Christopher W. Loomis

37 total papers · 1.1k total citations
34 papers, 889 citations indexed

About

Christopher W. Loomis is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Christopher W. Loomis has authored 34 papers receiving a total of 889 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Physiology, 9 papers in Molecular Biology and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Christopher W. Loomis's work include Pain Mechanisms and Treatments (20 papers), Anesthesia and Pain Management (5 papers) and Neuroscience of respiration and sleep (5 papers). Christopher W. Loomis is often cited by papers focused on Pain Mechanisms and Treatments (20 papers), Anesthesia and Pain Management (5 papers) and Neuroscience of respiration and sleep (5 papers). Christopher W. Loomis collaborates with scholars based in Canada and United States. Christopher W. Loomis's co-authors include Stephen E. Sherman, James F. Brien, Michael P. Hefferan, Darren D. O’Rielly, Brian Milne, Frank W. Cervenko, D. Bieger, Haiheng Dong, Michael J. McGrath and Joan Tranmer and has published in prestigious journals such as Gastroenterology, Brain Research and Pain.

In The Last Decade

Christopher W. Loomis

34 papers receiving 839 citations

Author Peers

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

Author Last Decade Papers Cites
Christopher W. Loomis 487 272 201 148 124 34 889
Zhisong Li 476 1.0× 287 1.1× 238 1.2× 90 0.6× 106 0.9× 44 917
Liling Yang 471 1.0× 240 0.9× 171 0.9× 57 0.4× 123 1.0× 32 1.0k
Zongbin Song 426 0.9× 236 0.9× 330 1.6× 47 0.3× 93 0.8× 50 1.0k
F. V. Abbott 507 1.0× 335 1.2× 142 0.7× 101 0.7× 97 0.8× 22 862
Sonja Vučković 444 0.9× 296 1.1× 235 1.2× 66 0.4× 286 2.3× 75 1.0k
Jürg Schneider 179 0.4× 261 1.0× 184 0.9× 72 0.5× 87 0.7× 31 1.0k
Melik Seyrek 389 0.8× 210 0.8× 213 1.1× 34 0.2× 260 2.1× 43 986
Shigehito Sawamura 395 0.8× 286 1.1× 156 0.8× 50 0.3× 92 0.7× 56 850
Ratan K. Banik 522 1.1× 205 0.8× 106 0.5× 89 0.6× 95 0.8× 37 743
Toshizo Ishikawa 322 0.7× 196 0.7× 145 0.7× 56 0.4× 67 0.5× 60 956

Countries citing papers authored by Christopher W. Loomis

Since Specialization
Citations

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

Fields of papers citing papers by Christopher W. Loomis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher W. Loomis. 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 Christopher W. Loomis. The network helps show where Christopher W. Loomis may publish in the future.

Co-authorship network of co-authors of Christopher W. Loomis

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher W. Loomis. A scholar is included among the top collaborators of Christopher W. Loomis 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 Christopher W. Loomis. Christopher W. Loomis 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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