Danielle Gulick

37 papers receiving 841 citations

Peers

Danielle Gulick
Comparison fields: 5 of 90
  • Biological Psychiatry 96
  • Behavioral Neuroscience 117
  • Endocrine and Autonomic Systems 165
  • Aging 24
  • Cellular and Molecular Neuroscience 242
Replace Jaswinder Kumar with:
Jaswinder Kumar United States
Amanda M. Wunsch United States
Angela Renee Ozburn United States
Bridget A. Matikainen‐Ankney United States
Rachel A. Daut United States
Lara M. Boyle United States
Rebecca J. Yang United States
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Danielle Gulick relative to Jaswinder Kumar United States Jaswinder Kumar's profile →
Citations per field
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Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201771
2 201360
3 201860
4 200756
5 201549
6 201044
7 200743
8 201840
9 200836
10 200834
11 202033
12 200933
13 200931
14 202131
15 201026
16 201926
17 200925
18 202025
19 200921
20 200920

About Danielle Gulick

Danielle Gulick is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Behavioral Neuroscience, Biological Psychiatry and Physiology, having authored 40 papers that have together received 861 indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (10 papers), Nicotinic Acetylcholine Receptors Study (7 papers), Neurotransmitter Receptor Influence on Behavior (6 papers), Stress Responses and Cortisol (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Tryptophan and brain disorders (3 papers), Schizophrenia research and treatment (3 papers) and Memory and Neural Mechanisms (3 papers). The work is most often cited by research in Biological Psychiatry (96 citations), Behavioral Neuroscience (117 citations), Endocrine and Autonomic Systems (165 citations), Aging (24 citations) and Cellular and Molecular Neuroscience (242 citations). Danielle Gulick has collaborated with scholars based in United States. Frequent co-authors include Thomas J. Gould, Joshua J. Gamsby, Laura J. Blair, Korey D. Stevanovic, Jeremy D. Baker, Aurélie Joly‐Amado, Alan I. Green, David Gene Morgan, Marcia N. Gordon and Raymond F. Suckow. Their work appears in journals such as Frontiers in Behavioral Neuroscience, Behavioural Brain Research, Frontiers in Molecular Biosciences, Scientific Reports and Neuropharmacology.

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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