John R. Sibbald

13 total papers · 437 total citations
13 papers, 375 citations indexed

About

John R. Sibbald is a scholar working on Social Psychology, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems. According to data from OpenAlex, John R. Sibbald has authored 13 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Social Psychology, 7 papers in Cellular and Molecular Neuroscience and 6 papers in Endocrine and Autonomic Systems. Recurrent topics in John R. Sibbald's work include Neuroendocrine regulation and behavior (10 papers), Neuroscience of respiration and sleep (5 papers) and Neuropeptides and Animal Physiology (4 papers). John R. Sibbald is often cited by papers focused on Neuroendocrine regulation and behavior (10 papers), Neuroscience of respiration and sleep (5 papers) and Neuropeptides and Animal Physiology (4 papers). John R. Sibbald collaborates with scholars based in Australia, New Zealand and United States. John R. Sibbald's co-authors include Trevor A. Day, Sanjay Khanna, Leo P. Renaud, Doug W. Smith, Adam Hendricson, Richard A. Morrisett, J. I. Hubbard and Nancy E. Sirett and has published in prestigious journals such as Journal of Neurophysiology, Brain Research and Life Sciences.

In The Last Decade

John R. Sibbald

13 papers receiving 370 citations

Author Peers

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

Author Last Decade Papers Cites
John R. Sibbald 236 224 170 65 64 13 375
Yassar Chakfe 136 0.6× 126 0.6× 120 0.7× 166 2.6× 129 2.0× 10 430
Heather Jameson 232 1.0× 97 0.4× 44 0.3× 23 0.4× 73 1.1× 17 370
Nicholas I. Cilz 54 0.2× 116 0.5× 147 0.9× 12 0.2× 123 1.9× 14 347
S. Takano 142 0.6× 176 0.8× 71 0.4× 5 0.1× 83 1.3× 12 348
M. Parizon 177 0.8× 45 0.2× 158 0.9× 176 2.7× 113 1.8× 8 375
Vivian Biancardi 289 1.2× 104 0.5× 39 0.2× 10 0.2× 21 0.3× 17 362
Anne Duvoid 77 0.3× 106 0.5× 155 0.9× 8 0.1× 102 1.6× 8 336
H. Yamashita 91 0.4× 118 0.5× 146 0.9× 6 0.1× 131 2.0× 16 408
Steven W. Shaver 216 0.9× 59 0.3× 124 0.7× 5 0.1× 71 1.1× 15 428
Daniela Accorsi–Mendonça 217 0.9× 33 0.1× 66 0.4× 22 0.3× 44 0.7× 22 337

Countries citing papers authored by John R. Sibbald

Since Specialization
Citations

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

Fields of papers citing papers by John R. Sibbald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John R. Sibbald. 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 John R. Sibbald. The network helps show where John R. Sibbald may publish in the future.

Co-authorship network of co-authors of John R. Sibbald

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