Danielle S. Kroll

476 citations
16 papers · 265 · h-index 10

Impact in

Papers in

Danielle S. Kroll

15 papers receiving 262 citations

Peers

Danielle S. Kroll
Comparison fields: 5 of 70
  • Endocrine and Autonomic Systems 30
  • Cognitive Neuroscience 85
  • Sensory Systems 16
  • Cellular and Molecular Neuroscience 56
  • Experimental and Cognitive Psychology 36
Replace Christopher Kure Liu with:
Christopher Kure Liu United States
Marina Goldman United States
Amanda Norman Australia
Wuhai Tao China
Kristen Coveleskie United States
S. Clos Spain
Briana J. Hempel United States
Sarah Elsabagh United Kingdom
Jill A. Dalton United States
Alejandra Mondragón‐Maya Mexico
Danielle S. Kroll relative to Christopher Kure Liu United States Christopher Kure Liu's profile →
Citations per field
00.5×1.5×2.3×
Christopher Kure Liu · 1×
Citations per year

Countries citing papers authored by Danielle S. Kroll

Since Specialization
Citations

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

Fields of papers citing papers by Danielle S. Kroll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201950
2 202040
3 202030
4 201930
5 202124
6 202122
7 202120
8 202113
9 202010
10 20229
11 20237
12 20236
13 20222
14 20221
15 20231
16 20220

About Danielle S. Kroll

Danielle S. Kroll is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Experimental and Cognitive Psychology, Epidemiology and Pathology and Forensic Medicine, having authored 16 papers that have together received 265 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (5 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), Sleep and related disorders (4 papers), Sleep and Wakefulness Research (4 papers), EEG and Brain-Computer Interfaces (3 papers), Attention Deficit Hyperactivity Disorder (2 papers), Alcohol Consumption and Health Effects (2 papers) and Substance Abuse Treatment and Outcomes (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (30 citations), Cognitive Neuroscience (85 citations), Sensory Systems (16 citations), Cellular and Molecular Neuroscience (56 citations) and Experimental and Cognitive Psychology (36 citations). Danielle S. Kroll has collaborated with scholars based in United States and China. Frequent co-authors include Peter Manza, Nora D. Volkow, Dana E. Feldman, Gene‐Jack Wang, Corinde E. Wiers, Katherine McPherson, Dardo Tomasi, Jamie Burns, Christopher Kure Liu and Ehsan Shokri‐Kojori. Their work appears in journals such as Cerebral Cortex, Drug and Alcohol Dependence, Nutrients, Frontiers in Psychiatry and Research and Practice in Thrombosis and Haemostasis.

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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