Gloria Biddlecome

25 total papers · 1.4k total citations
16 papers, 1.1k citations indexed

About

Gloria Biddlecome is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cancer Research. According to data from OpenAlex, Gloria Biddlecome has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 4 papers in Cancer Research. Recurrent topics in Gloria Biddlecome's work include Ion channel regulation and function (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Receptor Mechanisms and Signaling (4 papers). Gloria Biddlecome is often cited by papers focused on Ion channel regulation and function (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Receptor Mechanisms and Signaling (4 papers). Gloria Biddlecome collaborates with scholars based in United States, Japan and France. Gloria Biddlecome's co-authors include Elliott M. Ross, Gabriel Berstein, Kevin P. Campbell, Alicia Valenzuela, Jyothi Arikkath, Ricardo Felix, Connie L. Mahaffey, F S Bartlett, Verity A. Letts and Yasuo Mori and has published in prestigious journals such as Journal of Biological Chemistry, Nature Genetics and Kidney International.

In The Last Decade

Gloria Biddlecome

16 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Gloria Biddlecome 902 542 120 110 83 16 1.1k
Hendrika M.A. VanDongen 854 0.9× 613 1.1× 107 0.9× 78 0.7× 105 1.3× 22 1.4k
William S. Mailliard 628 0.7× 444 0.8× 72 0.6× 66 0.6× 39 0.5× 13 1.0k
Allan J. Dunlop 867 1.0× 273 0.5× 89 0.7× 124 1.1× 141 1.7× 14 1.1k
James K.J. Diss 930 1.0× 422 0.8× 39 0.3× 182 1.7× 66 0.8× 26 1.1k
Helen C. Lai 825 0.9× 398 0.7× 151 1.3× 98 0.9× 74 0.9× 24 1.2k
Ruth M. Gubits 908 1.0× 381 0.7× 133 1.1× 256 2.3× 148 1.8× 22 1.4k
Sharan Paul 1000 1.1× 674 1.2× 76 0.6× 95 0.9× 81 1.0× 37 1.2k
Takao Hikita 592 0.7× 285 0.5× 205 1.7× 68 0.6× 128 1.5× 28 1.0k
Louis N. Manganas 773 0.9× 551 1.0× 113 0.9× 323 2.9× 64 0.8× 24 1.3k
Ju Young Kim 630 0.7× 432 0.8× 77 0.6× 29 0.3× 153 1.8× 15 1.1k

Countries citing papers authored by Gloria Biddlecome

Since Specialization
Citations

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

Fields of papers citing papers by Gloria Biddlecome

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gloria Biddlecome

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