Goldstein Db

445 total citations
10 papers, 367 citations indexed

About

Goldstein Db is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Goldstein Db has authored 10 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Physiology. Recurrent topics in Goldstein Db's work include Neurotransmitter Receptor Influence on Behavior (2 papers), vaccines and immunoinformatics approaches (1 paper) and Insurance, Mortality, Demography, Risk Management (1 paper). Goldstein Db is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (2 papers), vaccines and immunoinformatics approaches (1 paper) and Insurance, Mortality, Demography, Risk Management (1 paper). Goldstein Db collaborates with scholars based in United Kingdom, United States and South Africa. Goldstein Db's co-authors include M.W. Feldman, Alma W. Goldstein, Yedy Israel, William P. Gilks, Nicholas Wood, M. Juliana McElrath, D. G. Healy, Michael E. Weale, Jacques Fellay and Nicole Frahm and has published in prestigious journals such as Philosophical Transactions of the Royal Society B Biological Sciences, Molecular Biology and Evolution and Retrovirology.

In The Last Decade

Goldstein Db

10 papers receiving 345 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Goldstein Db United Kingdom	6	131	116	79	42	33	10	367
S. Striem Israel	13	66 0.5×	96 0.8×	87 1.1×	38 0.9×	26 0.8×	16	550
Il Jin Bak United States	10	261 2.0×	153 1.3×	40 0.5×	30 0.7×	51 1.5×	11	482
A. V. Wilks Australia	11	133 1.0×	118 1.0×	124 1.6×	28 0.7×	106 3.2×	14	516
G. F. Wassermann Brazil	14	163 1.2×	38 0.3×	131 1.7×	33 0.8×	44 1.3×	30	529
Gerald R. Buzzell Canada	14	153 1.2×	111 1.0×	43 0.5×	101 2.4×	29 0.9×	48	509
G.H. Bourne United States	10	161 1.2×	72 0.6×	31 0.4×	77 1.8×	37 1.1×	25	434
Antônio Carlos Cassola Brazil	15	497 3.8×	150 1.3×	90 1.1×	86 2.0×	21 0.6×	30	715
Michiko Fujita Japan	9	78 0.6×	141 1.2×	46 0.6×	99 2.4×	22 0.7×	20	412
E. M. BOGDANOVE United States	21	111 0.8×	50 0.4×	153 1.9×	62 1.5×	20 0.6×	43	989
B. O. Oke Nigeria	13	188 1.4×	117 1.0×	83 1.1×	53 1.3×	28 0.8×	69	693

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-authorship network of co-authors of Goldstein Db

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

All Works

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10 of 10 papers shown

1.

Fellay, Jacques, et al.. (2009). P08-06 LB. A genome-wide association study of host genetic determinants of T cell responses to the MRKAd5 HIV-1 gag/pol/nef vaccine in the STEP trial. Retrovirology. 6(S3). 4 indexed citations

2.

Gandhi, Sonia, Patrick M. Abou‐Sleiman, D. G. Healy, et al.. (2005). Population genetic approaches to neurological disease: Parkinson's disease as an example. Philosophical Transactions of the Royal Society B Biological Sciences. 360(1460). 1573–1578. 4 indexed citations

3.

Feldman, M.W., et al.. (1999). Statistical Properties of Two Teststhat Use Multilocus Data Sets to Detect Population Expansions. Molecular Biology and Evolution. 16(4). 453–466. 98 indexed citations

4.

Db, Goldstein, et al.. (1981). Interaction of ethanol with biological membranes.. PubMed. 40(7). 2073–6. 139 indexed citations

5.

Db, Goldstein. (1979). Speculations on membrane lipid adaptation as a mechanism for drug tolerance and dependence.. PubMed. 27. 151–66. 5 indexed citations

6.

Db, Goldstein, et al.. (1978). Drug tolerance and biomembranes.. PubMed. 28(3). 141–3. 3 indexed citations

7.

Db, Goldstein. (1975). Drug dependence as an adaptive response: studies with ethanol in mice.. PubMed. 13. 185–98. 6 indexed citations

8.

Db, Goldstein. (1975). Physical dependence on alcohol in mice.. PubMed. 34(10). 1953–61. 32 indexed citations

9.

Db, Goldstein & Yedy Israel. (1972). Effects of ethanol on mouse brain (Na+K)-activated adenosine triphosphatase.. PubMed. 11(19). 957–63. 25 indexed citations

10.

Goldstein, Alma W. & Goldstein Db. (1968). XIX. Enzyme expansion theory of drug tolerance and physical dependence.. PubMed. 46. 265–7. 51 indexed citations

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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