Shannon M. Ghee

1.1k citations
13 papers · 890 indexed · h-index 12
Topics
Neurotransmitter Receptor Influence on Behavior (7 papers)Neuroendocrine regulation and behavior (5 papers)Stress Responses and Cortisol (4 papers)
Partner nations
United States

In The Last Decade

Shannon M. Ghee

13 papers receiving 881 citations

Peers

Shannon M. Ghee
Comparison fields: 5 of 47
  • Cellular and Molecular Neuroscience 619
  • Molecular Biology 301
  • Social Psychology 274
  • Cognitive Neuroscience 238
  • Behavioral Neuroscience 200
Replace Kah-Chung Leong with:
Kah-Chung Leong United States
Brittney M. Cox United States
Frédéric Chauveau France
Allison T. Knoll United States
Dinara Baimoukhametova Canada
Robert C. Twining United States
Douglas A. Caruana Canada
Akinori Ishikawa Japan
J. Andrew Hardaway United States
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Shannon M. Ghee relative to Kah-Chung Leong United States Kah-Chung Leong's profile →
Citations per field
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Kah-Chung Leong · 1×
Citations per year

Countries citing papers authored by Shannon M. Ghee

Since Specialization
Citations

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

Fields of papers citing papers by Shannon M. Ghee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shannon M. Ghee

This figure shows the co-authorship network connecting the top 25 collaborators of Shannon M. Ghee. A scholar is included among the top collaborators of Shannon M. Ghee 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 Shannon M. Ghee. Shannon M. Ghee 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 31
2 24
3 1
4 16
5 52
6 39
7 46
8 126
9 50
10 110
11 65
12 163
13 167

About Shannon M. Ghee

Shannon M. Ghee is a scholar working on Behavioral Neuroscience, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience, having authored 13 papers that have together received 890 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (7 papers), Neuroendocrine regulation and behavior (5 papers) and Stress Responses and Cortisol (4 papers). The work is most often cited by research in Behavioral Neuroscience (200 citations), Cellular and Molecular Neuroscience (619 citations) and Endocrine and Autonomic Systems (136 citations). Shannon M. Ghee has collaborated with scholars based in United States. Frequent co-authors include Ronald E. See, Carmela M. Reichel, R.E. See, June Rogers, Matthew W. Feltenstein, Clifford Chan, Luyi Zhou, Scott W. Miller, Jacqueline F. McGinty and Timothy W. Whitfield. Their work appears in journals such as Neuroscience, Journal of Pharmacology and Experimental Therapeutics and Neuropsychopharmacology.

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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