Daniel K. Mulkey

4.2k total citations
88 papers, 3.3k citations indexed

About

Daniel K. Mulkey is a scholar working on Endocrine and Autonomic Systems, Social Psychology and Cognitive Neuroscience. According to data from OpenAlex, Daniel K. Mulkey has authored 88 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Endocrine and Autonomic Systems, 32 papers in Social Psychology and 28 papers in Cognitive Neuroscience. Recurrent topics in Daniel K. Mulkey's work include Neuroscience of respiration and sleep (68 papers), Neuroendocrine regulation and behavior (32 papers) and Sleep and Wakefulness Research (27 papers). Daniel K. Mulkey is often cited by papers focused on Neuroscience of respiration and sleep (68 papers), Neuroendocrine regulation and behavior (32 papers) and Sleep and Wakefulness Research (27 papers). Daniel K. Mulkey collaborates with scholars based in United States, Brazil and United Kingdom. Daniel K. Mulkey's 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 and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Daniel K. Mulkey

81 papers receiving 3.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel K. Mulkey United States 30 2.4k 1.1k 928 594 586 88 3.3k
Stephen B.G. Abbott United States 30 1.8k 0.8× 1.1k 1.0× 559 0.6× 428 0.7× 476 0.8× 60 3.1k
Ana C. Takakura Brazil 30 2.6k 1.1× 1.4k 1.3× 955 1.0× 263 0.4× 392 0.7× 135 3.3k
Thiago S. Moreira Brazil 31 2.7k 1.2× 1.5k 1.3× 974 1.0× 263 0.4× 406 0.7× 150 3.4k
Hiroshi Onimaru Japan 34 3.3k 1.4× 1.4k 1.2× 1.7k 1.8× 677 1.1× 650 1.1× 150 4.5k
Matthew R. Hodges United States 24 1.7k 0.7× 814 0.7× 681 0.7× 329 0.6× 310 0.5× 90 2.3k
Jean Champagnat France 29 2.5k 1.1× 939 0.8× 1.2k 1.3× 757 1.3× 1.0k 1.7× 64 3.6k
Ana P. Abdala United Kingdom 30 2.5k 1.1× 1.2k 1.1× 729 0.8× 353 0.6× 309 0.5× 60 3.5k
J. Thomas Cunningham United States 35 1.7k 0.7× 543 0.5× 962 1.0× 525 0.9× 534 0.9× 134 3.5k
Patrice G. Guyenet United States 27 2.0k 0.9× 1.1k 1.0× 749 0.8× 684 1.2× 1.1k 1.8× 31 3.4k
Gérard Hilaire France 33 1.8k 0.8× 877 0.8× 907 1.0× 654 1.1× 348 0.6× 64 2.9k

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-authorship network of co-authors of Daniel K. Mulkey

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel K. Mulkey. A scholar is included among the top collaborators of Daniel K. Mulkey 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 Daniel K. Mulkey. Daniel K. Mulkey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Armbruster, Moritz, et al.. (2024). Kir4.1 channels contribute to astrocyte CO2/H+-sensitivity and the drive to breathe. Communications Biology. 7(1). 373–373. 3 indexed citations
3.
Ou, Mengchan, Yali Chen, Jin Liu, et al.. (2023). Spinal astrocytic MeCP2 regulates Kir4.1 for the maintenance of chronic hyperalgesia in neuropathic pain. Progress in Neurobiology. 224. 102436–102436. 21 indexed citations
4.
Sobrinho, Cleyton R., et al.. (2023). Phox2b-expressing neurons contribute to breathing problems in Kcnq2 loss- and gain-of-function encephalopathy models. Nature Communications. 14(1). 8059–8059. 4 indexed citations
5.
Moreira, Thiago S., Daniel K. Mulkey, & Ana C. Takakura. (2023). Update on vascular control of central chemoreceptors. Experimental Physiology. 109(11). 1837–1843. 3 indexed citations
6.
Maher, Brady J., et al.. (2021). Disordered breathing in a Pitt-Hopkins syndrome model involves Phox2b-expressing parafacial neurons and aberrant Nav1.8 expression. Nature Communications. 12(1). 5962–5962. 12 indexed citations
7.
Patterson, Kelsey, et al.. (2020). Kir5.1‐dependent CO2/H+‐sensitive currents contribute to astrocyte heterogeneity across brain regions. Glia. 69(2). 310–325. 15 indexed citations
8.
Moreira, Thiago S., et al.. (2020). Vascular control of the CO2/H+-dependent drive to breathe. eLife. 9. 24 indexed citations
9.
Cuddapah, Vishnu Anand, Natasha L. Pacheco, Leanne M. Holt, et al.. (2018). MeCP2 Deficiency Leads to Loss of Glial Kir4.1. eNeuro. 5(1). ENEURO.0194–17.2018. 29 indexed citations
10.
Falquetto, Bárbara, David N. Ruskin, Susan A. Masino, et al.. (2018). Adenosine Signaling through A1 Receptors Inhibits Chemosensitive Neurons in the Retrotrapezoid Nucleus. eNeuro. 5(6). ENEURO.0404–18.2018. 12 indexed citations
11.
Hussain, Naveed, et al.. (2014). Connexin26 hemichannels with a mutation that causes KID syndrome in humans lack sensitivity to CO2. eLife. 3. e04249–e04249. 29 indexed citations
12.
Lazarenko, Roman M., Michal G. Fortuna, Ya Shi, et al.. (2010). Anesthetic Activation of Central Respiratory Chemoreceptor Neurons Involves Inhibition of a THIK-1-Like Background K+ Current. Journal of Neuroscience. 30(27). 9324–9334. 64 indexed citations
13.
Guyenet, Patrice G., et al.. (2008). The Retrotrapezoid Nucleus and Central Chemoreception. Tzu Chi Medical Journal. 20(4). 239–242. 1 indexed citations
14.
Mulkey, Daniel K., Diane L. Rosin, Gavin H. West, et al.. (2007). Serotonergic Neurons Activate Chemosensitive Retrotrapezoid Nucleus Neurons by a pH-Independent Mechanism. Journal of Neuroscience. 27(51). 14128–14138. 125 indexed citations
15.
Guyenet, Patrice G., et al.. (2007). The Retrotrapezoid Nucleus and Central Chemoreception. Advances in experimental medicine and biology. 605. 327–332. 30 indexed citations
16.
Mulkey, Daniel K., Edmund M. Talley, Ruth L. Stornetta, et al.. (2007). TASK Channels Determine pH Sensitivity in Select Respiratory Neurons But Do Not Contribute to Central Respiratory Chemosensitivity. Journal of Neuroscience. 27(51). 14049–14058. 161 indexed citations
17.
Stornetta, Ruth L., Thiago S. Moreira, Ana C. Takakura, et al.. (2006). Expression of Phox2b by Brainstem Neurons Involved in Chemosensory Integration in the Adult Rat. Journal of Neuroscience. 26(40). 10305–10314. 300 indexed citations
18.
Dean, Jay B., et al.. (2004). Hyperoxia, reactive oxygen species, and hyperventilation: oxygen sensitivity of brain stem neurons. Journal of Applied Physiology. 96(2). 784–791. 137 indexed citations
19.
Mulkey, Daniel K., Richard A. Henderson, Nick A. Ritucci, Robert W. Putnam, & Jay B. Dean. (2004). Oxidative stress decreases pHi and Na+/H+ exchange and increases excitability of solitary complex neurons from rat brain slices. American Journal of Physiology-Cell Physiology. 286(4). C940–C951. 63 indexed citations
20.
Dean, Jay B., Daniel K. Mulkey, Alfredo J. Garcia, Robert W. Putnam, & Richard A. Henderson. (2003). Neuronal sensitivity to hyperoxia, hypercapnia, and inert gases at hyperbaric pressures. Journal of Applied Physiology. 95(3). 883–909. 85 indexed citations

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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