Jennifer E. Learn

526 citations
9 papers · 467 · h-index 7

Impact in

Papers in

Jennifer E. Learn

8 papers receiving 450 citations

Peers

Jennifer E. Learn
Comparison fields: 5 of 47
  • Cellular and Molecular Neuroscience 234
  • Epidemiology 168
  • Cognitive Neuroscience 93
  • Toxicology 21
  • Behavioral Neuroscience 7
Replace Yasmin Mashhoon with:
Yasmin Mashhoon United States
Stephanie A Carmack United States
Jobst Boening Germany
Brandon Martin United States
Samuel Asensio Spain
Joar Guterstam Sweden
Ulrich Frischknecht Germany
H. Walter Austria
Mareen Hoerst Germany
Anne Marije Kaag Netherlands
Jennifer E. Learn relative to Yasmin Mashhoon United States Yasmin Mashhoon's profile →
Citations per field
00.5×2×3×4.2×
Yasmin Mashhoon · 1×
Citations per year

Countries citing papers authored by Jennifer E. Learn

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer E. Learn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer E. Learn. 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 Jennifer E. Learn. The network helps show where Jennifer E. Learn may publish in the future.

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2004339
2 200133
3 200233
4 200120
5 200314
6 200113
7 20027
8 20016
9 20012

About Jennifer E. Learn

Jennifer E. Learn is a scholar working on Cellular and Molecular Neuroscience, Epidemiology, Pathology and Forensic Medicine, Cognitive Neuroscience and Nuclear Energy and Engineering, having authored 9 papers that have together received 467 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (8 papers), Substance Abuse Treatment and Outcomes (2 papers), Hearing Loss and Rehabilitation (1 paper), Alcohol Consumption and Health Effects (1 paper), Neuroscience and Music Perception (1 paper), Neuropeptides and Animal Physiology (1 paper), Neuroscience and Neuropharmacology Research (1 paper) and Neurobiology of Language and Bilingualism (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (234 citations), Epidemiology (168 citations), Cognitive Neuroscience (93 citations), Toxicology (21 citations) and Behavioral Neuroscience (7 citations). Jennifer E. Learn has collaborated with scholars based in United States. Frequent co-authors include Walter W Ling, Steven M. Berman, Varughese Kurian, Sara L. Simon, Ann K. Shinn, Roger P. Woods, Jennifer E. Bramen, Richard A. Rawson, Thomas F. Newton and Karen A. Miotto. Their work appears in journals such as Alcoholism Clinical and Experimental Research, Alcohol, Hearing Research, Pharmacology Biochemistry and Behavior and Archives of General Psychiatry.

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.

Explore authors with similar magnitude of impact