Susan B. Glantz

13 total papers · 915 total citations
11 papers, 805 citations indexed

About

Susan B. Glantz is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Susan B. Glantz has authored 11 papers receiving a total of 805 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 5 papers in Cell Biology. Recurrent topics in Susan B. Glantz's work include Neuroscience and Neuropharmacology Research (6 papers), Calpain Protease Function and Regulation (4 papers) and Erythrocyte Function and Pathophysiology (3 papers). Susan B. Glantz is often cited by papers focused on Neuroscience and Neuropharmacology Research (6 papers), Calpain Protease Function and Regulation (4 papers) and Erythrocyte Function and Pathophysiology (3 papers). Susan B. Glantz collaborates with scholars based in United States and South Korea. Susan B. Glantz's co-authors include C S Rubin, Jon S. Morrow, Kevin Wang, Kim McGinnis, José Amat, Rathna Nath, Rand Posmantur, Robert V. Talanian, Yan Li and Carol D. Cianci and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Molecular Biology of the Cell.

In The Last Decade

Susan B. Glantz

11 papers receiving 793 citations

Author Peers

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

Author						Papers	Cites
Susan B. Glantz	566	255	230	130	67	11	805
Daniela Stauffer	538 1.0×	285 1.1×	110 0.5×	100 0.8×	126 1.9×	13	796
Maxim M. Bespalov	472 0.8×	390 1.5×	122 0.5×	79 0.6×	97 1.4×	21	1.0k
Callista B. Harper	346 0.6×	252 1.0×	300 1.3×	109 0.8×	132 2.0×	19	727
O. H. Lowry	646 1.1×	426 1.7×	108 0.5×	97 0.7×	61 0.9×	10	967
Robert Schoenfeld	560 1.0×	248 1.0×	86 0.4×	59 0.5×	64 1.0×	13	869
Maxim V. Ivannikov	597 1.1×	195 0.8×	91 0.4×	156 1.2×	47 0.7×	17	856
Lone Tjener Pallesen	373 0.7×	253 1.0×	116 0.5×	247 1.9×	52 0.8×	20	929
Laura A. Berkowitz	559 1.0×	186 0.7×	111 0.5×	121 0.9×	106 1.6×	18	936
John J. McMahon	567 1.0×	225 0.9×	110 0.5×	124 1.0×	23 0.3×	14	873
Maica Llavero Hurtado	505 0.9×	202 0.8×	100 0.4×	203 1.6×	84 1.3×	15	825

Countries citing papers authored by Susan B. Glantz

Since Specialization

Citations

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

Fields of papers citing papers by Susan B. Glantz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan B. Glantz. 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 Susan B. Glantz. The network helps show where Susan B. Glantz may publish in the future.

Co-authorship network of co-authors of Susan B. Glantz

This figure shows the co-authorship network connecting the top 25 collaborators of Susan B. Glantz. A scholar is included among the top collaborators of Susan B. Glantz 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 Susan B. Glantz. Susan B. Glantz 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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