Catherine M. Pollina

29 total papers · 867 total citations
27 papers, 731 citations indexed

About

Catherine M. Pollina is a scholar working on Molecular Biology, Animal Science and Zoology and Physiology. According to data from OpenAlex, Catherine M. Pollina has authored 27 papers receiving a total of 731 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 11 papers in Animal Science and Zoology and 8 papers in Physiology. Recurrent topics in Catherine M. Pollina's work include Muscle Physiology and Disorders (17 papers), Animal Nutrition and Physiology (10 papers) and Meat and Animal Product Quality (7 papers). Catherine M. Pollina is often cited by papers focused on Muscle Physiology and Disorders (17 papers), Animal Nutrition and Physiology (10 papers) and Meat and Animal Product Quality (7 papers). Catherine M. Pollina collaborates with scholars based in United States and Japan. Catherine M. Pollina's co-authors include Michael S. Hudecki, Christopher A. Loretz, Eric P. Hoffman, Louis M. Kunkel, Paul A. Rosenberg, Reid R. Heffner, Yoshio Takei, Susumu Hyodo, Wenhan Chang and Dolores Shoback and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Catherine M. Pollina

27 papers receiving 719 citations

Author Peers

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

Author						Papers	Cites
Catherine M. Pollina	513	175	128	116	109	27	731
Roberta Sacchetto	622 1.2×	82 0.5×	183 1.4×	21 0.2×	29 0.3×	59	884
Kathleen M. McCormick	664 1.3×	211 1.2×	81 0.6×	12 0.1×	12 0.1×	18	882
Hiroki Hagiwara	494 1.0×	129 0.7×	82 0.6×	32 0.3×	50 0.5×	29	830
Emilie Passerieux	550 1.1×	177 1.0×	54 0.4×	23 0.2×	8 0.1×	22	838
Eric Raddatz	393 0.8×	120 0.7×	292 2.3×	43 0.4×	13 0.1×	44	808
Ethel Cosmos	551 1.1×	127 0.7×	108 0.8×	28 0.2×	6 0.1×	27	724
Ferenc Jeanplong	568 1.1×	192 1.1×	74 0.6×	15 0.1×	12 0.1×	19	649
Meredith H. Wilson	478 0.9×	236 1.3×	66 0.5×	11 0.1×	17 0.2×	21	857
Fred Schachat	450 0.9×	101 0.6×	407 3.2×	65 0.6×	9 0.1×	26	849
Thomas Chaillou	536 1.0×	293 1.7×	61 0.5×	15 0.1×	9 0.1×	36	877

Countries citing papers authored by Catherine M. Pollina

Since Specialization

Citations

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

Fields of papers citing papers by Catherine M. Pollina

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Catherine M. Pollina. 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 Catherine M. Pollina. The network helps show where Catherine M. Pollina may publish in the future.

Co-authorship network of co-authors of Catherine M. Pollina

This figure shows the co-authorship network connecting the top 25 collaborators of Catherine M. Pollina. A scholar is included among the top collaborators of Catherine M. Pollina 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 Catherine M. Pollina. Catherine M. Pollina 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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