Margaret E. McCann

21 total papers · 1.5k total citations
19 papers, 549 citations indexed

About

Margaret E. McCann is a scholar working on Molecular Biology, Surgery and Physiology. According to data from OpenAlex, Margaret E. McCann has authored 19 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Surgery and 5 papers in Physiology. Recurrent topics in Margaret E. McCann's work include Peroxisome Proliferator-Activated Receptors (6 papers), Adipose Tissue and Metabolism (5 papers) and Drug Transport and Resistance Mechanisms (4 papers). Margaret E. McCann is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (6 papers), Adipose Tissue and Metabolism (5 papers) and Drug Transport and Resistance Mechanisms (4 papers). Margaret E. McCann collaborates with scholars based in United States, China and Canada. Margaret E. McCann's co-authors include W. Cameron Black, Gerard J. Hickey, Christine Brideau, L. Krulich, Harold B. Wood, Joel P. Berger, Peter T. Meinke, P Hanson, Donghui Zhang and Daniel R. McMasters and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Endocrinology and Journal of Medicinal Chemistry.

In The Last Decade

Margaret E. McCann

17 papers receiving 526 citations

Author Peers

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

Author Last Decade Papers Cites
Margaret E. McCann 238 138 122 76 71 19 549
Brody Tm 239 1.0× 75 0.5× 71 0.6× 20 0.3× 32 0.5× 15 510
Sven Erik Sjöstrand 167 0.7× 229 1.7× 41 0.3× 82 1.1× 30 0.4× 16 561
Laurel B. Deloria 146 0.6× 104 0.8× 52 0.4× 97 1.3× 12 0.2× 16 587
Elizabeth Quadros 242 1.0× 72 0.5× 135 1.1× 60 0.8× 13 0.2× 15 545
Pia Lorentzon 328 1.4× 196 1.4× 29 0.2× 130 1.7× 23 0.3× 16 614
Dan Farbstein 135 0.6× 112 0.8× 18 0.1× 26 0.3× 111 1.6× 13 563
Jacqueline Bonnet 178 0.7× 37 0.3× 75 0.6× 40 0.5× 13 0.2× 13 531
Ching H. Chang 196 0.8× 43 0.3× 24 0.2× 23 0.3× 97 1.4× 19 455
Chaohua Lin 147 0.6× 46 0.3× 107 0.9× 27 0.4× 8 0.1× 17 463
B Panczenko 110 0.5× 52 0.4× 307 2.5× 15 0.2× 71 1.0× 11 547

Countries citing papers authored by Margaret E. McCann

Since Specialization
Citations

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

Fields of papers citing papers by Margaret E. McCann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Margaret E. McCann. 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 Margaret E. McCann. The network helps show where Margaret E. McCann may publish in the future.

Co-authorship network of co-authors of Margaret E. McCann

This figure shows the co-authorship network connecting the top 25 collaborators of Margaret E. McCann. A scholar is included among the top collaborators of Margaret E. McCann 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 Margaret E. McCann. Margaret E. McCann 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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