Elizabeth McWhinnie

12 total papers · 1.3k total citations
10 papers, 790 citations indexed

About

Elizabeth McWhinnie is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Elizabeth McWhinnie has authored 10 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 1 paper in Cognitive Neuroscience. Recurrent topics in Elizabeth McWhinnie's work include Biochemical and Molecular Research (3 papers), CRISPR and Genetic Engineering (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). Elizabeth McWhinnie is often cited by papers focused on Biochemical and Molecular Research (3 papers), CRISPR and Genetic Engineering (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). Elizabeth McWhinnie collaborates with scholars based in United States, Canada and Switzerland. Elizabeth McWhinnie's co-authors include Mark Labow, Feng Yan, John A. Tallarico, Daniel Young, Barbara A. Moffatt, Gung‐Wei Chirn, J.D. Hoyt, Jeremy L. Jenkins, Timothy J. Mitchison and Andreas Bender and has published in prestigious journals such as Journal of Biological Chemistry, Current Biology and Nature Chemical Biology.

In The Last Decade

Elizabeth McWhinnie

10 papers receiving 773 citations

Author Peers

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

Author						Papers	Cites
Elizabeth McWhinnie	583	150	129	91	84	10	790
Brigitte H. Keon	568 1.0×	57 0.4×	67 0.5×	49 0.5×	12 0.1×	10	837
Madhusudan Natarajan	397 0.7×	22 0.1×	53 0.4×	110 1.2×	88 1.0×	11	647
Graham K. Bilter	426 0.7×	43 0.3×	69 0.5×	31 0.3×	11 0.1×	8	664
Tobias Heckel	330 0.6×	32 0.2×	35 0.3×	80 0.9×	18 0.2×	19	638
G.K.-W. Kong	541 0.9×	23 0.2×	37 0.3×	96 1.1×	26 0.3×	13	815
Lorena A. Kallal	732 1.3×	29 0.2×	58 0.4×	291 3.2×	20 0.2×	25	892
Mojca Mattiazzi Ušaj	489 0.8×	156 1.0×	24 0.2×	13 0.1×	53 0.6×	22	652
Nadine Schmidt	637 1.1×	28 0.2×	24 0.2×	120 1.3×	104 1.2×	25	902
Rudolf Pillich	497 0.9×	21 0.1×	46 0.4×	28 0.3×	45 0.5×	21	702
Y. John Shyu	633 1.1×	179 1.2×	9 0.1×	96 1.1×	58 0.7×	9	843

Countries citing papers authored by Elizabeth McWhinnie

Since Specialization

Citations

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

Fields of papers citing papers by Elizabeth McWhinnie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elizabeth McWhinnie. 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 Elizabeth McWhinnie. The network helps show where Elizabeth McWhinnie may publish in the future.

Co-authorship network of co-authors of Elizabeth McWhinnie

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