Muci Wu

45 total papers · 559 total citations
34 papers, 386 citations indexed

About

Muci Wu is a scholar working on Food Science, Nutrition and Dietetics and Plant Science. According to data from OpenAlex, Muci Wu has authored 34 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Food Science, 15 papers in Nutrition and Dietetics and 14 papers in Plant Science. Recurrent topics in Muci Wu's work include Phytochemicals and Antioxidant Activities (11 papers), Food composition and properties (8 papers) and Proteins in Food Systems (5 papers). Muci Wu is often cited by papers focused on Phytochemicals and Antioxidant Activities (11 papers), Food composition and properties (8 papers) and Proteins in Food Systems (5 papers). Muci Wu collaborates with scholars based in China, Portugal and France. Muci Wu's co-authors include Jingren He, Shuxin Ye, Hélder Oliveira, Nuno Mateus, Véronique Gilard, Stéphane Balayssac, Myriam Malet‐Martino, Saı̈da Danoun, Víctor de Freitas and Iva Fernandes and has published in prestigious journals such as SHILAP Revista de lepidopterología, Food Chemistry and Carbohydrate Polymers.

In The Last Decade

Muci Wu

32 papers receiving 382 citations

Author Peers

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

Author						Papers	Cites
Muci Wu	170	105	102	100	95	34	386
Millena Cristina Barros Santos	131 0.8×	127 1.2×	138 1.4×	101 1.0×	90 0.9×	25	426
Aleksandra Vojvodić Cebin	269 1.6×	91 0.9×	100 1.0×	53 0.5×	78 0.8×	32	439
Kabo Masisi	94 0.6×	101 1.0×	150 1.5×	90 0.9×	114 1.2×	23	400
J. Mauricio Peñarrieta	202 1.2×	87 0.8×	125 1.2×	82 0.8×	93 1.0×	46	445
R. F. Matthews	153 0.9×	112 1.1×	117 1.1×	106 1.1×	82 0.9×	21	427
Ji Hye Lee	108 0.6×	51 0.5×	117 1.1×	90 0.9×	75 0.8×	33	386
Cristina dos Santos Ferreira	163 1.0×	69 0.7×	61 0.6×	74 0.7×	47 0.5×	25	404
Pınar Kadiroğlu	202 1.2×	152 1.4×	144 1.4×	78 0.8×	73 0.8×	24	400
Yiyun Yang	183 1.1×	148 1.4×	88 0.9×	86 0.9×	68 0.7×	15	397
Milena Tzanova	115 0.7×	81 0.8×	82 0.8×	89 0.9×	29 0.3×	33	341

Countries citing papers authored by Muci Wu

Since Specialization

Citations

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

Fields of papers citing papers by Muci Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muci Wu

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