Meng-Wei Lin

14 total papers · 724 total citations
12 papers, 649 citations indexed

About

Meng-Wei Lin is a scholar working on Molecular Biology, Epidemiology and Plant Science. According to data from OpenAlex, Meng-Wei Lin has authored 12 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Epidemiology and 4 papers in Plant Science. Recurrent topics in Meng-Wei Lin's work include Autophagy in Disease and Therapy (4 papers), Chemotherapy-induced organ toxicity mitigation (2 papers) and MicroRNA in disease regulation (2 papers). Meng-Wei Lin is often cited by papers focused on Autophagy in Disease and Therapy (4 papers), Chemotherapy-induced organ toxicity mitigation (2 papers) and MicroRNA in disease regulation (2 papers). Meng-Wei Lin collaborates with scholars based in Taiwan, Japan and United States. Meng-Wei Lin's co-authors include Jai‐Sing Yang, Jing‐Gung Chung, Jo‐Hua Chiang, Wen-Wen Huang, Shih-Chang Tsai, Kuang‐Chi Lai, Te‐Chun Hsia, Chi‐Cheng Lu, An-Cheng Huang and Sakae Amagaya and has published in prestigious journals such as PLoS ONE, Journal of Pharmacology and Experimental Therapeutics and Food and Chemical Toxicology.

In The Last Decade

Meng-Wei Lin

12 papers receiving 639 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Meng-Wei Lin	374	156	122	102	82	12	649
Wen-Wen Huang	468 1.3×	91 0.6×	89 0.7×	102 1.0×	60 0.7×	19	697
Siu‐Wan Ip	409 1.1×	162 1.0×	54 0.4×	151 1.5×	54 0.7×	14	788
Yi-Shih Ma	424 1.1×	107 0.7×	44 0.4×	96 0.9×	60 0.7×	14	735
Jun-Shan Liu	483 1.3×	62 0.4×	106 0.9×	99 1.0×	81 1.0×	25	726
Yewseok Suh	379 1.0×	75 0.5×	52 0.4×	105 1.0×	42 0.5×	14	661
Senping Cheng	366 1.0×	127 0.8×	101 0.8×	86 0.8×	21 0.3×	16	770
Chia-Yu Ma	407 1.1×	178 1.1×	38 0.3×	163 1.6×	46 0.6×	10	679
Srishti Mishra	392 1.0×	113 0.7×	42 0.3×	150 1.5×	59 0.7×	14	779
Wenshan Xu	509 1.4×	57 0.4×	70 0.6×	86 0.8×	71 0.9×	16	719
Hsiu‐Maan Kuo	370 1.0×	101 0.6×	31 0.3×	134 1.3×	53 0.6×	12	681

Countries citing papers authored by Meng-Wei Lin

Since Specialization

Citations

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

Fields of papers citing papers by Meng-Wei Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng-Wei Lin

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

All Works

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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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