Stephen M. Kaminsky

4.7k citations
86 papers · 2.3k · h-index 29

Impact in

  • Toxicology top 2%
    • Forensic Toxicology and Drug Analysis
  • Physiology top 5%
    • Lysosomal Storage Disorders Research

Papers in

    • Viral Infectious Diseases and Gene Expression in Insects 6
    • CRISPR and Genetic Engineering 6
    • Virus-based gene therapy research 31

Stephen M. Kaminsky

85 papers receiving 2.2k citations

Peers

Stephen M. Kaminsky
Comparison fields: 5 of 99
  • Toxicology 118
  • Physiology 624
  • Genetics 642
  • Cellular and Molecular Neuroscience 287
  • Molecular Biology 1.1k
Replace Alessandra Vacca with:
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Fukun Guo United States
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Alessandra Soriani Italy
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Citations per field
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Citations per year

Countries citing papers authored by Stephen M. Kaminsky

Since Specialization
Citations

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

Fields of papers citing papers by Stephen M. Kaminsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stephen M. Kaminsky, 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 Stephen M. Kaminsky Line = papers co-authored together Stephen M. Kaminsky links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006120
2 2004107
3 201991
4 199483
5 201678
6 200568
7 201666
8 201163
9
Antivector and antitransgene host responses in gene therapy.
200061
10 201659
11 201058
12 200553
13 201153
14 201452
15 201350
16 201347
17 200547
18 201445
19 201641
20 201240

About Stephen M. Kaminsky

Stephen M. Kaminsky is a scholar working on Molecular Biology, Genetics, Physiology, Epidemiology and Cellular and Molecular Neuroscience, having authored 86 papers that have together received 2.3k indexed citations. Recurring topics across this work include Virus-based gene therapy research (31 papers), Lysosomal Storage Disorders Research (24 papers), Neurotransmitter Receptor Influence on Behavior (6 papers), Cytomegalovirus and herpesvirus research (6 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers), HIV Research and Treatment (6 papers), CRISPR and Genetic Engineering (6 papers) and Forensic Toxicology and Drug Analysis (5 papers). The work is most often cited by research in Toxicology (118 citations), Physiology (624 citations), Genetics (642 citations), Cellular and Molecular Neuroscience (287 citations) and Molecular Biology (1.1k citations). Stephen M. Kaminsky has collaborated with scholars based in United States, China and France. Frequent co-authors include Ronald G. Crystal, Dolan Sondhi, Jonathan B. Rosenberg, Bishnu P. De, Neil R. Hackett, Marı́a J. Chiuchiolo, Martin J. Hicks, Kim D. Janda, Stefan Worgall and Nancy Carrasco. Their work appears in journals such as Human Gene Therapy, Molecular Therapy, Scientific Reports, PLoS ONE and Journal of Thoracic and Cardiovascular Surgery.

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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