David M. Baekey

53 papers receiving 1.7k citations

Peers

David M. Baekey
Comparison fields: 5 of 97
  • Endocrine and Autonomic Systems 1.2k
  • Pharmacy 347
  • Cardiology and Cardiovascular Medicine 584
  • Cognitive Neuroscience 334
  • Pulmonary and Respiratory Medicine 554
Replace Kendall F. Morris with:
Kendall F. Morris United States
Peter M. Lalley United States
John Orem United States
J Jakus Slovakia
Steven M. Altschuler United States
Edward J. Zuperku United States
Morton I. Cohen United States
Jason H. Mateika United States
F. L. Eldridge United States
Daniel B. Zoccal Brazil
David M. Baekey relative to Kendall F. Morris United States Kendall F. Morris's profile →
Citations per field
00.5×1.5×
Kendall F. Morris · 1×
Citations per year

Countries citing papers authored by David M. Baekey

Since Specialization
Citations

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

Fields of papers citing papers by David M. Baekey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David M. Baekey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David M. Baekey Line = papers co-authored together David M. Baekey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998141
2 2014117
3 2000116
4 2004116
5 200189
6 201384
7 201072
8 200871
9 200867
10 199658
11 200356
12 200946
13 201638
14 200437
15 200837
16 201035
17 201734
18 200332
19 201432
20 199932

About David M. Baekey

David M. Baekey is a scholar working on Endocrine and Autonomic Systems, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Social Psychology and Cognitive Neuroscience, having authored 54 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (45 papers), Heart Rate Variability and Autonomic Control (27 papers), Neuroendocrine regulation and behavior (12 papers), Respiratory and Cough-Related Research (8 papers), Infant Health and Development (7 papers), Sleep and Wakefulness Research (7 papers), Spinal Cord Injury Research (5 papers) and Neonatal Respiratory Health Research (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.2k citations), Pharmacy (347 citations), Cardiology and Cardiovascular Medicine (584 citations), Cognitive Neuroscience (334 citations) and Pulmonary and Respiratory Medicine (554 citations). David M. Baekey has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Kendall F. Morris, Bruce G. Lindsey, R. Shannon, Thomas E. Dick, Sarah C. Nuding, Lauren S. Segers, Julian F. R. Paton, David D. Fuller, Paul J. Reier and Kristi Streeter. Their work appears in journals such as Journal of Neurophysiology, Journal of Applied Physiology, The FASEB Journal, Respiratory Physiology & Neurobiology and Hypertension.

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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