Barbara Stubblefield

3.5k total citations
45 papers, 2.7k citations indexed

About

Barbara Stubblefield is a scholar working on Physiology, Cell Biology and Molecular Biology. According to data from OpenAlex, Barbara Stubblefield has authored 45 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Physiology, 27 papers in Cell Biology and 20 papers in Molecular Biology. Recurrent topics in Barbara Stubblefield's work include Lysosomal Storage Disorders Research (37 papers), Cellular transport and secretion (27 papers) and Glycosylation and Glycoproteins Research (14 papers). Barbara Stubblefield is often cited by papers focused on Lysosomal Storage Disorders Research (37 papers), Cellular transport and secretion (27 papers) and Glycosylation and Glycoproteins Research (14 papers). Barbara Stubblefield collaborates with scholars based in United States, Israel and Czechia. Barbara Stubblefield's co-authors include Ellen Sidransky, Nahid Tayebi, Edward I. Ginns, Brian M. Martin, Shoji Tsuji, Eduard Orviský, Özlem Göker-Alpan, Mary E. LaMarca, Victor Madike and Prabhakara V. Choudary and has published in prestigious journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Barbara Stubblefield

43 papers receiving 2.6k citations

Peers

Barbara Stubblefield
Grisel Lopez United States
Susan L. Cotman United States
Juliana Ng Canada
Salvador Soriano United States
Jef Swerts Belgium
Denise M. O. Ramirez United States
Grisel Lopez United States
Barbara Stubblefield
Citations per year, relative to Barbara Stubblefield Barbara Stubblefield (= 1×) peers Grisel Lopez

Countries citing papers authored by Barbara Stubblefield

Since Specialization
Citations

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

Fields of papers citing papers by Barbara Stubblefield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Barbara Stubblefield

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

All Works

20 of 20 papers shown
1.
Aflaki, Elma, Barbara Stubblefield, Ryan P. McGlinchey, et al.. (2019). A characterization of Gaucher iPS-derived astrocytes: Potential implications for Parkinson's disease. Neurobiology of Disease. 134. 104647–104647. 51 indexed citations
2.
Hassan, Shahzeb, Grisel Lopez, Barbara Stubblefield, Nahid Tayebi, & Ellen Sidransky. (2018). Alleles with more than one mutation can complicate genotype/phenotype studies in Mendelian disorders: Lessons from Gaucher disease. Molecular Genetics and Metabolism. 125(1-2). 1–3. 7 indexed citations
3.
Aflaki, Elma, Daniel K. Borger, Nima Moaven, et al.. (2016). A New Glucocerebrosidase Chaperone Reduces  -Synuclein and Glycolipid Levels in iPSC-Derived Dopaminergic Neurons from Patients with Gaucher Disease and Parkinsonism. Journal of Neuroscience. 36(28). 7441–7452. 181 indexed citations
4.
Velayati, Arash, Nidhi Gupta, Jae Hyuk Choi, et al.. (2011). A mutation in SCARB2 is a modifier in gaucher disease. Human Mutation. 32(11). 1232–1238. 68 indexed citations
5.
Choi, Jae Hyuk, Barbara Stubblefield, Mark Cookson, et al.. (2011). Aggregation of α-synuclein in brain samples from subjects with glucocerebrosidase mutations. Molecular Genetics and Metabolism. 104(1-2). 185–188. 61 indexed citations
6.
Göker-Alpan, Özlem, Barbara Stubblefield, Benoit I. Giasson, & Ellen Sidransky. (2010). Glucocerebrosidase is present in α-synuclein inclusions in Lewy body disorders. Acta Neuropathologica. 120(5). 641–649. 144 indexed citations
7.
Ziegler, Shira G., Kathleen S. Hruska, Barbara Stubblefield, et al.. (2009). In silico and functional studies of the regulation of the glucocerebrosidase gene. Molecular Genetics and Metabolism. 99(3). 275–282. 11 indexed citations
8.
Eblan, Michael J., Sonja W. Scholz, Barbara Stubblefield, et al.. (2006). Glucocerebrosidase mutations are not found in association with LRRK2 G2019S in subjects with parkinsonism. Neuroscience Letters. 404(1-2). 163–165. 10 indexed citations
9.
Liu, Zheng, Barry J. Richmond, Elisabeth A. Murray, et al.. (2004). DNA targeting of rhinal cortex D2 receptor protein reversibly blocks learning of cues that predict reward. Proceedings of the National Academy of Sciences. 101(33). 12336–12341. 57 indexed citations
10.
Park, Joseph K., Eduard Orviský, Nahid Tayebi, et al.. (2003). Myoclonic Epilepsy in Gaucher Disease: Genotype-Phenotype Insights from a Rare Patient Subgroup. Pediatric Research. 53(3). 387–395. 71 indexed citations
12.
Orviský, Eduard, Joseph K. Park, Adrian G. Parker, et al.. (2002). The identification of eight novel glucocerebrosidase (GBA) mutations in patients with Gaucher disease. Human Mutation. 19(4). 458–459. 19 indexed citations
13.
Reissner, Kathryn J., Nahid Tayebi, Barbara Stubblefield, et al.. (1998). Type 2 Gaucher Disease with Hydrops Fetalis in an Ashkenazi Jewish Family Resulting from a Novel Recombinant Allele and a Rare Splice Junction Mutation in the Glucocerebrosidase Locus. Molecular Genetics and Metabolism. 63(4). 281–288. 32 indexed citations
14.
Tayebi, Nahid, Kathryn J. Reissner, Elaine K. Lau, et al.. (1998). Genotypic Heterogeneity and Phenotypic Variation among Patients with Type 2 Gaucher's Disease. Pediatric Research. 43(5). 571–578. 51 indexed citations
15.
Tayebi, Nahid, Wim J. Kleijer, Elaine K. Lau, et al.. (1997). Prenatal lethality of a homozygous null mutation in the human glucocerebrosidase gene. American Journal of Medical Genetics. 73(1). 41–47. 38 indexed citations
16.
Tybulewicz, Victor L. J., Michel L. Tremblay, Rob Willemsen, et al.. (1992). Animal model of Gaucher's disease from targeted disruption of the mouse glucocerebrosidase gene. Nature. 357(6377). 407–410. 245 indexed citations
17.
Sidransky, Ellen, et al.. (1992). Gaudier patients with oculomotor abnormalities do not have a unique genotype. Clinical Genetics. 41(1). 1–5. 23 indexed citations
18.
Sidransky, Ellen, Shoji Tsuji, Brian M. Martin, Barbara Stubblefield, & Edward I. Ginns. (1992). DNA mutation analysis of Gaucher patients. American Journal of Medical Genetics. 42(3). 331–336. 45 indexed citations
19.
Montpied, Pascale, Brian M. Martin, Sandra Cottingham, et al.. (1988). Regional Distribution of the GABAA/Benzodiazepine Receptor (α Subunit) mRNA in Rat Brain. Journal of Neurochemistry. 51(5). 1651–1654. 51 indexed citations
20.
Kelsoe, John R., Barbara Stubblefield, & Edward I. Ginns. (1988). Human tyrosine hydroxylase (TH) genomic fragment (pHGTH4) identifies a PstI polymorphism. Nucleic Acids Research. 16(15). 7760–7760. 12 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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