James A. D’amour

2.0k citations
13 papers · 1.3k indexed · 1 hit paper · h-index 12
Topics
Neuroscience and Neuropharmacology Research (8 papers)Neural dynamics and brain function (4 papers)Pain Mechanisms and Treatments (3 papers)

In The Last Decade

James A. D’amour

13 papers receiving 1.3k citations

Hit Papers

Oxytocin enables maternal behaviour by balancing cortical...20152026201820222015100200300400500

Peers

James A. D’amour
Comparison fields: 5 of 95
  • Cellular and Molecular Neuroscience 534
  • Social Psychology 499
  • Cognitive Neuroscience 472
  • Physiology 306
  • Endocrine and Autonomic Systems 190
Replace Laura A. DeNardo with:
Laura A. DeNardo United States
Susanna Pietropaolo France
David H. Root United States
Miho Nakajima Japan
Caitlin M. Vander Weele United States
Vijay Mohan K Namboodiri United States
Jose Rodríguez-Romaguera United States
Edward H. Nieh United States
Viveka Hillegaart Sweden
Diego Scheggia Italy
James A. D’amour relative to Laura A. DeNardo United States Laura A. DeNardo's profile →
Citations per field
00.5×4.8×
Laura A. DeNardo · 1×
Citations per year

Countries citing papers authored by James A. D’amour

Since Specialization
Citations

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

Fields of papers citing papers by James A. D’amour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James A. D’amour. 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 James A. D’amour. The network helps show where James A. D’amour may publish in the future.

Co-authorship network of co-authors of James A. D’amour

This figure shows the co-authorship network connecting the top 25 collaborators of James A. D’amour. A scholar is included among the top collaborators of James A. D’amour 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 James A. D’amour. James A. D’amour is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 15
2 5
3 52
4 25
5 130
6 133
7 12
8
Oxytocin enables maternal behaviour by balancing cortical inhibitionbreakdown →
507
9 28
10 40
11 220
12 114
13 13

About James A. D’amour

James A. D’amour is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Cognitive Neuroscience, having authored 13 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (8 papers), Neural dynamics and brain function (4 papers) and Pain Mechanisms and Treatments (3 papers). The work is most often cited by research in Behavioral Neuroscience (186 citations), Cellular and Molecular Neuroscience (534 citations) and Endocrine and Autonomic Systems (190 citations). James A. D’amour has collaborated with scholars based in United States, Slovakia and Finland. Frequent co-authors include Robert C. Froemke, Bianca Jones Marlin, Moses V. Chao, Mariela Mitre, Jing Wang, Michelle Lee, Chen Su, Toby Manders, Karl Deisseroth and Runtao Yang. Their work appears in journals such as Nature, Neuron and Journal of Neuroscience.

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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