Peiling Wu

62 total papers · 413 total citations
25 papers, 284 citations indexed

About

Peiling Wu is a scholar working on Molecular Biology, Complementary and alternative medicine and Immunology. According to data from OpenAlex, Peiling Wu has authored 25 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Complementary and alternative medicine and 3 papers in Immunology. Recurrent topics in Peiling Wu's work include Microbial Metabolic Engineering and Bioproduction (7 papers), Enzyme Catalysis and Immobilization (3 papers) and dental development and anomalies (2 papers). Peiling Wu is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (7 papers), Enzyme Catalysis and Immobilization (3 papers) and dental development and anomalies (2 papers). Peiling Wu collaborates with scholars based in China, United States and Taiwan. Peiling Wu's co-authors include Jifeng Yuan, Yu‐Fen Chen, Peigen Xiao, Lijia Xu, Mingyu Liu, Zhenliang Ma, Da‐Cheng Hao, Yang Zhang, Liying Cui and Wanrong Li and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Applied Microbiology and Biotechnology.

In The Last Decade

Peiling Wu

22 papers receiving 283 citations

Author Peers

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

Author						Papers	Cites
Peiling Wu	135	49	31	25	22	25	284
Jiang Bian	131 1.0×	42 0.9×	23 0.7×	40 1.6×	6 0.3×	33	328
Ling Yuan	150 1.1×	68 1.4×	10 0.3×	17 0.7×	16 0.7×	37	323
Kaspars Jēkabsons	162 1.2×	34 0.7×	41 1.3×	13 0.5×	5 0.2×	20	324
Meng Yuan	181 1.3×	40 0.8×	9 0.3×	20 0.8×	8 0.4×	25	278
Rasha Hamed Al‐Serwi	75 0.6×	27 0.6×	24 0.8×	19 0.8×	6 0.3×	39	270
T. Yoshida	86 0.6×	41 0.8×	28 0.9×	7 0.3×	21 1.0×	22	296
Xinxin Liang	119 0.9×	29 0.6×	46 1.5×	8 0.3×	33 1.5×	48	328
Sahil Kapoor	137 1.0×	111 2.3×	14 0.5×	12 0.5×	5 0.2×	29	331
Hirotaka Hoshi	91 0.7×	57 1.2×	57 1.8×	27 1.1×	29 1.3×	20	301
Ibrahim H. Borai	71 0.5×	68 1.4×	58 1.9×	20 0.8×	5 0.2×	23	305

Countries citing papers authored by Peiling Wu

Since Specialization

Citations

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

Fields of papers citing papers by Peiling Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peiling Wu

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