Stephen R. Reeves

57 total papers · 1.1k total citations
32 papers, 833 citations indexed

About

Stephen R. Reeves is a scholar working on Pulmonary and Respiratory Medicine, Endocrine and Autonomic Systems and Genetics. According to data from OpenAlex, Stephen R. Reeves has authored 32 papers receiving a total of 833 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pulmonary and Respiratory Medicine, 14 papers in Endocrine and Autonomic Systems and 8 papers in Genetics. Recurrent topics in Stephen R. Reeves's work include Neuroscience of respiration and sleep (14 papers), Neonatal Respiratory Health Research (12 papers) and High Altitude and Hypoxia (7 papers). Stephen R. Reeves is often cited by papers focused on Neuroscience of respiration and sleep (14 papers), Neonatal Respiratory Health Research (12 papers) and High Altitude and Hypoxia (7 papers). Stephen R. Reeves collaborates with scholars based in United States, Sweden and United Kingdom. Stephen R. Reeves's co-authors include David Gozal, Jason S. Debley, Andrew Lipton, Shang Z. Guo, Steven F. Ziegler, Thomas N. Wight, Evelyne Gozal, Barry W. Row, David Gozal and Gordon S. Mitchell and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Stephen R. Reeves

31 papers receiving 824 citations

Author Peers

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

Author						Papers	Cites
Stephen R. Reeves	411	341	259	121	121	32	833
Ana María Fortuna	115 0.3×	207 0.6×	363 1.4×	328 2.7×	21 0.2×	45	829
Shaoling Yu	310 0.8×	77 0.2×	258 1.0×	316 2.6×	74 0.6×	22	911
Sarah Gibson	162 0.4×	45 0.1×	131 0.5×	136 1.1×	96 0.8×	32	957
Robert T. Geertman	114 0.3×	80 0.2×	107 0.4×	190 1.6×	108 0.9×	27	929
S Kitamura	125 0.3×	99 0.3×	126 0.5×	208 1.7×	26 0.2×	50	1000
Ville Pulkkinen	79 0.2×	373 1.1×	257 1.0×	253 2.1×	107 0.9×	38	1.0k
Richard F. Hoyt	229 0.6×	383 1.1×	66 0.3×	218 1.8×	128 1.1×	41	937
L. D. Longo	184 0.4×	146 0.4×	225 0.9×	206 1.7×	60 0.5×	37	986
K Hasselbacher	205 0.5×	139 0.4×	359 1.4×	328 2.7×	48 0.4×	31	935
Ayako Sasaki	267 0.6×	322 0.9×	48 0.2×	438 3.6×	22 0.2×	26	897

Countries citing papers authored by Stephen R. Reeves

Since Specialization

Citations

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

Fields of papers citing papers by Stephen R. Reeves

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen R. Reeves

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