Esko Uusi‐Rauva

24 total papers · 628 total citations
13 papers, 470 citations indexed

About

Esko Uusi‐Rauva is a scholar working on Animal Science and Zoology, Pathology and Forensic Medicine and Aquatic Science. According to data from OpenAlex, Esko Uusi‐Rauva has authored 13 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Animal Science and Zoology, 3 papers in Pathology and Forensic Medicine and 3 papers in Aquatic Science. Recurrent topics in Esko Uusi‐Rauva's work include Meat and Animal Product Quality (4 papers), Animal Nutrition and Physiology (3 papers) and Vitamin D Research Studies (3 papers). Esko Uusi‐Rauva is often cited by papers focused on Meat and Animal Product Quality (4 papers), Animal Nutrition and Physiology (3 papers) and Vitamin D Research Studies (3 papers). Esko Uusi‐Rauva collaborates with scholars based in Finland and Slovakia. Esko Uusi‐Rauva's co-authors include Vieno Piironen, Pirjo Mattila, Pekka Koivistoinen, Timo Hirvi, Christina Bäckman, Merja Isoniemi, Tuomo Tupasela, Susanna Eerola, Tapani Lyytikäinen and Tiina Ritvanen and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Journal of the Science of Food and Agriculture.

In The Last Decade

Esko Uusi‐Rauva

13 papers receiving 433 citations

Author Peers

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

Author						Papers	Cites
Esko Uusi‐Rauva	236	145	119	93	72	13	470
Autumn C. Marshall	44 0.2×	102 0.7×	113 0.9×	41 0.4×	20 0.3×	12	410
Shari Lieberman	119 0.5×	52 0.4×	18 0.2×	27 0.3×	42 0.6×	18	509
Kate J. Bowen	34 0.1×	209 1.4×	34 0.3×	102 1.1×	38 0.5×	13	501
Aki Kusumoto	78 0.3×	109 0.8×	20 0.2×	80 0.9×	29 0.4×	12	511
Sueli Regina Baggio	29 0.1×	82 0.6×	133 1.1×	16 0.2×	65 0.9×	27	478
Elizabeth Droke	24 0.1×	192 1.3×	109 0.9×	68 0.7×	33 0.5×	18	534
Muhammad Umair Ijaz	39 0.2×	43 0.3×	88 0.7×	38 0.4×	102 1.4×	16	501
Chantal M.C. Bassett	155 0.7×	272 1.9×	39 0.3×	50 0.5×	10 0.1×	10	549
Caterina Dell’Aquila	276 1.2×	91 0.6×	16 0.1×	46 0.5×	23 0.3×	15	506
Paul‐André Finot	39 0.2×	130 0.9×	70 0.6×	24 0.3×	10 0.1×	15	509

Countries citing papers authored by Esko Uusi‐Rauva

Since Specialization

Citations

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

Fields of papers citing papers by Esko Uusi‐Rauva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Esko Uusi‐Rauva. 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 Esko Uusi‐Rauva. The network helps show where Esko Uusi‐Rauva may publish in the future.

Co-authorship network of co-authors of Esko Uusi‐Rauva

This figure shows the co-authorship network connecting the top 25 collaborators of Esko Uusi‐Rauva. A scholar is included among the top collaborators of Esko Uusi‐Rauva 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 Esko Uusi‐Rauva. Esko Uusi‐Rauva 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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