Danielle Gulick

1.0k total citations
38 papers, 804 citations indexed

About

Danielle Gulick is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Endocrine and Autonomic Systems. According to data from OpenAlex, Danielle Gulick has authored 38 papers receiving a total of 804 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cellular and Molecular Neuroscience, 11 papers in Molecular Biology and 11 papers in Endocrine and Autonomic Systems. Recurrent topics in Danielle Gulick's work include Circadian rhythm and melatonin (10 papers), Neurotransmitter Receptor Influence on Behavior (8 papers) and Nicotinic Acetylcholine Receptors Study (7 papers). Danielle Gulick is often cited by papers focused on Circadian rhythm and melatonin (10 papers), Neurotransmitter Receptor Influence on Behavior (8 papers) and Nicotinic Acetylcholine Receptors Study (7 papers). Danielle Gulick collaborates with scholars based in United States. Danielle Gulick's co-authors include Thomas J. Gould, Joshua J. Gamsby, Laura J. Blair, Korey D. Stevanovic, Jeremy D. Baker, Marcia N. Gordon, David Morgan, Alan I. Green, Aurélie Joly‐Amado and G. C. Evans and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Neuroscience.

In The Last Decade

Danielle Gulick

37 papers receiving 785 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danielle Gulick United States 20 281 269 229 167 166 38 804
Angela R. Ozburn United States 21 407 1.4× 246 0.9× 352 1.5× 209 1.3× 428 2.6× 45 1.1k
Terry Gemelli United States 7 391 1.4× 306 1.1× 266 1.2× 166 1.0× 347 2.1× 9 1.2k
Alexander W. Johnson United States 19 463 1.6× 216 0.8× 428 1.9× 117 0.7× 299 1.8× 47 1.1k
Edgardo Falcón United States 14 334 1.2× 181 0.7× 307 1.3× 155 0.9× 466 2.8× 15 926
Daniel Clesse France 12 282 1.0× 169 0.6× 159 0.7× 126 0.8× 312 1.9× 14 629
Huili Han China 17 529 1.9× 245 0.9× 324 1.4× 182 1.1× 153 0.9× 30 1.2k
Gilberto Fernando Xavier Brazil 19 344 1.2× 139 0.5× 382 1.7× 153 0.9× 229 1.4× 73 1.1k
Danielle M. Friend United States 11 395 1.4× 190 0.7× 177 0.8× 116 0.7× 72 0.4× 14 735
Teemu Aitta‐aho Finland 15 445 1.6× 250 0.9× 297 1.3× 64 0.4× 140 0.8× 32 758
Cristina Núñez Spain 18 436 1.6× 219 0.8× 151 0.7× 106 0.6× 119 0.7× 35 729

Countries citing papers authored by Danielle Gulick

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Gulick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle Gulick. 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 Danielle Gulick. The network helps show where Danielle Gulick may publish in the future.

Co-authorship network of co-authors of Danielle Gulick

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle Gulick. A scholar is included among the top collaborators of Danielle Gulick 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 Danielle Gulick. Danielle Gulick 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
1.
Wang, Shuai, et al.. (2024). Fkbp5 gene deletion: Circadian rhythm profile and brain proteomics in aged mice. Aging Cell. 23(12). e14314–e14314. 2 indexed citations
2.
Gulick, Danielle, et al.. (2024). Matching Against Men: 5 Years of Residency Match Data Show Disparities Still Exist. Southern Medical Journal. 117(4). 187–192. 1 indexed citations
3.
Morris, Christopher, John A. Faulkner, April L. Lussier, et al.. (2024). DISC1 and reelin interact to alter cognition, inhibition, and neurogenesis in a novel mouse model of schizophrenia. Frontiers in Cellular Neuroscience. 17. 1321632–1321632. 3 indexed citations
4.
5.
González, David, et al.. (2022). Circadian rhythm shifts and alcohol access in adolescence synergistically increase alcohol preference and intake in adulthood in male C57BL/6 mice. Behavioural Brain Research. 438. 114216–114216. 5 indexed citations
6.
Kumar, Ambuj, et al.. (2022). Association of an Early Interest in Orthopedic Surgery with Match Rate into Orthopedic Surgery. Southern Medical Journal. 115(11). 813–817. 1 indexed citations
7.
Joly‐Amado, Aurélie, et al.. (2022). Improving Gene Therapy for Angelman Syndrome with Secreted Human UBE3A. Neurotherapeutics. 19(4). 1329–1339. 5 indexed citations
8.
Gamsby, Joshua J., et al.. (2021). Impact of Alcohol Abuse on Susceptibility to Rare Neurodegenerative Diseases. Frontiers in Molecular Biosciences. 8. 643273–643273. 14 indexed citations
9.
Gulick, Danielle, et al.. (2021). The Molecular Clock and Neurodegenerative Disease: A Stressful Time. Frontiers in Molecular Biosciences. 8. 644747–644747. 29 indexed citations
10.
Criado‐Marrero, Marangelie, et al.. (2020). FKBP5 and early life stress affect the hippocampus by an age-dependent mechanism. Brain Behavior & Immunity - Health. 9. 100143–100143. 27 indexed citations
11.
Gulick, Danielle, et al.. (2019). Morphometric analysis of the second through fifth metacarpal through posteroanterior X‐Rays. Clinical Anatomy. 33(7). 1014–1018. 1 indexed citations
12.
Sundaram, Saranya S., John A. Faulkner, Charles P. Bloom, et al.. (2019). Inhibition of casein kinase 1δ/εimproves cognitive-affective behavior and reduces amyloid load in the APP-PS1 mouse model of Alzheimer’s disease. Scientific Reports. 9(1). 13743–13743. 24 indexed citations
13.
Baker, Jeremy D., et al.. (2018). Hsp90 Heterocomplexes Regulate Steroid Hormone Receptors: From Stress Response to Psychiatric Disease. International Journal of Molecular Sciences. 20(1). 79–79. 54 indexed citations
14.
Gamsby, Joshua J. & Danielle Gulick. (2015). Chronic shifts in the length and phase of the light cycle increase intermittent alcohol drinking in C57BL/6J mice. Frontiers in Behavioral Neuroscience. 9. 9–9. 16 indexed citations
15.
Gulick, Danielle, David T. Chau, Jibran Y. Khokhar, Ree Dawson, & Alan I. Green. (2014). Desipramine enhances the ability of risperidone to decrease alcohol intake in the Syrian golden hamster. Psychiatry Research. 218(3). 329–334. 8 indexed citations
16.
17.
Gulick, Danielle & Thomas J. Gould. (2009). Effects of ethanol and caffeine on behavior in C57BL/6 mice in the plus-maze discriminative avoidance task.. Behavioral Neuroscience. 123(6). 1271–1278. 32 indexed citations
18.
Gulick, Danielle & Thomas J. Gould. (2009). Interactive effects of ethanol and nicotine on learning, anxiety, and locomotion in C57BL/6 mice in the plus-maze discriminative avoidance task. Neuropharmacology. 57(3). 302–310. 24 indexed citations
19.
Chau, David T., Danielle Gulick, Haiyi Xie, Ree Dawson, & Alan I. Green. (2009). Clozapine chronically suppresses alcohol drinking in Syrian golden hamsters. Neuropharmacology. 58(2). 351–356. 21 indexed citations
20.
Gulick, Danielle & Thomas J. Gould. (2007). Acute Ethanol Has Biphasic Effects on Short‐ and Long‐Term Memory in Both Foreground and Background Contextual Fear Conditioning in C57BL/6 Mice. Alcoholism Clinical and Experimental Research. 31(9). 1528–1537. 53 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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