Mao-wen Weng

752 total citations
8 papers, 537 citations indexed

About

Mao-wen Weng is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Mao-wen Weng has authored 8 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Cancer Research and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Mao-wen Weng's work include Carcinogens and Genotoxicity Assessment (7 papers), Genomics, phytochemicals, and oxidative stress (4 papers) and DNA Repair Mechanisms (2 papers). Mao-wen Weng is often cited by papers focused on Carcinogens and Genotoxicity Assessment (7 papers), Genomics, phytochemicals, and oxidative stress (4 papers) and DNA Repair Mechanisms (2 papers). Mao-wen Weng collaborates with scholars based in United States, Taiwan and China. Mao-wen Weng's co-authors include Moon-shong Tang, Xue‐Ru Wu, Hyun‐Wook Lee, Hsiang‐Tsui Wang, William C. Huang, Herbert Lepor, Lung‐Chi Chen, Sung‐Hyun Park, William N. Rom and Yu Hu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Carcinogenesis and Oncotarget.

In The Last Decade

Mao-wen Weng

8 papers receiving 524 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mao-wen Weng United States	8	224	171	125	101	51	8	537
Andrew W. Caliri United States	6	197 0.9×	126 0.7×	71 0.6×	63 0.6×	69 1.4×	7	554
Tahereh Setayesh Austria	13	251 1.1×	99 0.6×	155 1.2×	129 1.3×	22 0.4×	25	579
Mary M. Brown Canada	13	187 0.8×	58 0.3×	235 1.9×	98 1.0×	54 1.1×	31	609
Frazer Lowe United Kingdom	16	154 0.7×	304 1.8×	110 0.9×	195 1.9×	82 1.6×	25	598
Taeko Suzuki Japan	14	186 0.8×	103 0.6×	44 0.4×	67 0.7×	34 0.7×	50	574
Lidia Daimiel Spain	16	330 1.5×	109 0.6×	297 2.4×	31 0.3×	19 0.4×	35	744
Joseph A. Cichocki United States	13	104 0.5×	50 0.3×	90 0.7×	87 0.9×	38 0.7×	23	398
Nai‐Chieh Y. You United States	12	178 0.8×	49 0.3×	60 0.5×	131 1.3×	21 0.4×	16	532
Zhaoming Xu Canada	13	151 0.7×	59 0.3×	42 0.3×	93 0.9×	15 0.3×	25	591
John Tuckey New Zealand	8	133 0.6×	102 0.6×	40 0.3×	54 0.5×	65 1.3×	11	446

Countries citing papers authored by Mao-wen Weng

Since Specialization

Citations

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

Fields of papers citing papers by Mao-wen Weng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mao-wen Weng. 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 Mao-wen Weng. The network helps show where Mao-wen Weng may publish in the future.

Co-authorship network of co-authors of Mao-wen Weng

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

All Works

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8 of 8 papers shown

Weng, Mao-wen, Hyun‐Wook Lee, Sung‐Hyun Park, et al.. (2018). Aldehydes are the predominant forces inducing DNA damage and inhibiting DNA repair in tobacco smoke carcinogenesis. Proceedings of the National Academy of Sciences. 115(27). E6152–E6161. 89 indexed citations

Lee, Hyun‐Wook, Sung‐Hyun Park, Mao-wen Weng, et al.. (2018). E-cigarette smoke damages DNA and reduces repair activity in mouse lung, heart, and bladder as well as in human lung and bladder cells. Proceedings of the National Academy of Sciences. 115(7). E1560–E1569. 237 indexed citations

Weng, Mao-wen, Hyun‐Wook Lee, Bongkun Choi, et al.. (2017). AFB1 hepatocarcinogenesis is via lipid peroxidation that inhibits DNA repair, sensitizes mutation susceptibility and induces aldehyde-DNA adducts at p53 mutational hotspot codon 249. Oncotarget. 8(11). 18213–18226. 42 indexed citations

Lee, Hyun‐Wook, Hsiang‐Tsui Wang, Mao-wen Weng, et al.. (2015). Cigarette side-stream smoke lung and bladder carcinogenesis: inducing mutagenic acrolein-DNA adducts, inhibiting DNA repair and enhancing anchorage-independent-growth cell transformation. Oncotarget. 6(32). 33226–33236. 47 indexed citations

Lee, Hyun‐Wook, Hsiang‐Tsui Wang, Mao-wen Weng, et al.. (2014). Acrolein- and 4-Aminobiphenyl-DNA adducts in human bladder mucosa and tumor tissue and their mutagenicity in human urothelial cells. Oncotarget. 5(11). 3526–3540. 53 indexed citations

Wang, Hsiang‐Tsui, Mao-wen Weng, Wen‐Chi Chen, et al.. (2012). Effect of CpG methylation at different sequence context on acrolein- and BPDE-DNA binding and mutagenesis. Carcinogenesis. 34(1). 220–227. 35 indexed citations

Weng, Mao-wen, Chung-Ping Hsu, Chih‐Yi Chen, et al.. (2005). Alternative splicing ofMDM2 mRNA in lung carcinomas and lung cell lines. Environmental and Molecular Mutagenesis. 46(1). 1–11. 18 indexed citations

Weng, Mao-wen, Yi-Min Hsiao, Hui‐Ling Chiou, et al.. (2005). Alleviation of benzo[a]pyrene-diolepoxide-DNA damage in human lung carcinoma by glutathione S-transferase M2. DNA repair. 4(4). 493–502. 16 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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