P. C. G. Nye

58 total papers · 1.2k total citations
40 papers, 933 citations indexed

About

P. C. G. Nye is a scholar working on Endocrine and Autonomic Systems, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, P. C. G. Nye has authored 40 papers receiving a total of 933 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Endocrine and Autonomic Systems, 19 papers in Cardiology and Cardiovascular Medicine and 11 papers in Molecular Biology. Recurrent topics in P. C. G. Nye's work include Neuroscience of respiration and sleep (26 papers), Heart Rate Variability and Autonomic Control (15 papers) and Ion channel regulation and function (7 papers). P. C. G. Nye is often cited by papers focused on Neuroscience of respiration and sleep (26 papers), Heart Rate Variability and Autonomic Control (15 papers) and Ion channel regulation and function (7 papers). P. C. G. Nye collaborates with scholars based in United Kingdom, United States and Netherlands. P. C. G. Nye's co-authors include Michelle Dipp, Chris Peers, Richard D. Vaughan‐Jones, Keith J. Buckler, David J. Paterson, R. W. Torrance, Allan M. Evans, Mark A. Hanson, Ray E. Burger and B. E. Robertson and has published in prestigious journals such as The Journal of Physiology, FEBS Letters and Journal of Applied Physiology.

In The Last Decade

P. C. G. Nye

39 papers receiving 896 citations

Author Peers

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

Author						Papers	Cites
P. C. G. Nye	422	324	304	198	160	40	933
R. W. Torrance	460 1.1×	292 0.9×	134 0.4×	132 0.7×	173 1.1×	32	910
R. S. Fitzgerald	656 1.6×	175 0.5×	152 0.5×	206 1.0×	304 1.9×	42	971
Sabine S. Gouraud	309 0.7×	186 0.6×	305 1.0×	206 1.0×	122 0.8×	45	920
M. L. Blair	247 0.6×	237 0.7×	211 0.7×	140 0.7×	112 0.7×	42	1.1k
G. Hajduczok	278 0.7×	665 2.1×	228 0.8×	311 1.6×	75 0.5×	39	1.1k
J. A. Krasney	220 0.5×	252 0.8×	81 0.3×	204 1.0×	135 0.8×	54	798
Tamás Horváth	264 0.6×	218 0.7×	131 0.4×	235 1.2×	74 0.5×	54	980
Shang Z. Guo	589 1.4×	214 0.7×	320 1.1×	467 2.4×	136 0.8×	19	1.2k
C Heymans	266 0.6×	375 1.2×	89 0.3×	159 0.8×	100 0.6×	53	840
Mustapha Irnaten	276 0.7×	166 0.5×	523 1.7×	120 0.6×	59 0.4×	49	1.2k

Countries citing papers authored by P. C. G. Nye

Since Specialization

Citations

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

Fields of papers citing papers by P. C. G. Nye

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. C. G. Nye. 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 P. C. G. Nye. The network helps show where P. C. G. Nye may publish in the future.

Co-authorship network of co-authors of P. C. G. Nye

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