Yhan S. Mutz

52 total papers · 1.1k total citations
49 papers, 789 citations indexed

About

Yhan S. Mutz is a scholar working on Food Science, Biotechnology and Animal Science and Zoology. According to data from OpenAlex, Yhan S. Mutz has authored 49 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Food Science, 16 papers in Biotechnology and 13 papers in Animal Science and Zoology. Recurrent topics in Yhan S. Mutz's work include Meat and Animal Product Quality (13 papers), Listeria monocytogenes in Food Safety (13 papers) and Advanced Chemical Sensor Technologies (11 papers). Yhan S. Mutz is often cited by papers focused on Meat and Animal Product Quality (13 papers), Listeria monocytogenes in Food Safety (13 papers) and Advanced Chemical Sensor Technologies (11 papers). Yhan S. Mutz collaborates with scholars based in Brazil, Belgium and United States. Yhan S. Mutz's co-authors include Carlos Adam Conte‐Júnior, Denes Kaic Alves do Rosário, Patrícia Campos Bernardes, Vinícius Silva Castro, Maria Lúcia Guerra Monteiro, Vânia Margaret Flosi Paschoalin, Joel Camilo Souza Carneiro, Jackline Freitas Brilhante de São José, Diego Galvan and Raquel Vieira de Carvalho and has published in prestigious journals such as Scientific Reports, Food Chemistry and Journal of Dairy Science.

In The Last Decade

Yhan S. Mutz

47 papers receiving 772 citations

Author Peers

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

Author						Papers	Cites
Yhan S. Mutz	272	195	144	131	130	49	789
Parise Adadi	157 0.6×	25 0.1×	45 0.3×	23 0.2×	15 0.1×	34	807
Ning Liu	56 0.2×	33 0.2×	45 0.3×	31 0.2×	13 0.1×	53	687
Xiang Hou	63 0.2×	11 0.1×	55 0.4×	23 0.2×	29 0.2×	39	722
Adam Florkiewicz	272 1.0×	17 0.1×	105 0.7×	19 0.1×	9 0.1×	44	672
Gustavo Luís de Paiva Anciens Ramos	514 1.9×	259 1.3×	162 1.1×	55 0.4×	3 0.0×	59	865
Md. Anowar Khasru Parvez	120 0.4×	21 0.1×	21 0.1×	49 0.4×	18 0.1×	63	790
Fabio Masotti	443 1.6×	83 0.4×	150 1.0×	60 0.5×	7 0.1×	44	788
Muhammad Adil Farooq	266 1.0×	103 0.5×	45 0.3×	46 0.4×	3 0.0×	40	637
Andrew D. Clarke	355 1.3×	71 0.4×	354 2.5×	95 0.7×		39	729
Mohamed Abdo	185 0.7×	23 0.1×	105 0.7×	51 0.4×	9 0.1×	45	875

Countries citing papers authored by Yhan S. Mutz

Since Specialization

Citations

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

Fields of papers citing papers by Yhan S. Mutz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yhan S. Mutz. 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 Yhan S. Mutz. The network helps show where Yhan S. Mutz may publish in the future.

Co-authorship network of co-authors of Yhan S. Mutz

This figure shows the co-authorship network connecting the top 25 collaborators of Yhan S. Mutz. A scholar is included among the top collaborators of Yhan S. Mutz 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 Yhan S. Mutz. Yhan S. Mutz 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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