Daniel C. Lowes

665 total citations
10 papers, 390 citations indexed

About

Daniel C. Lowes is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Daniel C. Lowes has authored 10 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 5 papers in Cognitive Neuroscience and 3 papers in Molecular Biology. Recurrent topics in Daniel C. Lowes's work include Neuroscience and Neuropharmacology Research (9 papers), Memory and Neural Mechanisms (5 papers) and Neurotransmitter Receptor Influence on Behavior (4 papers). Daniel C. Lowes is often cited by papers focused on Neuroscience and Neuropharmacology Research (9 papers), Memory and Neural Mechanisms (5 papers) and Neurotransmitter Receptor Influence on Behavior (4 papers). Daniel C. Lowes collaborates with scholars based in United States, Switzerland and Argentina. Daniel C. Lowes's co-authors include David H. Brann, Steven A. Siegelbaum, Richard Warren, Arjun V. Masurkar, Michael C. Salling, Alexander Z. Harris, Neil L. Harrison, Kalyan V. Srinivas, Atheir I. Abbas and Joshua A. Gordon and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Daniel C. Lowes

10 papers receiving 387 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel C. Lowes United States	9	263	195	87	44	36	10	390
Rodrigo Neves Romcy-Pereira Brazil	16	364 1.4×	317 1.6×	123 1.4×	37 0.8×	31 0.9×	25	576
Hardy Hagena Germany	11	346 1.3×	249 1.3×	97 1.1×	85 1.9×	27 0.8×	15	448
Brian H. Trieu United States	9	217 0.8×	114 0.6×	105 1.2×	39 0.9×	38 1.1×	10	345
Simone Pfarr Germany	8	231 0.9×	173 0.9×	94 1.1×	23 0.5×	27 0.8×	9	343
Harold L. Haun United States	10	276 1.0×	109 0.6×	117 1.3×	32 0.7×	65 1.8×	19	397
Feifei Ge China	11	211 0.8×	115 0.6×	109 1.3×	39 0.9×	33 0.9×	33	349
Omar Soler‐Cedeño United States	10	182 0.7×	119 0.6×	75 0.9×	33 0.8×	52 1.4×	17	279
Iván Fernández‐Lamo Spain	10	258 1.0×	220 1.1×	122 1.4×	39 0.9×	30 0.8×	14	493
Barbara Gisabella United States	11	222 0.8×	174 0.9×	100 1.1×	48 1.1×	60 1.7×	22	418
Shu-Xia Cao China	9	231 0.9×	136 0.7×	159 1.8×	41 0.9×	40 1.1×	15	443

Countries citing papers authored by Daniel C. Lowes

Since Specialization

Citations

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

Fields of papers citing papers by Daniel C. Lowes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel C. Lowes

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

All Works

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10 of 10 papers shown

Lowes, Daniel C. & Alexander Z. Harris. (2022). Stressed and wired: The effects of stress on the VTA circuits underlying motivated behavior. Current Opinion in Endocrine and Metabolic Research. 26. 100388–100388. 7 indexed citations

Martyniuk, Kelly, et al.. (2022). Dopamine D2Rs coordinate cue-evoked changes in striatal acetylcholine levels. eLife. 11. 9 indexed citations

Lowes, Daniel C., Emma S. Holt, Atheir I. Abbas, et al.. (2021). Ventral tegmental area GABA neurons mediate stress-induced blunted reward-seeking in mice. Nature Communications. 12(1). 3539–3539. 48 indexed citations

Park, Alan Jung, Alexander Z. Harris, Kelly Martyniuk, et al.. (2021). Reset of hippocampal–prefrontal circuitry facilitates learning. Nature. 591(7851). 615–619. 70 indexed citations

Masurkar, Arjun V., et al.. (2020). Postsynaptic integrative properties of dorsal CA1 pyramidal neuron subpopulations. Journal of Neurophysiology. 123(3). 980–992. 17 indexed citations

Harrison, Neil L., et al.. (2017). Effects of acute alcohol on excitability in the CNS. Neuropharmacology. 122. 36–45. 70 indexed citations

Masurkar, Arjun V., Kalyan V. Srinivas, David H. Brann, et al.. (2017). Medial and Lateral Entorhinal Cortex Differentially Excite Deep versus Superficial CA1 Pyramidal Neurons. Cell Reports. 18(1). 148–160. 82 indexed citations

Lowes, Daniel C., Michael C. Salling, Yuri A. Blednov, et al.. (2017). Glycine receptor α3 and α2 subunits mediate tonic and exogenous agonist-induced currents in forebrain. Proceedings of the National Academy of Sciences. 114(34). E7179–E7186. 47 indexed citations

Paine, Tracie A., et al.. (2015). Effects of chronic inhibition of GABA synthesis on attention and impulse control. Pharmacology Biochemistry and Behavior. 135. 97–104. 20 indexed citations

10.

Paine, Tracie A., et al.. (2014). Effects of disrupting medial prefrontal cortex GABA transmission on decision-making in a rodent gambling task. Psychopharmacology. 232(10). 1755–1765. 20 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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