Shengzhou Wu

55 total papers · 914 total citations
38 papers, 696 citations indexed

About

Shengzhou Wu is a scholar working on Molecular Biology, Biochemistry and Physiology. According to data from OpenAlex, Shengzhou Wu has authored 38 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 17 papers in Biochemistry and 9 papers in Physiology. Recurrent topics in Shengzhou Wu's work include Amino Acid Enzymes and Metabolism (17 papers), Epigenetics and DNA Methylation (10 papers) and Alzheimer's disease research and treatments (8 papers). Shengzhou Wu is often cited by papers focused on Amino Acid Enzymes and Metabolism (17 papers), Epigenetics and DNA Methylation (10 papers) and Alzheimer's disease research and treatments (8 papers). Shengzhou Wu collaborates with scholars based in China, United States and Thailand. Shengzhou Wu's co-authors include Steven W. Barger, Anthony S. Basile, Angela M. Bodles, W. Sue T. Griffin, He Zhang, Haiyan Jiang, Jia Qu, Jingjing Cai, Lin Sun and Terry J. Sims and has published in prestigious journals such as PLoS ONE, Brain Research and Annals of the New York Academy of Sciences.

In The Last Decade

Shengzhou Wu

35 papers receiving 693 citations

Author Peers

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

Author						Papers	Cites
Shengzhou Wu	338	301	194	118	107	38	696
Dorte M. Skytt	364 1.1×	44 0.1×	239 1.2×	92 0.8×	175 1.6×	17	585
Young‐Sook Kang	261 0.8×	88 0.3×	87 0.4×	89 0.8×	15 0.1×	15	701
Chintan Patel	262 0.8×	56 0.2×	79 0.4×	123 1.0×	174 1.6×	26	638
Yuriy Kucheryavykh	458 1.4×	67 0.2×	378 1.9×	114 1.0×	16 0.1×	28	779
I Klisak	405 1.2×	76 0.3×	59 0.3×	80 0.7×	17 0.2×	19	682
Akiko Yamamuro	222 0.7×	22 0.1×	223 1.1×	69 0.6×	35 0.3×	25	669
Lan N. Tu	416 1.2×	22 0.1×	122 0.6×	117 1.0×	16 0.1×	34	758
Rosa Guarneri	304 0.9×	28 0.1×	220 1.1×	87 0.7×	72 0.7×	36	594
Fang Liu	357 1.1×	26 0.1×	137 0.7×	55 0.5×	43 0.4×	31	625
Yulia Baburina	450 1.3×	43 0.1×	60 0.3×	115 1.0×	10 0.1×	50	633

Countries citing papers authored by Shengzhou Wu

Since Specialization

Citations

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

Fields of papers citing papers by Shengzhou Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengzhou Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Shengzhou Wu. A scholar is included among the top collaborators of Shengzhou Wu 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 Shengzhou Wu. Shengzhou Wu 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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