Debra Saxe

2.0k total citations
45 papers, 1.4k citations indexed

About

Debra Saxe is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Debra Saxe has authored 45 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Hematology and 11 papers in Genetics. Recurrent topics in Debra Saxe's work include Genomic variations and chromosomal abnormalities (9 papers), Prenatal Screening and Diagnostics (7 papers) and Lymphoma Diagnosis and Treatment (6 papers). Debra Saxe is often cited by papers focused on Genomic variations and chromosomal abnormalities (9 papers), Prenatal Screening and Diagnostics (7 papers) and Lymphoma Diagnosis and Treatment (6 papers). Debra Saxe collaborates with scholars based in United States, Canada and India. Debra Saxe's co-authors include J A Kant, Mathieu Simon, Albert J. Fornace, O. Wesley McBride, Robert H. Crabtree, Sallie S. Boggs, Dane R. Boggs, Don R. Canfield, Leroy Hood and Melvin I. Simon and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Debra Saxe

44 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Debra Saxe United States 20 578 458 300 244 231 45 1.4k
Sheila N.J. Sait United States 20 510 0.9× 511 1.1× 334 1.1× 206 0.8× 181 0.8× 72 1.2k
Sébastien Malinge United States 17 631 1.1× 611 1.3× 188 0.6× 308 1.3× 140 0.6× 33 1.4k
Meaghan Wall Australia 23 983 1.7× 266 0.6× 330 1.1× 276 1.1× 127 0.5× 57 1.6k
Henrik Lilljebjörn Sweden 22 588 1.0× 673 1.5× 338 1.1× 226 0.9× 116 0.5× 51 1.6k
Ana Carrió Spain 22 491 0.8× 356 0.8× 190 0.6× 398 1.6× 333 1.4× 59 1.3k
Zuzana Zemanová Czechia 22 744 1.3× 987 2.2× 307 1.0× 434 1.8× 208 0.9× 139 1.7k
Mikael Behrendtz Sweden 22 679 1.2× 639 1.4× 271 0.9× 136 0.6× 158 0.7× 40 1.6k
Shiuh-Ming Luoh United States 13 1.2k 2.0× 368 0.8× 476 1.6× 195 0.8× 308 1.3× 14 2.0k
Kirsten van Lom Netherlands 25 539 0.9× 579 1.3× 326 1.1× 427 1.8× 75 0.3× 47 1.5k
F Viguié France 21 861 1.5× 844 1.8× 302 1.0× 273 1.1× 131 0.6× 45 1.6k

Countries citing papers authored by Debra Saxe

Since Specialization
Citations

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

Fields of papers citing papers by Debra Saxe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debra Saxe

This figure shows the co-authorship network connecting the top 25 collaborators of Debra Saxe. A scholar is included among the top collaborators of Debra Saxe 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 Debra Saxe. Debra Saxe 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.
Sahajpal, Nikhil, Ashis K. Mondal, Tatiana Tvrdik, et al.. (2022). Clinical Validation and Diagnostic Utility of Optical Genome Mapping for Enhanced Cytogenomic Analysis of Hematological Neoplasms. Journal of Molecular Diagnostics. 24(12). 1279–1291. 39 indexed citations
2.
Neill, Stewart G., Marilyn M. Li, Yajuan J. Liu, et al.. (2020). Copy number assessment in the genomic analysis of CNS neoplasia: An evidence-based review from the cancer genomics consortium (CGC) working group on primary CNS tumors. Cancer Genetics. 243. 19–47. 3 indexed citations
3.
Buchwald, Zachary S., Sibo Tian, Michael R. Rossi, et al.. (2020). Genomic copy number variation correlates with survival outcomes in WHO grade IV glioma. Scientific Reports. 10(1). 7355–7355. 10 indexed citations
4.
Greenwell, Irl Brian, Ashley D. Staton, Michael J. Lee, et al.. (2018). Complex karyotype in patients with mantle cell lymphoma predicts inferior survival and poor response to intensive induction therapy. Cancer. 124(11). 2306–2315. 34 indexed citations
5.
Saxe, Debra, et al.. (2018). Recent advances in cytogenetic characterization of multiple myeloma. International Journal of Laboratory Hematology. 41(1). 5–14. 48 indexed citations
6.
7.
8.
Sullivan, Harold C., et al.. (2014). The Role of Immunohistochemical Analysis in the Evaluation of EML4-ALK Gene Rearrangement in Lung Cancer. Applied immunohistochemistry & molecular morphology. 23(4). 239–244. 15 indexed citations
9.
Kaufman, Jonathan L., Amelia Langston, Leonard T. Heffner, et al.. (2013). Consolidation and maintenance therapy with lenalidomide, bortezomib and dexamethasone (RVD) in high-risk myeloma patients. Leukemia. 28(3). 690–693. 142 indexed citations
10.
Brothman, Arthur R., Michelle Dolan, Barbara K. Goodman, et al.. (2011). College of American Pathologists/American College of Medical Genetics proficiency testing for constitutional cytogenomic microarray analysis. Genetics in Medicine. 13(9). 765–769. 12 indexed citations
11.
Lima, Lisa, Sarit Assouline, Debra Saxe, et al.. (2011). Does pretreatment fluorescencein situhybridization forBCR–ABLpredict imatinib-associated hematologic toxicity in chronic myeloid leukemia?. Leukemia & lymphoma. 52(6). 1010–1016. 3 indexed citations
12.
Saxe, Debra, et al.. (2010). The Role of CD11c Expression in the Diagnosis of Mantle Cell Lymphoma. American Journal of Clinical Pathology. 134(2). 271–277. 21 indexed citations
13.
Cooley, Linda D., James T. Mascarello, Betsy Hirsch, et al.. (2009). Section E6.5 of the ACMG technical standards and guidelines: Chromosome studies for solid tumor abnormalities. Genetics in Medicine. 11(12). 890–897. 2 indexed citations
14.
Steen, Mårten, et al.. (1998). Neural-tube defects are associated with low concentrations of cobalamin (vitamin B12) in amniotic fluid. Prenatal Diagnosis. 18(6). 545–555. 63 indexed citations
15.
Steen, Mårten, et al.. (1998). Neural‐tube defects are associated with low concentrations of cobalamin (vitamin B12) in amniotic fluid. Prenatal Diagnosis. 18(6). 545–555. 5 indexed citations
16.
Hsu, Lillian Y. F., K Richkind, Daniel L. Van Dyke, et al.. (1996). INCIDENCE AND SIGNIFICANCE OF CHROMOSOME MOSAICISM INVOLVING AN AUTOSOMAL STRUCTURAL ABNORMALITY DIAGNOSED PRENATALLY THROUGH AMNIOCENTESIS: A COLLABORATIVE STUDY. Prenatal Diagnosis. 16(1). 1–28. 80 indexed citations
17.
Blatt, Cila, Debra Saxe, William F. Marzluff, et al.. (1988). Mapping and gene order of U1 small nuclear RNA, endogenous viralenv sequence, amylase, and alcohol dehydrogenase-3 on mouse chromosome 3. Somatic Cell and Molecular Genetics. 14(2). 133–142. 20 indexed citations
18.
Saxe, Debra, et al.. (1985). Localization of the human myelin basic protein gene <i>(MBP)</i> to region 18q22→qter by in situ hybridization. Cytogenetic and Genome Research. 39(4). 246–249. 33 indexed citations
19.
Caccia, Nicolette, Mitchell Kronenberg, Debra Saxe, et al.. (1984). The T cell receptor β chain genes are located on chromosome 6 in mice and chromosome 7 in humans. Cell. 37(3). 1091–1099. 177 indexed citations
20.
Boggs, Dane R., et al.. (1982). Hematopoietic Stem Cells with High Proliferative Potential. Journal of Clinical Investigation. 70(2). 242–253. 118 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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