Dawei Ma

27.3k total citations · 8 hit papers
416 papers, 22.9k citations indexed

About

Dawei Ma is a scholar working on Organic Chemistry, Molecular Biology and Pharmacology. According to data from OpenAlex, Dawei Ma has authored 416 papers receiving a total of 22.9k indexed citations (citations by other indexed papers that have themselves been cited), including 299 papers in Organic Chemistry, 138 papers in Molecular Biology and 43 papers in Pharmacology. Recurrent topics in Dawei Ma's work include Catalytic C–H Functionalization Methods (114 papers), Catalytic Cross-Coupling Reactions (96 papers) and Chemical Synthesis and Analysis (73 papers). Dawei Ma is often cited by papers focused on Catalytic C–H Functionalization Methods (114 papers), Catalytic Cross-Coupling Reactions (96 papers) and Chemical Synthesis and Analysis (73 papers). Dawei Ma collaborates with scholars based in China, United States and Germany. Dawei Ma's co-authors include Qian Cai, Yongwen Jiang, Wei Zhu, Weiwei Zi, Zhiwei Zuo, Weiqing Xie, Mengyang Fan, Shouyun Yu, Benli Zou and Junying Yuan and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Dawei Ma

405 papers receiving 22.5k citations

Hit Papers

A Selective Inhibitor of eIF2α Dephosphorylation Protects... 2005 2026 2012 2019 2005 2008 2011 2017 2005 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dawei Ma China 74 17.1k 5.8k 2.1k 1.4k 1.2k 416 22.9k
William Roush United States 66 12.7k 0.7× 6.6k 1.1× 1.4k 0.6× 968 0.7× 1.9k 1.5× 406 18.9k
Gary H. Posner United States 60 8.5k 0.5× 5.0k 0.9× 842 0.4× 646 0.5× 624 0.5× 363 15.4k
Paul A. Wender United States 83 13.3k 0.8× 10.5k 1.8× 1.2k 0.6× 208 0.2× 1.8k 1.5× 361 24.5k
Jonathan A. Ellman United States 96 27.7k 1.6× 10.0k 1.7× 6.6k 3.1× 472 0.3× 904 0.7× 354 33.9k
John A. Porco United States 62 8.4k 0.5× 4.9k 0.8× 820 0.4× 230 0.2× 1.6k 1.3× 248 13.3k
Stephen Hanessian Canada 65 14.5k 0.9× 9.2k 1.6× 1.5k 0.7× 292 0.2× 1.9k 1.5× 571 19.1k
Iwao Ojima United States 67 11.5k 0.7× 5.8k 1.0× 3.3k 1.5× 352 0.3× 1.5k 1.2× 455 19.3k
John A. Katzenellenbogen United States 90 7.5k 0.4× 12.0k 2.1× 740 0.3× 565 0.4× 1.9k 1.5× 629 33.8k
Dale L. Boger United States 92 20.4k 1.2× 14.6k 2.5× 1.2k 0.6× 477 0.4× 8.1k 6.5× 639 34.2k
Motomu Kanai Japan 89 20.3k 1.2× 4.8k 0.8× 6.4k 3.0× 290 0.2× 692 0.6× 427 23.7k

Countries citing papers authored by Dawei Ma

Since Specialization
Citations

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

Fields of papers citing papers by Dawei Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dawei Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Dawei Ma. A scholar is included among the top collaborators of Dawei Ma 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 Dawei Ma. Dawei Ma 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, Dawei, Xinhe Wang, Xiufang Cui, et al.. (2025). (La1/5Nd1/5Eu1/5Y1/5Gd1/5)Zr2O7 high entropy thermal barrier coating enables long thermal cyclic lifetime. Ceramics International. 51(25). 46657–46667. 1 indexed citations
2.
Wang, Tongkun, et al.. (2025). Enantioselective Assembly of (Hetero)aryl Alkyl Sulfilimines via Copper-Catalyzed S-Arylation of S-Alkyl Sulfenamides with (Hetero)aryl Iodides. Journal of the American Chemical Society. 147(37). 34126–34131. 4 indexed citations
3.
Jin, Xiaodong, et al.. (2025). An explainable transfer learning approach to predict carbon emission intensity of coal-fired power plants with multi-source monitoring data. Expert Systems with Applications. 298. 129743–129743. 1 indexed citations
4.
Yang, Bowen, Yuan Tian, Yang Zhou, et al.. (2025). Discovery of BW710 as a potent, selective and orally bioavailable fibroblast growth factor receptor 2 (FGFR2) inhibitor. European Journal of Medicinal Chemistry. 287. 117339–117339. 2 indexed citations
5.
Zhang, Hongjin, Jianbo Wu, Ying Zhang, et al.. (2024). Design, synthesis and evaluation of thieno[3,2-d]pyrimidine derivatives as novel potent CDK7 inhibitors. Bioorganic Chemistry. 148. 107456–107456. 3 indexed citations
6.
Yang, Chengshuai, Yan Wang, Zhen Su, et al.. (2024). Biosynthesis of the highly oxygenated tetracyclic core skeleton of Taxol. Nature Communications. 15(1). 2339–2339. 33 indexed citations
7.
Ran, Ke, Yang Zhou, Shaohua Chang, et al.. (2024). Discovery of LHQ490 as a highly selective fibroblast growth factor receptor 2 (FGFR2) inhibitor. European Journal of Medicinal Chemistry. 272. 116473–116473. 4 indexed citations
8.
Meng, Qingyuan, Weixue Huang, Meiru Song, et al.. (2024). Design and Synthesis of Novel Macrocyclic Derivatives as Potent and Selective Cyclin-Dependent Kinase 7 Inhibitors. Journal of Medicinal Chemistry. 67(8). 6099–6118. 4 indexed citations
10.
Xu, Lanting, et al.. (2024). 6‐Hydroxy Picolinohydrazides Promoted Cu(I)‐Catalyzed Hydroxylation Reaction in Water: Machine‐Learning Accelerated Ligands Design and Reaction Optimization. Angewandte Chemie International Edition. 63(52). e202412552–e202412552. 7 indexed citations
11.
Li, Fangyi, et al.. (2024). Optimization of configuration and operation of shared energy storage facilities invested by conventional coal-fired power plants. Journal of Energy Storage. 84. 110905–110905. 6 indexed citations
12.
Meng, Qingyuan, et al.. (2024). Discovery of novel macrocyclic derivatives as potent and selective cyclin-dependent kinase 2 inhibitors. Bioorganic & Medicinal Chemistry. 104. 117711–117711. 6 indexed citations
15.
Huang, Xing, Yutao Li, Xiaochen Huang, et al.. (2023). A novel transcriptomic signature associated with lymphovascular invasion predicts clinical outcomes, tumor microenvironment, and therapeutic response in lung adenocarcinoma. International Immunopharmacology. 127. 111286–111286. 5 indexed citations
16.
Wu, Li, Junjie Wang, & Dawei Ma. (2019). The Total Synthesis of ent-Kaurane Diterpenoids. Huaxue jinzhan. 31(11). 1460. 10 indexed citations
17.
Kanwar, Nisha, et al.. (2010). PIM Kinase Inhibitors Downregulate STAT3Tyr705 Phosphorylation. Molecular Cancer Therapeutics. 9(9). 2478–2487. 43 indexed citations
18.
Ma, Dawei, et al.. (2010). Total synthesis of antimicrobial and antitumor cyclic depsipeptides. Chemical Communications. 46(30). 5403–5403. 31 indexed citations
19.
Ma, Dawei, Jidong Zhu, Shouyun Yu, & Xianhua Pan. (2005). Synthetic Studies toward Two Marine Cyclic Peptides. 2004. 71–74.
20.
Ma, Dawei, et al.. (1998). Synthesis and biological evaluation of two analogues of (S)-α-methyl-3-carboxyphenylalanine. Bioorganic & Medicinal Chemistry Letters. 8(18). 2447–2450. 8 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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