Christopher S. Freet

516 total citations
23 papers, 391 citations indexed

About

Christopher S. Freet is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Christopher S. Freet has authored 23 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cellular and Molecular Neuroscience, 7 papers in Molecular Biology and 6 papers in Cognitive Neuroscience. Recurrent topics in Christopher S. Freet's work include Neurotransmitter Receptor Influence on Behavior (11 papers), Neuroscience and Neuropharmacology Research (5 papers) and Receptor Mechanisms and Signaling (5 papers). Christopher S. Freet is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (11 papers), Neuroscience and Neuropharmacology Research (5 papers) and Receptor Mechanisms and Signaling (5 papers). Christopher S. Freet collaborates with scholars based in United States and India. Christopher S. Freet's co-authors include Patricia S. Grigson, Xiaorui Tang, Robert C. Twining, Ellen J. Hess, Kiyoshi Egami, Scott C. Bunce, A. Hajnal, Ann M. Rogers, Cathy Steffen and Eric J. Nestler and has published in prestigious journals such as Scientific Reports, Physiology & Behavior and Behavioral Neuroscience.

In The Last Decade

Christopher S. Freet

22 papers receiving 387 citations

Peers

Christopher S. Freet
Comparison fields: 5 of 59
  • Cellular and Molecular Neuroscience 220
  • Molecular Biology 100
  • Physiology 85
  • Cognitive Neuroscience 84
  • Endocrine and Autonomic Systems 66
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Citations per field, relative to Christopher S. Freet
Christopher S. Freet · 1×
Citations per year, relative to Christopher S. Freet
Christopher S. Freet · 1×

Countries citing papers authored by Christopher S. Freet

Since Specialization
Citations

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

Fields of papers citing papers by Christopher S. Freet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher S. Freet

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 5
4 5
5 13
6 9
7 24
8 4
9 15
10 5
11 7
12 54
13 11
14 9
15 8
16 10
17 59
18 16
19 72
20 55

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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