Pamela Kennedy

6.0k citations
46 papers · 3.5k indexed · 1 hit paper · h-index 27
Topics
Neurotransmitter Receptor Influence on Behavior (10 papers)Neuroscience and Neuropharmacology Research (8 papers)Epigenetics and DNA Methylation (7 papers)
Partner nations
United StatesItalyCanada

In The Last Decade

Pamela Kennedy

45 papers receiving 3.3k citations

Hit Papers

Cell Type–Specific Loss of BDNF Signaling Mimics Optogene...20102026201520202010200400600

Peers

Pamela Kennedy
Comparison fields: 5 of 133
  • Cellular and Molecular Neuroscience 1.4k
  • Molecular Biology 1.2k
  • Cognitive Neuroscience 735
  • Behavioral Neuroscience 481
  • Biological Psychiatry 405
Replace Jeffrey W. Grimm with:
Jeffrey W. Grimm United States
Shigeru Watanabe Japan
Michael Tsoory Israel
Jill L. Silverman United States
Oliver Stiedl Germany
Laura K. Fonken United States
Peter Saetre Sweden
Douglas A. Craig Canada
Tara A. LeGates United States
James C. Walton United States
Pamela Kennedy relative to Jeffrey W. Grimm United States Jeffrey W. Grimm's profile →
Citations per field
00.5×3.7×
Jeffrey W. Grimm · 1×
Citations per year

Countries citing papers authored by Pamela Kennedy

Since Specialization
Citations

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

Fields of papers citing papers by Pamela Kennedy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pamela Kennedy. 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 Pamela Kennedy. The network helps show where Pamela Kennedy may publish in the future.

Co-authorship network of co-authors of Pamela Kennedy

This figure shows the co-authorship network connecting the top 25 collaborators of Pamela Kennedy. A scholar is included among the top collaborators of Pamela Kennedy 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 Pamela Kennedy. Pamela Kennedy 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
#WorkIndexed citations
1 9
2 21
3 63
4 72
5 9
6 105
7 5
8 133
9 62
10 64
11 14
12 131
13 249
14 108
15 131
16 55
17 55
18 114
19 49
20 67

About Pamela Kennedy

Pamela Kennedy is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Cellular and Molecular Neuroscience, having authored 46 papers that have together received 3.5k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (10 papers), Neuroscience and Neuropharmacology Research (8 papers) and Epigenetics and DNA Methylation (7 papers). The work is most often cited by research in Biological Psychiatry (405 citations), Behavioral Neuroscience (481 citations) and Cellular and Molecular Neuroscience (1.4k citations). Pamela Kennedy has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Eric J. Nestler, HaoSheng Sun, Matthew L. Shapiro, Rachael L. Neve, David Dietz, Diane Damez-Werno, Mary Kay Lobo, Dipesh Chaudhury, William L. Marshall and Ezekiell Mouzon. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Medicine.

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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