Joseph M. Gabriel

41 total papers · 453 total citations
17 papers, 321 citations indexed

About

Joseph M. Gabriel is a scholar working on Physiology, Endocrine and Autonomic Systems and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Joseph M. Gabriel has authored 17 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 5 papers in Endocrine and Autonomic Systems and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Joseph M. Gabriel's work include Obstructive Sleep Apnea Research (7 papers), Neuroscience of respiration and sleep (5 papers) and Cardiovascular and Diving-Related Complications (3 papers). Joseph M. Gabriel is often cited by papers focused on Obstructive Sleep Apnea Research (7 papers), Neuroscience of respiration and sleep (5 papers) and Cardiovascular and Diving-Related Complications (3 papers). Joseph M. Gabriel collaborates with scholars based in Canada, United States and Sweden. Joseph M. Gabriel's co-authors include T. Douglas Bradley, Takatoshi Kasai, Luigi Taranto‐Montemurro, John S. Floras, Shveta S. Motwani, Rosilene Motta Elias, Narinder Paul, Christopher T. Chan, Azadeh Yadollahi and Laura H. White and has published in prestigious journals such as Journal of the American College of Cardiology, CHEST Journal and SLEEP.

In The Last Decade

Joseph M. Gabriel

16 papers receiving 304 citations

Author Peers

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

Author Last Decade Papers Cites
Joseph M. Gabriel 246 155 97 58 44 17 321
Rida Waseem 190 0.8× 124 0.8× 77 0.8× 63 1.1× 39 0.9× 21 282
Vikram Comondore 270 1.1× 190 1.2× 144 1.5× 73 1.3× 51 1.2× 10 348
Rika Hasegawa 275 1.1× 178 1.1× 93 1.0× 101 1.7× 42 1.0× 13 336
Anne Josseran 165 0.7× 117 0.8× 80 0.8× 26 0.4× 39 0.9× 22 230
Andrew Wiemken 242 1.0× 142 0.9× 98 1.0× 24 0.4× 28 0.6× 19 318
Chloé Gervès‐Pinquié 134 0.5× 88 0.6× 71 0.7× 22 0.4× 25 0.6× 19 280
Martino F. Pengo 209 0.8× 152 1.0× 79 0.8× 54 0.9× 43 1.0× 17 260
V Gai 219 0.9× 167 1.1× 100 1.0× 62 1.1× 45 1.0× 16 354
Sarah Crook 95 0.4× 46 0.3× 144 1.5× 18 0.3× 38 0.9× 20 336
Yunyan Xia 269 1.1× 158 1.0× 101 1.0× 55 0.9× 59 1.3× 19 330

Countries citing papers authored by Joseph M. Gabriel

Since Specialization
Citations

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

Fields of papers citing papers by Joseph M. Gabriel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph M. Gabriel. 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 Joseph M. Gabriel. The network helps show where Joseph M. Gabriel may publish in the future.

Co-authorship network of co-authors of Joseph M. Gabriel

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