Danielle M. Friend

1.0k citations
14 papers · 735 indexed · h-index 11
Topics
Neurotransmitter Receptor Influence on Behavior (9 papers)Neuroscience and Neuropharmacology Research (5 papers)Receptor Mechanisms and Signaling (4 papers)

In The Last Decade

Danielle M. Friend

14 papers receiving 725 citations

Peers

Danielle M. Friend
Comparison fields: 5 of 81
  • Cellular and Molecular Neuroscience 395
  • Molecular Biology 190
  • Cognitive Neuroscience 177
  • Physiology 116
  • Neurology 103
Replace Armando G. Salinas with:
Armando G. Salinas United States
Ana Verónica Domingues Portugal
Juan Carlos Pineda Mexico
Stephanie M. Perez United States
Christy A. Itoga United States
Rodrigo Moraga‐Amaro Chile
Samuel W. Centanni United States
Marion Rivalan Germany
Fereshteh S. Nugent United States
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Danielle M. Friend relative to Armando G. Salinas United States Armando G. Salinas's profile →
Citations per field
00.5×3.2×
Armando G. Salinas · 1×
Citations per year

Countries citing papers authored by Danielle M. Friend

Since Specialization
Citations

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

Fields of papers citing papers by Danielle M. Friend

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle M. Friend

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 28
2 39
3 38
4 100
5 89
6 5
7 3
8 275
9 70
10 16
11 10
12 40
13 13
14 9

About Danielle M. Friend

Danielle M. Friend is a scholar working on Cellular and Molecular Neuroscience, Toxicology and Developmental Neuroscience, having authored 14 papers that have together received 735 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (9 papers), Neuroscience and Neuropharmacology Research (5 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Biological Psychiatry (82 citations), Behavioral Neuroscience (98 citations) and Cellular and Molecular Neuroscience (395 citations). Danielle M. Friend has collaborated with scholars based in United States, Argentina and Mexico. Frequent co-authors include Alexxai V. Kravitz, Kristen A. Keefe, Timothy J. O’Neal, T. Chase Francis, Mary Kay Lobo, Sergio D. Iñiguez, Ramesh Chandra, Julie M. Brooks, Eric A. Finkel and Patricio O’Donnell. Their work appears in journals such as Neuron, Cell Metabolism and Trends in Neurosciences.

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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