Goldstein Db

446 citations
10 papers · 367 · h-index 6

Impact in

Papers in

Goldstein Db

10 papers receiving 345 citations

Peers

Goldstein Db
Comparison fields: 5 of 82
  • Cellular and Molecular Neuroscience 114
  • Biochemistry 31
  • Genetics 78
  • Ecological Modeling 11
  • Behavioral Neuroscience 8
Replace Jean‐Claude David with:
Jean‐Claude David France
P. Lebrun Belgium
R. H. Rippel United States
Gerald R. Buzzell Canada
K. A. Burton Slovakia
S R O'Donnell Australia
Judith C. Juskevich United States
PATRICIA A. KLASE United States
A. Foldes Australia
S. Striem Israel
Goldstein Db relative to Jean‐Claude David France Jean‐Claude David's profile →
Citations per field
00.5×1.5×
Jean‐Claude David · 1×
Citations per year

Countries citing papers authored by Goldstein Db

Since Specialization
Citations

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

Fields of papers citing papers by Goldstein Db

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Goldstein Db, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Goldstein Db Line = papers co-authored together Goldstein Db links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
Interaction of ethanol with biological membranes.
1981139
2 199998
3
XIX. Enzyme expansion theory of drug tolerance and physical dependence.
196851
4
Physical dependence on alcohol in mice.
197532
5
Effects of ethanol on mouse brain (Na+K)-activated adenosine triphosphatase.
197225
6
Drug dependence as an adaptive response: studies with ethanol in mice.
19756
7
Speculations on membrane lipid adaptation as a mechanism for drug tolerance and dependence.
19795
8 20054
9 20094
10
Drug tolerance and biomembranes.
19783

About Goldstein Db

Goldstein Db is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Neurology and Virology, having authored 10 papers that have together received 367 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (2 papers), Parkinson's Disease Mechanisms and Treatments (1 paper), Neurological diseases and metabolism (1 paper), Economics of Agriculture and Food Markets (1 paper), HIV Research and Treatment (1 paper), vaccines and immunoinformatics approaches (1 paper), Insurance, Mortality, Demography, Risk Management (1 paper) and Genetic and phenotypic traits in livestock (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (114 citations), Biochemistry (31 citations), Genetics (78 citations), Ecological Modeling (11 citations) and Behavioral Neuroscience (8 citations). Goldstein Db has collaborated with scholars based in United States, United Kingdom and South Africa. Frequent co-authors include M.W. Feldman, Alma W. Goldstein, Yedy Israel, Nicole Frahm, M. Juliana McElrath, William P. Gilks, Patrick M. Abou‐Sleiman, Jacques Fellay, D. G. Healy and Sonia Gandhi. Their work appears in journals such as Molecular Biology and Evolution, Retrovirology, Philosophical Transactions of the Royal Society B Biological Sciences and PubMed.

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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