Mary E. LaMarca

30 papers receiving 2.7k citations

Mary E. LaMarca's Hit Papers

Gaucher disease: mutation and polymorphism spectrum in the glucocerebrosidase gene (GBA) 2008 · 514 citations
5140+6+12Years since publication100200300400500

Peers

Mary E. LaMarca
Comparison fields: 5 of 107
  • Physiology 1.6k
  • Cell Biology 906
  • Physiology 131
  • Neurology 271
  • Rheumatology 252
Replace Martin L. Katz with:
Martin L. Katz United States
See‐Ying Tam United States
Marco A. Passini United States
Catherine Caillaud France
Cynthia J. Tifft United States
Markus Plomann Germany
Paul R. Dobner United States
Vera M. Kalscheuer Germany
A. T. Hoogeveen Netherlands
Dawna Armstrong United States
Mary E. LaMarca relative to Martin L. Katz United States Martin L. Katz's profile →
Citations per field
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Martin L. Katz · 1×
Citations per year

Countries citing papers authored by Mary E. LaMarca

Since Specialization
Citations

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

Fields of papers citing papers by Mary E. LaMarca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary E. LaMarca. 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 Mary E. LaMarca. The network helps show where Mary E. LaMarca may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Gaucher disease: mutation and polymorphism spectrum in the glucocerebrosidase gene (GBA)
Hit paper breakdown →
2008514
2 1998442
3 1996271
4 1998248
5 1988173
6 2002157
7 2009135
8 2007123
9 200790
10 200387
11 200083
12 200381
13 199550
14 199845
15 198841
16 200838
17 199536
18
Retrovirus-mediated transfer of the human glucocerebrosidase gene to Gaucher fibroblasts.
198634
19 198830
20 199016

About Mary E. LaMarca

Mary E. LaMarca is a scholar working on Physiology, Molecular Biology, Cell Biology, Organic Chemistry and Rheumatology, having authored 30 papers that have together received 2.8k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (21 papers), Cellular transport and secretion (13 papers), Carbohydrate Chemistry and Synthesis (7 papers), Glycosylation and Glycoproteins Research (6 papers), Transgenic Plants and Applications (3 papers), Glycogen Storage Diseases and Myoclonus (3 papers), Animal Genetics and Reproduction (2 papers) and Neuroendocrine regulation and behavior (2 papers). The work is most often cited by research in Physiology (1.6k citations), Cell Biology (906 citations), Physiology (131 citations), Neurology (271 citations) and Rheumatology (252 citations). Mary E. LaMarca has collaborated with scholars based in United States, Netherlands and Czechia. Frequent co-authors include Ellen Sidransky, Edward I. Ginns, Kathleen S. Hruska, C. Ronald Scott, Cindy E. McKinney, Barbara Stubblefield, Brian M. Martin, Eduard Orviský, Nahid Tayebi and Joseph K. Park. Their work appears in journals such as Molecular Genetics and Metabolism, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Pediatric Research and Journal of Neuroendocrinology.

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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