Aijun Lu

449 total citations
12 papers, 193 citations indexed

About

Aijun Lu is a scholar working on Molecular Biology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Aijun Lu has authored 12 papers receiving a total of 193 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Organic Chemistry and 4 papers in Computational Theory and Mathematics. Recurrent topics in Aijun Lu's work include Computational Drug Discovery Methods (4 papers), Synthesis and biological activity (3 papers) and Cancer therapeutics and mechanisms (2 papers). Aijun Lu is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Synthesis and biological activity (3 papers) and Cancer therapeutics and mechanisms (2 papers). Aijun Lu collaborates with scholars based in China and Poland. Aijun Lu's co-authors include Yongqiang Zhu, Yonghui Liu, Sheng Wang, Qidong You, Yuyan Li, Hualiang Jiang, Meng Lei, Xiaomin Luo, Qingzhi Gao and Gang Wu and has published in prestigious journals such as Journal of Medicinal Chemistry, European Journal of Medicinal Chemistry and Bioorganic & Medicinal Chemistry Letters.

In The Last Decade

Aijun Lu

11 papers receiving 191 citations

Peers

Aijun Lu

MB

OC

ONCOL

CTM

TOXIC

James E. H. Day United Kingdom

Anke Mueller‐Fahrnow France

Christopher M. McBride United States

Rufine Akué‐Gédu France

Paola Oliva Italy

Davide Bonanni Italy

Domenico Alloatti Italy

Mona S. El‐Zoghbi Egypt

Shuqun Lin United States

Soon Hyung Woo United States

James E. H. Day United Kingdom

Aijun Lu

167 ×1.3

MB

88 ×1.0

OC

27 ×0.6

ONCOL

42 ×1.3

CTM

17 ×0.9

TOXIC

Citations per year, relative to Aijun Lu Aijun Lu (= 1×) peers James E. H. Day

Countries citing papers authored by Aijun Lu

Since Specialization

Citations

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

Fields of papers citing papers by Aijun Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aijun Lu

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

All Works

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12 of 12 papers shown

1.

Li, Tianwen, et al.. (2012). Multi-substituted N-phenyl-2, 2-dichloroacetamide analogues as anti-cancer drugs: design, synthesis and biological evaluation.. PubMed. 47(3). 354–63. 3 indexed citations

2.

Lu, Aijun, et al.. (2011). Design, synthesis and docking studies on benzamide derivatives as histone deacetylase inhibitors. Bioorganic & Medicinal Chemistry Letters. 21(16). 4924–4927. 16 indexed citations

3.

Cheng, Changmei, Dongchun Wang, Feng Zhang, et al.. (2010). Novel N-phenyl dichloroacetamide derivatives as anticancer reagents: Design, synthesis and biological evaluation. European Journal of Medicinal Chemistry. 45(9). 4300–4306. 34 indexed citations

4.

Zhu, Yongqiang, Gang Wu, Yuheng Ma, et al.. (2010). Synthesis, in Vitro and in Vivo Biological Evaluation, Docking Studies, and Structure−Activity Relationship (SAR) Discussion of Dipeptidyl Boronic Acid Proteasome Inhibitors Composed of β-Amino Acids. Journal of Medicinal Chemistry. 53(5). 1990–1999. 33 indexed citations

5.

Wang, Sheng, Yuyan Li, Yonghui Liu, Aijun Lu, & Qidong You. (2008). Novel hexacyclic camptothecin derivatives. Part 1: Synthesis and cytotoxicity of camptothecins with an A-ring fused 1,3-oxazine ring. Bioorganic & Medicinal Chemistry Letters. 18(14). 4095–4097. 35 indexed citations

6.

Zhu, Yongqiang, et al.. (2008). 3D-QSAR studies of boron-containing dipeptides as proteasome inhibitors with CoMFA and CoMSIA methods. European Journal of Medicinal Chemistry. 44(4). 1486–1499. 32 indexed citations

7.

Lu, Aijun, et al.. (2007). 3D-QSAR study of 20 (S)-camptothecin analogs. Acta Pharmacologica Sinica. 28(2). 307–314. 17 indexed citations

8.

Lu, Aijun, et al.. (2006). Farnesyltransferase pharmacophore model derived from diverse classes of inhibitors. Bioorganic & Medicinal Chemistry Letters. 17(1). 243–249. 12 indexed citations

9.

Liu, Haibo, et al.. (2005). [Exploring relationship between traditional effects of traditional Chinese medicine and modern pharmacological activities by "co-effect compounds"].. PubMed. 30(1). 75–8. 1 indexed citations

10.

Lu, Aijun & Jiaju Zhou. (2004). Pseudoreceptor Models and 3D-QSAR for Imidazobenzodiazepines at GABA_A/BzR Subtypes α_xβ₃γ₂ [x = 1−3, 5, and 6] via Flexible Atom Receptor Model. Journal of Chemical Information and Computer Sciences. 44(3). 1130–1136. 8 indexed citations

11.

Liu, Z., Junhao Zhou, BioChem Press, et al.. (2004). New Diversity Criterion and Database Compression Method. 1 indexed citations

12.

Press, BioChem, et al.. (2004). A Traditional Chinese Medicine Plant-Compound Database and Its Application for Searching #. 1 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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