations
16.
Liu, Yutong, Baichun Hu, Jian Wang, et al.. (2019). A novel cathepsin L inhibitor prevents the progression of idiopathic pulmonary fibrosis. Bioorganic Chemistry. 94. 103417–103417. 17 indexed citations
17.
Wang, Ying, Baichun Hu, Yusheng Peng, et al.. (2019). In Silico Exploration of the Molecular Mechanism of Cassane Diterpenoids on Anti-inflammatory and Immunomodulatory Activity. Journal of Chemical Information and Modeling. 59(5). 2309–2323. 14 indexed citations
18.
He, Xi, Wei Yang, Sijia Li, et al.. (2018). An amino-functionalized magnetic framework composite of type Fe3O4-NH2@MIL-101(Cr) for extraction of pyrethroids coupled with GC-ECD. Microchimica Acta. 185(2). 125–125. 42 indexed citations
19.
Yuan, Lei, Jun Liu, Wenhui He, et al.. (2018). Discovery of a novel cathepsin inhibitor with dual autophagy-inducing and metastasis-inhibiting effects on breast cancer cells. Bioorganic Chemistry. 84. 239–253. 12 indexed citations
20.
Ma, Chao, Baichun Hu, Linkui Zhang, et al.. (2018). Computational investigation of the antagonism effect towards GluN2B-Containing NMDA receptor: Combined ligand-based and target-based approach. Journal of Molecular Graphics and Modelling. 86. 95–105. 5 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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