David L. Haggerty

563 citations
16 papers · 300 · h-index 9

Impact in

Papers in

David L. Haggerty

14 papers receiving 298 citations

Peers

David L. Haggerty
Comparison fields: 5 of 62
  • Cellular and Molecular Neuroscience 127
  • Endocrine and Autonomic Systems 28
  • Behavioral Neuroscience 13
  • Cognitive Neuroscience 69
  • Developmental Neuroscience 10
Replace Jong‐Hyun Son with:
Jong‐Hyun Son United States
Nicole Ochandarena United States
Alison R. Weiss United States
Adrienne C. Philson United States
Vera Kiyasova France
Samantha L. Hodges United States
Sandra Bráz Brazil
Diego E. Pafundo Argentina
Anes Ju South Korea
Qiumin Le China
David L. Haggerty relative to Jong‐Hyun Son United States Jong‐Hyun Son's profile →
Citations per field
00.5×4.2×
Jong‐Hyun Son · 1×
Citations per year

Countries citing papers authored by David L. Haggerty

Since Specialization
Citations

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

Fields of papers citing papers by David L. Haggerty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David L. Haggerty. 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 David L. Haggerty. The network helps show where David L. Haggerty may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201981
2 202173
3 202024
4 202221
5 202121
6 202018
7 202018
8 201917
9 202214
10 20235
11 20243
12 20252
13 20242
14
Synapse-specific expression of mu opioid receptor long-term depression in the dorsomedial striatum
20201
15 20240
16 20260

About David L. Haggerty

David L. Haggerty is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Physiology and Pediatrics, Perinatology and Child Health, having authored 16 papers that have together received 300 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (8 papers), Neuroscience and Neuropharmacology Research (5 papers), Memory and Neural Mechanisms (3 papers), Prenatal Substance Exposure Effects (2 papers), Adipose Tissue and Metabolism (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Virus-based gene therapy research (1 paper) and Pain Mechanisms and Treatments (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (127 citations), Endocrine and Autonomic Systems (28 citations), Behavioral Neuroscience (13 citations), Cognitive Neuroscience (69 citations) and Developmental Neuroscience (10 citations). David L. Haggerty has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Brady K. Atwood, Gregory G. Grecco, Samuel W. Centanni, Amy C. Janes, F. Woodward Hopf, Braulio Muñoz, Yong Gao, Brandon M. Fritz, Gonzalo Viana Di Prisco and Fuqin Yin. Their work appears in journals such as Addiction Biology, eLife, Frontiers in Pharmacology, Neuropharmacology and Journal of Neurochemistry.

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