Meng Lei

546 total citations
26 papers, 446 citations indexed

About

Meng Lei is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Meng Lei has authored 26 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 16 papers in Oncology and 5 papers in Hematology. Recurrent topics in Meng Lei's work include Ubiquitin and proteasome pathways (16 papers), Peptidase Inhibition and Analysis (12 papers) and Multiple Myeloma Research and Treatments (5 papers). Meng Lei is often cited by papers focused on Ubiquitin and proteasome pathways (16 papers), Peptidase Inhibition and Analysis (12 papers) and Multiple Myeloma Research and Treatments (5 papers). Meng Lei collaborates with scholars based in China, United States and Taiwan. Meng Lei's co-authors include Yongqiang Zhu, Xiao Du, Xueyuan Wang, Yanru Qin, Haoyang Zhang, Fengyi Zhao, Mengtao Ma, Mengyi Zhou, Fuliang Cao and Zhaogang Liu and has published in prestigious journals such as Journal of Medicinal Chemistry, Carbohydrate Polymers and RSC Advances.

In The Last Decade

Meng Lei

26 papers receiving 439 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meng Lei China 12 219 149 141 78 59 26 446
Tarun Patel India 14 200 0.9× 108 0.7× 139 1.0× 62 0.8× 54 0.9× 38 439
Akinobu Kurita Japan 13 305 1.4× 191 1.3× 101 0.7× 86 1.1× 32 0.5× 26 539
Lei Hu China 14 255 1.2× 66 0.4× 298 2.1× 109 1.4× 64 1.1× 49 667
Ada W.Y. Leung Canada 17 300 1.4× 275 1.8× 174 1.2× 137 1.8× 95 1.6× 30 720
Lijing Fang China 16 424 1.9× 112 0.8× 236 1.7× 44 0.6× 64 1.1× 58 750
Valentina Gambini Italy 11 296 1.4× 107 0.7× 95 0.7× 151 1.9× 105 1.8× 11 546
Janet G. Yang United States 9 338 1.5× 111 0.7× 76 0.5× 68 0.9× 40 0.7× 13 558
Amir Ata Saei Sweden 13 283 1.3× 94 0.6× 60 0.4× 46 0.6× 87 1.5× 26 556
Virginia del Solar Spain 14 162 0.7× 98 0.7× 282 2.0× 39 0.5× 29 0.5× 24 440

Countries citing papers authored by Meng Lei

Since Specialization
Citations

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

Fields of papers citing papers by Meng Lei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Lei

This figure shows the co-authorship network connecting the top 25 collaborators of Meng Lei. A scholar is included among the top collaborators of Meng Lei 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 Meng Lei. Meng Lei 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, Tianyu, Xueyuan Wang, Meng Lei, et al.. (2024). Synergistic effects of photodynamic therapy and chemotherapy: Activating the intrinsic/extrinsic apoptotic pathway of anoikis for triple-negative breast cancer treatment. Biomaterials Advances. 160. 213859–213859. 10 indexed citations
2.
Qin, Yanru, D. Shao, Qinghua Chen, et al.. (2024). Discovery of SZJK-0421: A Novel Potent, Low Toxicity, Selective Second Generation of CRM1 Inhibitor for the Treatment of Both Hematological and Solid Tumors. Journal of Medicinal Chemistry. 67(22). 20595–20618. 1 indexed citations
4.
Zhang, Wen, et al.. (2023). Design and discovery of novel dipeptide boronic acid ester proteasome inhibitors, an oral slowly-released prodrug for the treatment of multiple myeloma. European Journal of Medicinal Chemistry. 250. 115187–115187. 7 indexed citations
5.
Lei, Meng, et al.. (2022). Discovery of a new class of valosine containing protein (VCP/P97) inhibitors for the treatment of colorectal cancer. Bioorganic & Medicinal Chemistry. 74. 117050–117050. 6 indexed citations
6.
Yang, Xu, Lin Yang, Jia Wang, et al.. (2022). Preclinical Pharmacokinetics, Tissue Distribution and in vitro Metabolism of FHND6091, a Novel Oral Proteasome Inhibitor. Drug Design Development and Therapy. Volume 16. 3087–3107. 4 indexed citations
7.
Zhang, Wen, Haoyang Zhang, Yang Lin, et al.. (2021). Discovery of novel tripeptide propylene oxide proteasome inhibitors for the treatment of multiple myeloma. Bioorganic & Medicinal Chemistry. 40. 116182–116182. 2 indexed citations
8.
Wu, Chao, Meng Lei, Qing Yan, et al.. (2021). Anti-tumor activity of a novel proteasome inhibitor D395 against multiple myeloma and its lower cardiotoxicity compared with carfilzomib. Cell Death and Disease. 12(5). 429–429. 5 indexed citations
9.
Zhang, Yin, Meng Lei, Yanru Qin, et al.. (2021). Development of oral curcumin based on pH-responsive transmembrane peptide-cyclodextrin derivative nanoparticles for hepatoma. Carbohydrate Polymers. 277. 118892–118892. 34 indexed citations
10.
Zhou, Hui, Meng Lei, Wang Wang, et al.. (2020). <i>In vitro</i> and <i>in vivo</i> efficacy of the novel oral proteasome inhibitor NNU546 in multiple myeloma. Aging. 12(22). 22949–22974. 4 indexed citations
11.
Lei, Meng, Haoyang Zhang, Xiao Du, et al.. (2019). Preparation and biological evaluation of soluble tetrapeptide epoxyketone proteasome inhibitors. Bioorganic & Medicinal Chemistry. 27(18). 4151–4162. 6 indexed citations
13.
Zhao, Fengyi, Weifan Wang, Wen Lu, et al.. (2018). High anticancer potency on tumor cells of dehydroabietylamine Schiff-base derivatives and a copper(II) complex. European Journal of Medicinal Chemistry. 146. 451–459. 68 indexed citations
14.
Zhou, Hui, Yanru Qin, Zhaogang Liu, et al.. (2018). Discovery of a new class of valosine containing protein (VCP/P97) inhibitors for the treatment of non-small cell lung cancer. Bioorganic & Medicinal Chemistry. 27(3). 533–544. 13 indexed citations
15.
Cao, Duo, Lin Liang, Yixin Xu, et al.. (2018). Tumor associated macrophages and angiogenesis dual-recognizable nanoparticles for enhanced cancer chemotherapy. Nanomedicine Nanotechnology Biology and Medicine. 14(3). 651–659. 10 indexed citations
17.
Zhang, Haoyang, Chao Feng, Zhaogang Liu, et al.. (2017). Design, synthesis, SAR discussion, in vitro and in vivo evaluation of novel selective EGFR modulator to inhibit L858R/T790M double mutants. European Journal of Medicinal Chemistry. 135. 12–23. 36 indexed citations
18.
Lei, Meng, Jia Wang, Shanshan Chen, et al.. (2016). Design, synthesis and docking studies of novel dipeptidyl boronic acid proteasome inhibitors constructed from αα- and αβ-amino acids. Bioorganic & Medicinal Chemistry Letters. 26(8). 1958–1962. 10 indexed citations
19.
Lei, Meng, Cheng Wang, Hailing Li, et al.. (2016). 3D-QSAR-aided design, synthesis, in vitro and in vivo evaluation of dipeptidyl boronic acid proteasome inhibitors and mechanism studies. Bioorganic & Medicinal Chemistry. 24(11). 2576–2588. 11 indexed citations
20.
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

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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