Beth Levy

4.0k citations
55 papers · 3.3k · h-index 33

Impact in

  • Physiology top 0.5%
    • Lysosomal Storage Disorders Research
    • Cellular transport and secretion

Papers in

    • Lysosomal Storage Disorders Research 36
    • Trypanosoma species research and implications 12

Beth Levy

55 papers receiving 3.2k citations

Peers

Beth Levy
Comparison fields: 5 of 91
  • Physiology 2.1k
  • Physiology 267
  • Cell Biology 597
  • Genetics 328
  • Epidemiology 797
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Brian Bigger United Kingdom
Babette Gwynn United States
Nancy Galvin United States
Alessandra Biffi Italy
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Citations per field
00.5×3.3×
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Citations per year

Countries citing papers authored by Beth Levy

Since Specialization
Citations

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

Fields of papers citing papers by Beth Levy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999177
2 1994176
3 1991159
4
Treatment of murine mucopolysaccharidosis type VII by syngeneic bone marrow transplantation in neonates.
1993146
5 2005145
6 2007141
7 2004135
8
A murine model of mucopolysaccharidosis VII. Gross and microscopic findings in beta-glucuronidase-deficient mice.
1990127
9
Overexpression of sigma receptors in nonneural human tumors.
1991124
10 1997109
11 1998101
12 200899
13 200198
14 199390
15 200488
16 199685
17 199984
18 200584
19 200182
20 200175

About Beth Levy

Beth Levy is a scholar working on Physiology, Epidemiology, Rheumatology, Cell Biology and Molecular Biology, having authored 55 papers that have together received 3.3k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (36 papers), Trypanosoma species research and implications (12 papers), Cellular transport and secretion (11 papers), Glycogen Storage Diseases and Myoclonus (9 papers), Hematopoietic Stem Cell Transplantation (5 papers), Carbohydrate Chemistry and Synthesis (4 papers), RNA regulation and disease (4 papers) and Autoimmune and Inflammatory Disorders Research (3 papers). The work is most often cited by research in Physiology (2.1k citations), Physiology (267 citations), Cell Biology (597 citations), Genetics (328 citations) and Epidemiology (797 citations). Beth Levy has collaborated with scholars based in United States, Belgium and United Kingdom. Frequent co-authors include Carole Vogler, Mark S. Sands, William S. Sly, Nancy Galvin, E H Birkenmeier, Jeffrey H. Grubb, Jane E. Barker, Babette Gwynn, Thomas M. Daly and Emil Kakkis. Their work appears in journals such as Proceedings of the National Academy of Sciences, Pediatric Research, Molecular Therapy, Blood and Journal of Clinical Investigation.

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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