M.R. Lovett-Barr

12 total papers · 952 total citations
11 papers, 776 citations indexed

About

M.R. Lovett-Barr is a scholar working on Endocrine and Autonomic Systems, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, M.R. Lovett-Barr has authored 11 papers receiving a total of 776 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrine and Autonomic Systems, 5 papers in Pathology and Forensic Medicine and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in M.R. Lovett-Barr's work include Neuroscience of respiration and sleep (9 papers), Spinal Cord Injury Research (5 papers) and Sleep and Wakefulness Research (4 papers). M.R. Lovett-Barr is often cited by papers focused on Neuroscience of respiration and sleep (9 papers), Spinal Cord Injury Research (5 papers) and Sleep and Wakefulness Research (4 papers). M.R. Lovett-Barr collaborates with scholars based in United States and Canada. M.R. Lovett-Barr's co-authors include Gordon S. Mitchell, Stéphane Vinit, Irawan Satriotomo, Michael S. Hoffman, Julia R. Wilkerson, Peter M. MacFarlane, Francis J. Golder, Gillian D. Muir, Jyoti J. Watters and Lavanya Ranganathan and has published in prestigious journals such as Journal of Neuroscience, Journal of Neurophysiology and Annals of the New York Academy of Sciences.

In The Last Decade

M.R. Lovett-Barr

11 papers receiving 769 citations

Author Peers

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

Author Last Decade Papers Cites
M.R. Lovett-Barr 507 282 225 112 98 11 776
Angela Navarrete‐Opazo 415 0.8× 229 0.8× 196 0.9× 151 1.3× 76 0.8× 14 782
Michael S. Hoffman 641 1.3× 330 1.2× 304 1.4× 92 0.8× 166 1.7× 21 859
Brendan J. Dougherty 574 1.1× 374 1.3× 239 1.1× 44 0.4× 58 0.6× 28 702
Adrianne G. Huxtable 730 1.4× 155 0.5× 332 1.5× 114 1.0× 202 2.1× 28 897
Karen B. Bach 774 1.5× 145 0.5× 236 1.0× 174 1.6× 285 2.9× 9 831
Olli Polo 317 0.6× 58 0.2× 144 0.6× 303 2.7× 127 1.3× 20 761
AS Levine 275 0.5× 96 0.3× 95 0.4× 126 1.1× 35 0.4× 15 844
Barbara Kruszewska 540 1.1× 76 0.3× 67 0.3× 94 0.8× 169 1.7× 16 842
Christopher Severson 210 0.4× 171 0.6× 37 0.2× 41 0.4× 130 1.3× 13 774
Massimiliano M. Siccoli 350 0.7× 95 0.3× 180 0.8× 446 4.0× 262 2.7× 21 818

Countries citing papers authored by M.R. Lovett-Barr

Since Specialization
Citations

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

Fields of papers citing papers by M.R. Lovett-Barr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.R. Lovett-Barr. 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 M.R. Lovett-Barr. The network helps show where M.R. Lovett-Barr may publish in the future.

Co-authorship network of co-authors of M.R. Lovett-Barr

This figure shows the co-authorship network connecting the top 25 collaborators of M.R. Lovett-Barr. A scholar is included among the top collaborators of M.R. Lovett-Barr 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 M.R. Lovett-Barr. M.R. Lovett-Barr 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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