Maria A. Serrat

55 total papers · 1.0k total citations
28 papers, 766 citations indexed

About

Maria A. Serrat is a scholar working on Physiology, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Maria A. Serrat has authored 28 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Physiology, 8 papers in Molecular Biology and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Maria A. Serrat's work include Adipose Tissue and Metabolism (11 papers), Growth Hormone and Insulin-like Growth Factors (6 papers) and Osteoarthritis Treatment and Mechanisms (5 papers). Maria A. Serrat is often cited by papers focused on Adipose Tissue and Metabolism (11 papers), Growth Hormone and Insulin-like Growth Factors (6 papers) and Osteoarthritis Treatment and Mechanisms (5 papers). Maria A. Serrat collaborates with scholars based in United States, Uruguay and South Korea. Maria A. Serrat's co-authors include C. Owen Lovejoy, Donna King, Elaine M. Hurt, William L. Farrar, Suneetha B. Thomas, Rebecca M. Williams, Joon‐Young Kim, Han‐Jong Kim, Brian T. Kawasaki and George J. Klarmann and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cancer and Cancer Research.

In The Last Decade

Maria A. Serrat

28 papers receiving 748 citations

Author Peers

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

Author Last Decade Papers Cites
Maria A. Serrat 231 143 112 84 73 28 766
Shayne C. Barlow 240 1.0× 96 0.7× 71 0.6× 34 0.4× 123 1.7× 32 743
Richard Holmes 330 1.4× 111 0.8× 80 0.7× 70 0.8× 54 0.7× 23 881
Nelly Pirot 321 1.4× 113 0.8× 32 0.3× 40 0.5× 99 1.4× 31 722
W.A. Day 250 1.1× 91 0.6× 82 0.7× 19 0.2× 113 1.5× 38 897
Franziska Werner 217 0.9× 132 0.9× 73 0.7× 26 0.3× 34 0.5× 38 634
Suresh I. Prajapati 441 1.9× 96 0.7× 65 0.6× 25 0.3× 59 0.8× 32 776
Harald Schraer 281 1.2× 90 0.6× 41 0.4× 51 0.6× 36 0.5× 31 782
Omar El Bounkari 334 1.4× 111 0.8× 47 0.4× 34 0.4× 42 0.6× 24 802
Stefanie Reinhardt 192 0.8× 118 0.8× 37 0.3× 60 0.7× 54 0.7× 28 815
George Nicholson 342 1.5× 53 0.4× 49 0.4× 38 0.5× 50 0.7× 23 709

Countries citing papers authored by Maria A. Serrat

Since Specialization
Citations

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

Fields of papers citing papers by Maria A. Serrat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria A. Serrat. 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 Maria A. Serrat. The network helps show where Maria A. Serrat may publish in the future.

Co-authorship network of co-authors of Maria A. Serrat

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