Jeffrey P. Ellison

19 total papers · 412 total citations
15 papers, 334 citations indexed

About

Jeffrey P. Ellison is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jeffrey P. Ellison has authored 15 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrine and Autonomic Systems, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jeffrey P. Ellison's work include Neuroscience of respiration and sleep (7 papers), Neuropeptides and Animal Physiology (3 papers) and Cardiac Arrhythmias and Treatments (3 papers). Jeffrey P. Ellison is often cited by papers focused on Neuroscience of respiration and sleep (7 papers), Neuropeptides and Animal Physiology (3 papers) and Cardiac Arrhythmias and Treatments (3 papers). Jeffrey P. Ellison collaborates with scholars based in United States and United Kingdom. Jeffrey P. Ellison's co-authors include Richard G. Hibbs, Gillian M. Clark, Terence H. Williams, Albert L. Hyman, David S. Knight, Philip J. Kadowitz, Kenneth W. Olander, Robert G. Heath, Steven M. Paul and Stanley J. Watson and has published in prestigious journals such as Circulation Research, The Journal of Comparative Neurology and CHEST Journal.

In The Last Decade

Jeffrey P. Ellison

15 papers receiving 304 citations

Author Peers

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

Author						Papers	Cites
Jeffrey P. Ellison	106	103	83	71	66	15	334
I. Mussini	105 1.0×	78 0.8×	227 2.7×	32 0.5×	52 0.8×	16	365
John P. Clark	94 0.9×	69 0.7×	126 1.5×	29 0.4×	82 1.2×	15	357
Mary Leonard	73 0.7×	70 0.7×	76 0.9×	134 1.9×	36 0.5×	16	338
Jing Zhang	29 0.3×	99 1.0×	100 1.2×	63 0.9×	51 0.8×	11	348
R. N. SPEDEN	93 0.9×	114 1.1×	111 1.3×	103 1.5×	31 0.5×	18	349
W. D. HAWLEY	76 0.7×	79 0.8×	55 0.7×	30 0.4×	66 1.0×	13	393
Y Nakayama	53 0.5×	116 1.1×	42 0.5×	88 1.2×	32 0.5×	16	348
Barry D. Kyle	99 0.9×	106 1.0×	245 3.0×	85 1.2×	21 0.3×	24	380
Audrys G. Pauža	52 0.5×	152 1.5×	96 1.2×	41 0.6×	42 0.6×	26	316
Theresa Brand	62 0.6×	75 0.7×	121 1.5×	39 0.5×	34 0.5×	17	377

Countries citing papers authored by Jeffrey P. Ellison

Since Specialization

Citations

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

Fields of papers citing papers by Jeffrey P. Ellison

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey P. Ellison. 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 Jeffrey P. Ellison. The network helps show where Jeffrey P. Ellison may publish in the future.

Co-authorship network of co-authors of Jeffrey P. Ellison

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey P. Ellison. A scholar is included among the top collaborators of Jeffrey P. Ellison 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 Jeffrey P. Ellison. Jeffrey P. Ellison 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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