Daniel W. Curry

1.1k total citations · 1 hit paper
10 papers, 740 citations indexed

About

Daniel W. Curry is a scholar working on Clinical Psychology, Cellular and Molecular Neuroscience and Social Psychology. According to data from OpenAlex, Daniel W. Curry has authored 10 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Clinical Psychology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Social Psychology. Recurrent topics in Daniel W. Curry's work include Neuroendocrine regulation and behavior (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers) and Psychedelics and Drug Studies (3 papers). Daniel W. Curry is often cited by papers focused on Neuroendocrine regulation and behavior (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers) and Psychedelics and Drug Studies (3 papers). Daniel W. Curry collaborates with scholars based in United States, Australia and Switzerland. Daniel W. Curry's co-authors include Elissar Andari, James P. Burkett, Zachary V. Johnson, Frans Β. Μ. de Waal, Larry J. Young, John D. Elsworth, Bernardo Stutz, Zane B. Andrews, Leonard L. Howell and Matthew B. Young and has published in prestigious journals such as Science, Journal of Neuroscience and Neuroscience.

In The Last Decade

Daniel W. Curry

10 papers receiving 731 citations

Hit Papers

Oxytocin-dependent consolation behavior in rodents 2016 2026 2019 2022 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel W. Curry United States 9 429 154 149 142 119 10 740
Assunta Pompili Italy 17 148 0.3× 113 0.7× 165 1.1× 267 1.9× 209 1.8× 36 845
Shu-Cheng An China 15 303 0.7× 134 0.9× 279 1.9× 56 0.4× 149 1.3× 36 724
Deanna L. Wallace United States 13 181 0.4× 99 0.6× 162 1.1× 358 2.5× 403 3.4× 15 987
Iulia Zoicas Germany 14 440 1.0× 101 0.7× 188 1.3× 127 0.9× 197 1.7× 35 727
Eun Joo Kim United States 13 311 0.7× 53 0.3× 403 2.7× 400 2.8× 256 2.2× 27 1.0k
Eastman M. Lewis United States 8 421 1.0× 139 0.9× 129 0.9× 167 1.2× 233 2.0× 12 855
Elizabeth I. Martin United States 5 107 0.2× 104 0.7× 128 0.9× 124 0.9× 103 0.9× 6 589
Sarah J. Baracz Australia 16 487 1.1× 105 0.7× 192 1.3× 90 0.6× 256 2.2× 29 741
V M SIMON Spain 14 283 0.7× 150 1.0× 284 1.9× 81 0.6× 311 2.6× 22 971
Sarah A. Stuart United Kingdom 12 143 0.3× 55 0.4× 209 1.4× 102 0.7× 226 1.9× 16 657

Countries citing papers authored by Daniel W. Curry

Since Specialization
Citations

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

Fields of papers citing papers by Daniel W. Curry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel W. Curry

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

All Works

10 of 10 papers shown
1.
Curry, Daniel W., et al.. (2020). Pioglitazone activates paraoxonase-2 in the brain: A novel neuroprotective mechanism. Experimental Neurology. 327. 113234–113234. 21 indexed citations
2.
Curry, Daniel W., et al.. (2019). Sensitization to the prosocial effects of 3,4-methylenedioxymethamphetamine (MDMA). Neuropharmacology. 151. 13–20. 12 indexed citations
3.
Stutz, Bernardo, Daniel W. Curry, Liu Hon, et al.. (2019). Dopamine neuronal protection in the mouse Substantia nigra by GHSR is independent of electric activity. Molecular Metabolism. 24. 120–138. 9 indexed citations
4.
Groman, Stephanie M., et al.. (2018). Neurochemical and Behavioral Dissections of Decision-Making in a Rodent Multistage Task. Journal of Neuroscience. 39(2). 295–306. 23 indexed citations
5.
Curry, Daniel W., Bernardo Stutz, Zane B. Andrews, & John D. Elsworth. (2018). Targeting AMPK Signaling as a Neuroprotective Strategy in Parkinson’s Disease. Journal of Parkinson s Disease. 8(2). 161–181. 120 indexed citations
6.
Pitts, Elizabeth G., et al.. (2017). (±)-MDMA and its enantiomers: potential therapeutic advantages of R(−)-MDMA. Psychopharmacology. 235(2). 377–392. 34 indexed citations
8.
Burkett, James P., Elissar Andari, Zachary V. Johnson, et al.. (2016). Oxytocin-dependent consolation behavior in rodents. Science. 351(6271). 375–378. 444 indexed citations breakdown →
9.
Morrison, Kathleen E., Daniel W. Curry, & Matthew A. Cooper. (2012). Social status alters defeat-induced neural activation in Syrian hamsters. Neuroscience. 210. 168–178. 39 indexed citations
10.
Basadonna, Giacomo, Cecilia Chao, C Swanson, et al.. (1995). Effect of warm ischemia on insulin secretion in non-heart-beating donors.. PubMed. 27(5). 2793–4. 2 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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