Elizabeth L. Schubert

758 total citations
9 papers, 466 citations indexed

About

Elizabeth L. Schubert is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Elizabeth L. Schubert has authored 9 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Oncology. Recurrent topics in Elizabeth L. Schubert's work include BRCA gene mutations in cancer (4 papers), Cancer-related Molecular Pathways (4 papers) and Cancer Genomics and Diagnostics (3 papers). Elizabeth L. Schubert is often cited by papers focused on BRCA gene mutations in cancer (4 papers), Cancer-related Molecular Pathways (4 papers) and Cancer Genomics and Diagnostics (3 papers). Elizabeth L. Schubert collaborates with scholars based in United States. Elizabeth L. Schubert's co-authors include Mary‐Claire King, Louise C. Strong, Jamie L. Dann, Peggy L. Porter, Heather C. Mefford, J Hull, Laura A. Cousens, Mark Hansen, Marc F. Hansen and Lenora W. M. Loo and has published in prestigious journals such as Cancer Research, American Journal Of Pathology and Human Mutation.

In The Last Decade

Elizabeth L. Schubert

9 papers receiving 450 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Elizabeth L. Schubert United States	8	251	241	171	125	85	9	466
Åke Borg Sweden	7	163 0.6×	234 1.0×	153 0.9×	226 1.8×	66 0.8×	7	461
Gunnar B. Hansen Sweden	9	94 0.4×	189 0.8×	123 0.7×	95 0.8×	39 0.5×	9	336
SV Hodgson United Kingdom	13	177 0.7×	233 1.0×	128 0.7×	225 1.8×	164 1.9×	21	550
Eden United States	2	97 0.4×	204 0.8×	101 0.6×	252 2.0×	60 0.7×	5	357
Birch United Kingdom	3	97 0.4×	208 0.9×	101 0.6×	252 2.0×	64 0.8×	4	391
Sabine Pagès-Berhouet France	8	192 0.8×	303 1.3×	60 0.4×	119 1.0×	33 0.4×	8	483
B. Ponder United Kingdom	6	367 1.5×	222 0.9×	158 0.9×	118 0.9×	145 1.7×	8	569
Prosser Prosser	3	97 0.4×	204 0.8×	101 0.6×	252 2.0×	60 0.7×	4	361
N C Cheng Netherlands	8	99 0.4×	299 1.2×	122 0.7×	100 0.8×	26 0.3×	11	454
Sira Moreno Spain	9	95 0.4×	158 0.7×	101 0.6×	46 0.4×	23 0.3×	17	350

Countries citing papers authored by Elizabeth L. Schubert

Since Specialization

Citations

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

Fields of papers citing papers by Elizabeth L. Schubert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elizabeth L. Schubert. 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 Elizabeth L. Schubert. The network helps show where Elizabeth L. Schubert may publish in the future.

Co-authorship network of co-authors of Elizabeth L. Schubert

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

All Works

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9 of 9 papers shown

Loo, Lenora W. M., Douglas I. Grove, Eleanor Williams, et al.. (2004). Array Comparative Genomic Hybridization Analysis of Genomic Alterations in Breast Cancer Subtypes. Cancer Research. 64(23). 8541–8549. 173 indexed citations

Schubert, Elizabeth L., Li Hsu, Laura A. Cousens, et al.. (2002). Single Nucleotide Polymorphism Array Analysis of Flow-Sorted Epithelial Cells from Frozen Versus Fixed Tissues for Whole Genome Analysis of Allelic Loss in Breast Cancer. American Journal Of Pathology. 160(1). 73–79. 31 indexed citations

Schubert, Elizabeth L., Ming K. Lee, Beth Newman, & Mary‐Claire King. (1999). Single nucleotide polymorphisms (SNPs) in the estrogen receptor gene and breast cancer susceptibility. The Journal of Steroid Biochemistry and Molecular Biology. 71(1-2). 21–27. 41 indexed citations

Welcsh, Piri, Elizabeth L. Schubert, & Mary‐Claire King. (1998). Inherited breast cancer: an emerging picture. Clinical Genetics. 54(6). 447–458. 27 indexed citations

Schubert, Elizabeth L., Louise C. Strong, & Mark Hansen. (1997). A splicing mutation in RB1 in low penetrance retinoblastoma. Human Genetics. 100(5-6). 557–563. 36 indexed citations

Schubert, Elizabeth L., et al.. (1997). BRCA2 in American families with four or more cases of breast or ovarian cancer: recurrent and novel mutations, variable expression, penetrance, and the possibility of families whose cancer is not attributable to BRCA1 or BRCA2.. PubMed. 60(5). 1031–40. 122 indexed citations

Schubert, Elizabeth L. & Marc F. Hansen. (1996). A Previously Unknown Polymorphism Located within the RB1 Locus Only Present in Asian Individuals. Human Heredity. 46(2). 118–120. 7 indexed citations

Schubert, Elizabeth L., Marc F. Hansen, & Louise C. Strong. (1994). The Retinoblastoma Gene and its Significance. Annals of Medicine. 26(3). 177–184. 18 indexed citations

Schubert, Elizabeth L., et al.. (1993). A method to isolate DNA from small archival tissue samples for p53 gene analysis. Human Mutation. 2(2). 123–126. 11 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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