Baohui Qi

498 total citations
26 papers, 430 citations indexed

About

Baohui Qi is a scholar working on Molecular Biology, Organic Chemistry and Hepatology. According to data from OpenAlex, Baohui Qi has authored 26 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 5 papers in Organic Chemistry and 5 papers in Hepatology. Recurrent topics in Baohui Qi's work include PI3K/AKT/mTOR signaling in cancer (7 papers), Liver physiology and pathology (4 papers) and Cancer therapeutics and mechanisms (4 papers). Baohui Qi is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (7 papers), Liver physiology and pathology (4 papers) and Cancer therapeutics and mechanisms (4 papers). Baohui Qi collaborates with scholars based in China, Hong Kong and United Kingdom. Baohui Qi's co-authors include Huan He, Guowei Gong, Ping Gong, Liping Hu, Xiaomeng Song, Fei Wang, Yuting Zhou, Mengmeng Fan, Karl Wah Keung Tsim and Yuzhong Zheng and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Fuel and Journal of Ethnopharmacology.

In The Last Decade

Baohui Qi

24 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Baohui Qi China 13 236 179 63 49 48 26 430
Jiaru Wang China 13 194 0.8× 48 0.3× 63 1.0× 35 0.7× 38 0.8× 38 457
Koji Ochiai Japan 16 183 0.8× 132 0.7× 46 0.7× 54 1.1× 31 0.6× 38 554
Guangxin Xia China 12 187 0.8× 101 0.6× 46 0.7× 17 0.3× 8 0.2× 30 331
Rangxiao Zhuang China 12 143 0.6× 65 0.4× 64 1.0× 38 0.8× 31 0.6× 33 344
Xinjia He China 15 190 0.8× 30 0.2× 75 1.2× 16 0.3× 52 1.1× 32 518
Jianjun Xi China 11 142 0.6× 38 0.2× 63 1.0× 50 1.0× 30 0.6× 35 348
Weili Min China 17 299 1.3× 42 0.2× 132 2.1× 12 0.2× 41 0.9× 26 591
Vikas Garg India 10 151 0.6× 57 0.3× 73 1.2× 4 0.1× 40 0.8× 36 419
Zhong-Hai Zhou China 12 152 0.6× 30 0.2× 58 0.9× 11 0.2× 15 0.3× 19 354
Fei Yao China 12 170 0.7× 40 0.2× 60 1.0× 6 0.1× 28 0.6× 20 360

Countries citing papers authored by Baohui Qi

Since Specialization
Citations

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

Fields of papers citing papers by Baohui Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baohui Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Baohui Qi. A scholar is included among the top collaborators of Baohui Qi 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 Baohui Qi. Baohui Qi 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.
Ma, Fangli, et al.. (2025). Allosteric inhibitors for the treatment of cancers (2021-): A review from medicinal chemistry perspectives. Journal of Molecular Structure. 1344. 142985–142985.
2.
Guo, Xin, Zhiyuan Wang, Siqi Jiang, et al.. (2024). Inductive effect in amino functionalized ionic liquids modified TS-1 nanosheets for efficiently sunlight-driven CO2 reduction. Fuel. 367. 131504–131504. 10 indexed citations
3.
Qi, Baohui, Xingjian Chen, Jingjing Pi, et al.. (2024). Vapor–Liquid Equilibrium of 1,3,5-Trioxane + Formaldehyde + Water System Based on Salt Effect. Journal of Chemical & Engineering Data. 69(12). 4430–4437.
4.
Hu, Liping, et al.. (2023). Identification of novel aminopyrimidine derivatives for the treatment of mutant NSCLC. European Journal of Medicinal Chemistry. 265. 116074–116074. 9 indexed citations
5.
Fan, Mengmeng, et al.. (2023). Design, synthesis and biological evaluation of EGFR kinase inhibitors that spans the orthosteric and allosteric sites. Bioorganic & Medicinal Chemistry. 96. 117534–117534. 7 indexed citations
6.
7.
Li, Xiong, Huan He, Mengmeng Fan, et al.. (2022). Discovery of novel conjugates of quinoline and thiazolidinone urea as potential anti-colorectal cancer agent. Journal of Enzyme Inhibition and Medicinal Chemistry. 37(1). 2334–2347. 4 indexed citations
8.
Gong, Guowei, Yuzhong Zheng, Baohui Qi, et al.. (2020). Astragaloside IV, a saponin from Astragalus membranaceus var. mongholicus, induces expressions of heme recycle proteins via signaling of Nrf2/ARE in cultured macrophages. Journal of Ethnopharmacology. 265. 113389–113389. 6 indexed citations
9.
10.
Zhou, Yuting, Xingwei Xu, Fei Wang, et al.. (2020). Identification of novel quinoline analogues bearing thiazolidinones as potent kinase inhibitors for the treatment of colorectal cancer. European Journal of Medicinal Chemistry. 204. 112643–112643. 21 indexed citations
11.
Gong, Guowei, Jing Huang, Yang Yang, et al.. (2020). Saussureae Involucratae Herba (Snow Lotus): Review of Chemical Compositions and Pharmacological Properties. Frontiers in Pharmacology. 10. 1549–1549. 20 indexed citations
12.
Gong, Guowei, Yuzhong Zheng, Weihui Hu, et al.. (2019). The effect of methanol extract from Saussurea involucrata in the lipopolysaccharide-stimulated inflammation in cultured RAW 264.7 cells. Journal of Ethnopharmacology. 251. 112532–112532. 23 indexed citations
13.
Qi, Baohui, Xingwei Xu, Ying Yang, et al.. (2019). Discovery of thiazolidin-4-one urea analogues as novel multikinase inhibitors that potently inhibit FLT3 and VEGFR2. Bioorganic & Medicinal Chemistry. 27(10). 2127–2139. 16 indexed citations
14.
Gong, Guowei, Baohui Qi, Tina T. X. Dong, et al.. (2019). Danggui Buxue Tang, an ancient Chinese herbal decoction, protects β-amyloid-induced cell death in cultured cortical neurons. BMC Complementary and Alternative Medicine. 19(1). 9–9. 33 indexed citations
15.
Qi, Baohui, Xingwei Xu, Ying Yang, Huan He, & Xupeng Yue. (2019). Optimization and biological evaluation of nicotinamide derivatives as Aurora kinase inhibitors. Bioorganic & Medicinal Chemistry. 27(17). 3825–3835. 4 indexed citations
16.
Qi, Baohui, Ying Yang, Huan He, et al.. (2018). Identification of novel N-(2-aryl-1, 3-thiazolidin-4-one)-N-aryl ureas showing potent multi-tyrosine kinase inhibitory activities. European Journal of Medicinal Chemistry. 146. 368–380. 38 indexed citations
17.
Wang, Yarong, Shining Cai, Liang Deng, et al.. (2015). Separation and purification of five alkaloids from Aconitum duclouxii by counter‐current chromatography. Journal of Separation Science. 38(13). 2320–2326. 7 indexed citations
18.
19.
Qi, Baohui, et al.. (2013). Discovery and optimization of novel 4-phenoxy-6,7-disubstituted quinolines possessing semicarbazones as c-Met kinase inhibitors. Bioorganic & Medicinal Chemistry. 21(17). 5246–5260. 48 indexed citations
20.
Jiang, Nan, Xin Zhai, Yanfang Zhao, et al.. (2012). Synthesis and biological evaluation of novel 2-(2-arylmethylene)hydrazinyl-4-aminoquinazoline derivatives as potent antitumor agents. European Journal of Medicinal Chemistry. 54. 534–541. 25 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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