Daniel K. Mulkey

83 papers receiving 3.3k citations

Peers

Daniel K. Mulkey
Comparison fields: 5 of 102
  • Endocrine and Autonomic Systems 2.4k
  • Cognitive Neuroscience 1.1k
  • Social Psychology 884
  • Cellular and Molecular Neuroscience 560
  • Aging 54
Replace Stephan W. Schwarzacher with:
Stephan W. Schwarzacher Germany
Hiroshi Onimaru Japan
J. Thomas Cunningham United States
Javier E. Stern United States
Eugene Nattie United States
David D. Kline United States
Jorge Gallego France
Glenn M. Toney United States
Mark C. Bellingham Australia
Shigefumi Yokota Japan
Daniel K. Mulkey relative to Stephan W. Schwarzacher Germany Stephan W. Schwarzacher's profile →
Citations per field
00.5×1.5×2.2×
Stephan W. Schwarzacher · 1×
Citations per year

Countries citing papers authored by Daniel K. Mulkey

Since Specialization
Citations

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

Fields of papers citing papers by Daniel K. Mulkey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel K. Mulkey. 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 Daniel K. Mulkey. The network helps show where Daniel K. Mulkey may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004449
2 2006304
3 2007161
4 2005157
5 2004138
6 2010125
7 2007125
8 200385
9 201085
10 201282
11 200667
12 200166
13 200465
14 200364
15 201064
16 201759
17 200958
18 201054
19 200949
20 201947

About Daniel K. Mulkey

Daniel K. Mulkey is a scholar working on Endocrine and Autonomic Systems, Social Psychology, Cognitive Neuroscience, Molecular Biology and Cellular and Molecular Neuroscience, having authored 89 papers that have together received 3.4k indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (67 papers), Neuroendocrine regulation and behavior (29 papers), Sleep and Wakefulness Research (25 papers), Ion channel regulation and function (10 papers), Neonatal Respiratory Health Research (10 papers), Neuroscience and Neuropharmacology Research (8 papers), Heart Rate Variability and Autonomic Control (7 papers) and Genetics and Neurodevelopmental Disorders (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (2.4k citations), Cognitive Neuroscience (1.1k citations), Social Psychology (884 citations), Cellular and Molecular Neuroscience (560 citations) and Aging (54 citations). Daniel K. Mulkey has collaborated with scholars based in United States, Brazil and United Kingdom. Frequent co-authors include Patrice G. Guyenet, Douglas A. Bayliss, Ruth L. Stornetta, Thiago S. Moreira, Ana C. Takakura, Jay B. Dean, Ian C. Wenker, Robert W. Putnam, Richard A. Henderson and Orsolya Kréneisz. Their work appears in journals such as The Journal of Physiology, Journal of Neuroscience, Journal of Neurophysiology, The FASEB Journal and Journal of Applied Physiology.

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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