Weiliang Wu

46 total papers · 575 total citations
33 papers, 439 citations indexed

About

Weiliang Wu is a scholar working on Health, Toxicology and Mutagenesis, Molecular Biology and Food Science. According to data from OpenAlex, Weiliang Wu has authored 33 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Health, Toxicology and Mutagenesis, 7 papers in Molecular Biology and 6 papers in Food Science. Recurrent topics in Weiliang Wu's work include Heavy Metal Exposure and Toxicity (7 papers), Proteins in Food Systems (3 papers) and Food Chemistry and Fat Analysis (3 papers). Weiliang Wu is often cited by papers focused on Heavy Metal Exposure and Toxicity (7 papers), Proteins in Food Systems (3 papers) and Food Chemistry and Fat Analysis (3 papers). Weiliang Wu collaborates with scholars based in China and Japan. Weiliang Wu's co-authors include Quan Zhou, Aimin Jiang, Zenichiro MAEKAWA, Hiroyuki Hamada, Minmin Ai, Shanguang Guo, Jianxian Zheng, Xingfen Yang, Chao Wang and Jing Jing Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Weiliang Wu

28 papers receiving 431 citations

Author Peers

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

Author						Papers	Cites
Weiliang Wu	102	78	77	65	63	33	439
Jaroslav Dobiáš	113 1.1×	39 0.5×	71 0.9×	96 1.5×	87 1.4×	37	468
Carlos Alberto Rodrigues Anjos	116 1.1×	64 0.8×	42 0.5×	32 0.5×	19 0.3×	18	446
Maria Teresa de Alvarenga Freire	109 1.1×	82 1.1×	38 0.5×	115 1.8×	106 1.7×	37	448
Lei Chen	94 0.9×	89 1.1×	66 0.9×	97 1.5×	90 1.4×	29	443
Tao Hong	91 0.9×	128 1.6×	49 0.6×	21 0.3×	36 0.6×	24	492
S. Pastorelli	45 0.4×	86 1.1×	39 0.5×	116 1.8×	180 2.9×	14	435
Xue‐Chao Song	66 0.6×	112 1.4×	77 1.0×	122 1.9×	123 2.0×	23	464
Maryam Zabihzadeh Khajavi	76 0.7×	90 1.2×	42 0.5×	68 1.0×	18 0.3×	22	435
Eva Ortner	169 1.7×	111 1.4×	40 0.5×	109 1.7×	36 0.6×	23	404
Gabriel Mustăţea	79 0.8×	70 0.9×	34 0.4×	57 0.9×	23 0.4×	33	385

Countries citing papers authored by Weiliang Wu

Since Specialization

Citations

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

Fields of papers citing papers by Weiliang Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiliang Wu

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