David D. Fuller

192 papers receiving 7.7k citations

Peers

David D. Fuller
Comparison fields: 5 of 132
  • Endocrine and Autonomic Systems 4.7k
  • Pharmacy 483
  • Pathology and Forensic Medicine 1.8k
  • Physiology 1.9k
  • Pulmonary and Respiratory Medicine 1.8k
Replace Gordon S. Mitchell with:
Gordon S. Mitchell United States
Carlos B. Mantilla United States
Paul J. Reier United States
Harry G. Goshgarian United States
John J. Greer Canada
Gerlinda E. Hermann United States
Wen-Zhi Zhan United States
Dawna L. Armstrong United States
Ida J. Llewellyn‐Smith Australia
Rolf Uddman Sweden
David D. Fuller relative to Gordon S. Mitchell United States Gordon S. Mitchell's profile →
Citations per field
00.5×1.5×
Gordon S. Mitchell · 1×
Citations per year

Countries citing papers authored by David D. Fuller

Since Specialization
Citations

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

Fields of papers citing papers by David D. Fuller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David D. Fuller, 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 D. Fuller Line = papers co-authored together David D. Fuller links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 198 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003429
2 2001348
3 2001234
4 2000200
5 1999189
6 2001185
7 2009158
8 2008152
9 2003148
10 2013136
11 2001131
12 2009129
13 1998128
14 2015121
15 2005119
16 1997117
17 2008114
18 2003106
19 2006104
20 2013101

About David D. Fuller

David D. Fuller is a scholar working on Endocrine and Autonomic Systems, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Physiology and Cognitive Neuroscience, having authored 198 papers that have together received 7.8k indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (124 papers), Spinal Cord Injury Research (48 papers), Sleep and Wakefulness Research (35 papers), Lysosomal Storage Disorders Research (28 papers), Neonatal Respiratory Health Research (22 papers), Neuroendocrine regulation and behavior (21 papers), Respiratory Support and Mechanisms (20 papers) and Neurogenetic and Muscular Disorders Research (18 papers). The work is most often cited by research in Endocrine and Autonomic Systems (4.7k citations), Pharmacy (483 citations), Pathology and Forensic Medicine (1.8k citations), Physiology (1.9k citations) and Pulmonary and Respiratory Medicine (1.8k citations). David D. Fuller has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include Gordon S. Mitchell, Paul J. Reier, Kun‐Ze Lee, Ralph F. Fregosi, Barry J. Byrne, Michael A. Lane, A. G. Zabka, Ryan W. Bavis, Milap S. Sandhu and Nicholas J. Doperalski. Their work appears in journals such as Respiratory Physiology & Neurobiology, Journal of Applied Physiology, The FASEB Journal, Experimental Neurology and Journal of Neurophysiology.

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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