Rachel D. Slack

910 total citations
23 papers, 718 citations indexed

About

Rachel D. Slack is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Rachel D. Slack has authored 23 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 10 papers in Molecular Biology and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Rachel D. Slack's work include Neurotransmitter Receptor Influence on Behavior (10 papers), Receptor Mechanisms and Signaling (6 papers) and Neuroscience and Neuropharmacology Research (4 papers). Rachel D. Slack is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (10 papers), Receptor Mechanisms and Signaling (6 papers) and Neuroscience and Neuropharmacology Research (4 papers). Rachel D. Slack collaborates with scholars based in United States, United Kingdom and Denmark. Rachel D. Slack's co-authors include Gary H. Posner, Darryl Jones, S. Squires, K. R. H. Wooldridge, Jill P. Pell, Amy Hauck Newman, Andrew D. Flapan, S. Harding, David E. Newby and Nicholas L. Cruden and has published in prestigious journals such as Journal of Medicinal Chemistry, Neuropsychopharmacology and Psychopharmacology.

In The Last Decade

Rachel D. Slack

23 papers receiving 683 citations

Peers

Rachel D. Slack
Comparison fields: 5 of 82
  • Organic Chemistry 219
  • Molecular Biology 191
  • Cardiology and Cardiovascular Medicine 182
  • Cellular and Molecular Neuroscience 174
  • Surgery 131
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Citations per field, relative to Rachel D. Slack
Rachel D. Slack · 1×
Citations per year, relative to Rachel D. Slack
Rachel D. Slack · 1×

Countries citing papers authored by Rachel D. Slack

Since Specialization
Citations

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

Fields of papers citing papers by Rachel D. Slack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rachel D. Slack. 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 Rachel D. Slack. The network helps show where Rachel D. Slack may publish in the future.

Co-authorship network of co-authors of Rachel D. Slack

This figure shows the co-authorship network connecting the top 25 collaborators of Rachel D. Slack. A scholar is included among the top collaborators of Rachel D. Slack 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 Rachel D. Slack. Rachel D. Slack 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 8
2 20
3 21
4
Effects of the nicotinic agonist varenicline, nicotinic antagonist r-bPiDI, and DAT inhibitor R-modafinil on co-use of ethanol and nicotine in female P rats.
1
5 11
6 15
7 25
8 16
9 27
10 39
11 14
12 9
13 22
14 25
15 100
16 101
17 41
18 12
19 7
20 117

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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