Erica S. Levitt

62 total papers · 1.3k total citations
26 papers, 904 citations indexed

About

Erica S. Levitt is a scholar working on Endocrine and Autonomic Systems, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Erica S. Levitt has authored 26 papers receiving a total of 904 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Endocrine and Autonomic Systems, 10 papers in Cognitive Neuroscience and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Erica S. Levitt's work include Neuroscience of respiration and sleep (18 papers), Sleep and Wakefulness Research (7 papers) and Receptor Mechanisms and Signaling (7 papers). Erica S. Levitt is often cited by papers focused on Neuroscience of respiration and sleep (18 papers), Sleep and Wakefulness Research (7 papers) and Receptor Mechanisms and Signaling (7 papers). Erica S. Levitt collaborates with scholars based in United States, United Kingdom and Canada. Erica S. Levitt's co-authors include John T. Williams, Jordan T. Bateman, Adrienn G. Varga, John M. Bissonnette, Andrea Kliewer, Alexis Bailey, Setareh Sianati, Stefan Schulz, MacDonald J. Christie and Brigitte L. Kieffer and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Neuroscience.

In The Last Decade

Erica S. Levitt

24 papers receiving 897 citations

Author Peers

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

Author						Papers	Cites
Erica S. Levitt	460	403	331	171	166	26	904
Liying Fu	214 0.5×	231 0.6×	447 1.4×	150 0.9×	174 1.0×	38	1.0k
Joseph R. Holtman	284 0.6×	196 0.5×	292 0.9×	339 2.0×	168 1.0×	38	1.0k
Sam M. Hermes	294 0.6×	174 0.4×	281 0.8×	290 1.7×	157 0.9×	25	933
Anne Nosjean	396 0.9×	301 0.7×	329 1.0×	133 0.8×	132 0.8×	33	959
Mark G. Rae	366 0.8×	380 0.9×	208 0.6×	218 1.3×	115 0.7×	43	1.0k
Dipanwita Pati	354 0.8×	200 0.5×	101 0.3×	129 0.8×	156 0.9×	30	801
R. Michael Casto	185 0.4×	244 0.6×	286 0.9×	200 1.2×	52 0.3×	28	920
Dusica Bajic	270 0.6×	119 0.3×	141 0.4×	194 1.1×	215 1.3×	38	919
Steven L. Bealer	237 0.5×	154 0.4×	354 1.1×	110 0.6×	78 0.5×	51	999
David Piel	201 0.4×	290 0.7×	125 0.4×	125 0.7×	159 1.0×	21	878

Countries citing papers authored by Erica S. Levitt

Since Specialization

Citations

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

Fields of papers citing papers by Erica S. Levitt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erica S. Levitt. 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 Erica S. Levitt. The network helps show where Erica S. Levitt may publish in the future.

Co-authorship network of co-authors of Erica S. Levitt

This figure shows the co-authorship network connecting the top 25 collaborators of Erica S. Levitt. A scholar is included among the top collaborators of Erica S. Levitt 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 Erica S. Levitt. Erica S. Levitt 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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