Sheng Wu

26 total papers · 731 total citations
20 papers, 624 citations indexed

About

Sheng Wu is a scholar working on Molecular Biology, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Sheng Wu has authored 20 papers receiving a total of 624 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 6 papers in Biomedical Engineering and 6 papers in Materials Chemistry. Recurrent topics in Sheng Wu's work include Enzyme Catalysis and Immobilization (15 papers), Microbial Metabolic Engineering and Bioproduction (11 papers) and Enzyme Structure and Function (6 papers). Sheng Wu is often cited by papers focused on Enzyme Catalysis and Immobilization (15 papers), Microbial Metabolic Engineering and Bioproduction (11 papers) and Enzyme Structure and Function (6 papers). Sheng Wu collaborates with scholars based in China, Germany and United States. Sheng Wu's co-authors include Manfred T. Reetz, Juan Pablo Acevedo, Junge Zhu, Jianjun Wang, Guogang Zhao, Min Cong, José Daniel Carballeira, Manfred T. Reetz, Joaquı́n Sanchis and Layla Fernández and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Applied and Environmental Microbiology.

In The Last Decade

Sheng Wu

19 papers receiving 621 citations

Author Peers

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

Author						Papers	Cites
Sheng Wu	557	125	98	70	54	20	624
Pankaj Soni	639 1.1×	158 1.3×	79 0.8×	83 1.2×	72 1.3×	29	754
Maximilian J. L. J. Fürst	591 1.1×	139 1.1×	80 0.8×	120 1.7×	39 0.7×	25	761
Roberto Orrù	505 0.9×	79 0.6×	79 0.8×	58 0.8×	41 0.8×	15	681
Marlen Schmidt	664 1.2×	143 1.1×	56 0.6×	86 1.2×	29 0.5×	32	779
Christin Peters	622 1.1×	144 1.2×	69 0.7×	148 2.1×	54 1.0×	16	736
Noriyuki Kizaki	594 1.1×	99 0.8×	74 0.8×	89 1.3×	69 1.3×	12	655
Robert J. Floor	638 1.1×	136 1.1×	142 1.4×	58 0.8×	38 0.7×	10	706
Ekaterina Darii	409 0.7×	104 0.8×	57 0.6×	67 1.0×	20 0.4×	31	570
Alain Perret	496 0.9×	99 0.8×	74 0.8×	33 0.5×	143 2.6×	34	707
Fei Guo	596 1.1×	110 0.9×	102 1.0×	232 3.3×	42 0.8×	20	712

Countries citing papers authored by Sheng Wu

Since Specialization

Citations

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

Fields of papers citing papers by Sheng Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Wu

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