Elizabeth Margolskee

943 total citations
35 papers, 494 citations indexed

About

Elizabeth Margolskee is a scholar working on Genetics, Hematology and Pathology and Forensic Medicine. According to data from OpenAlex, Elizabeth Margolskee has authored 35 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 12 papers in Hematology and 9 papers in Pathology and Forensic Medicine. Recurrent topics in Elizabeth Margolskee's work include Acute Myeloid Leukemia Research (11 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (9 papers) and Lymphoma Diagnosis and Treatment (7 papers). Elizabeth Margolskee is often cited by papers focused on Acute Myeloid Leukemia Research (11 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (9 papers) and Lymphoma Diagnosis and Treatment (7 papers). Elizabeth Margolskee collaborates with scholars based in United States, Italy and Qatar. Elizabeth Margolskee's co-authors include Attilio Orazi, Bachir Alobeid, Govind Bhagat, Vaidehi Jobanputra, Michael Kluk, Marco Pizzi, Giorgio Inghirami, Vignesh Shanmugam, Peter H.R. Green and Suzanne K. Lewis and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Elizabeth Margolskee

33 papers receiving 487 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elizabeth Margolskee United States 13 174 166 128 119 102 35 494
Mitsutoshi Kurosawa Japan 13 140 0.8× 209 1.3× 176 1.4× 241 2.0× 108 1.1× 49 610
Abraham Klepfish Israel 12 175 1.0× 151 0.9× 158 1.2× 129 1.1× 54 0.5× 21 486
Ren‐Ching Wang Taiwan 12 154 0.9× 157 0.9× 40 0.3× 105 0.9× 141 1.4× 53 481
Liuyan Jiang United States 13 379 2.2× 284 1.7× 123 1.0× 80 0.7× 34 0.3× 79 666
Dimitra Anagnostou Greece 16 303 1.7× 169 1.0× 251 2.0× 188 1.6× 84 0.8× 41 700
Ching‐Fen Yang Taiwan 14 102 0.6× 145 0.9× 115 0.9× 145 1.2× 63 0.6× 43 608
Noriko Iwaki Japan 13 287 1.6× 347 2.1× 158 1.2× 98 0.8× 152 1.5× 44 687
Pierre Brousset France 10 314 1.8× 296 1.8× 85 0.7× 130 1.1× 37 0.4× 23 582
Niklas Gebauer Germany 14 280 1.6× 390 2.3× 171 1.3× 37 0.3× 89 0.9× 68 660
Sherif Rezk United States 14 278 1.6× 388 2.3× 63 0.5× 70 0.6× 56 0.5× 41 753

Countries citing papers authored by Elizabeth Margolskee

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth Margolskee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elizabeth Margolskee

This figure shows the co-authorship network connecting the top 25 collaborators of Elizabeth Margolskee. A scholar is included among the top collaborators of Elizabeth Margolskee 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 Margolskee. Elizabeth Margolskee 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.
Stear, Benjamin, et al.. (2025). Benchmarking transformer embedding models for biomedical terminology standardization. Machine Learning with Applications. 21. 100683–100683.
2.
3.
Liu, Yen‐Chun, Sa A. Wang, Jacob R. Bledsoe, et al.. (2024). Clinical, immunophenotypic, and genomic findings of acute myeloid leukemia with RAM immunophenotype: Comparison with other CD56‐positive acute leukemias. SHILAP Revista de lepidopterología. 6(1). e1052–e1052. 2 indexed citations
4.
Margolskee, Elizabeth, Abha Goyal, Momin T. Siddiqui, et al.. (2023). Optimal carcinoembryonic antigen (CEA) cutoff values in the diagnosis of neoplastic mucinous pancreatic cysts differ among assays. Journal of Clinical Pathology. 77(12). 848–852. 3 indexed citations
5.
Margolskee, Elizabeth, et al.. (2021). Pediatric Myeloproliferative Neoplasms. Clinics in Laboratory Medicine. 41(3). 529–540. 2 indexed citations
6.
Jung, Hou-Sung, Fumin Lin, Adam J. Wolpaw, et al.. (2020). A Novel KMT2A-ARHGEF12 Fusion Gene Identified in a High-Grade B-cell Lymphoma. Cancer Genetics. 246-247. 41–43. 4 indexed citations
7.
Margolskee, Elizabeth, et al.. (2020). Leukoerythroblastosis and plasmacytoid lymphocytes in a child with SARS-CoV-2–associated multisystem inflammatory syndrome. Blood. 136(7). 914–914. 9 indexed citations
8.
Rogers, Heesun J., Xiaoqiong Wang, Yan Xie, et al.. (2020). Comparison of therapy‐related and de novo core binding factor acute myeloid leukemia: A bone marrow pathology group study. American Journal of Hematology. 95(7). 799–808. 22 indexed citations
9.
10.
Liu, Yen‐Chun, Elizabeth Margolskee, John N. Allan, et al.. (2019). Chronic lymphocytic leukemia with TP53 gene alterations: a detailed clinicopathologic analysis. Modern Pathology. 33(3). 344–353. 10 indexed citations
11.
Rao, Rema, et al.. (2018). Immunohistochemical staining for S100P, SMAD4, and IMP3 on cell block preparations is sensitive and highly specific for pancreatic ductal adenocarcinoma. Journal of the American Society of Cytopathology. 7(6). 318–323. 12 indexed citations
12.
Weinberg, Olga K., Wayne Tam, Sam Sadigh, et al.. (2018). Hematopoietic neoplasms with 9p24/JAK2 rearrangement: a multicenter study. Modern Pathology. 32(4). 490–498. 37 indexed citations
13.
Margolskee, Elizabeth, Bryan Rea, Adam Bagg, et al.. (2018). A reevaluation of erythroid predominance in Acute Myeloid Leukemia using the updated WHO 2016 Criteria. Modern Pathology. 31(6). 873–880. 1 indexed citations
14.
Margolskee, Elizabeth, Jad Saab, Julia T. Geyer, Alexander Aledo, & Susan Mathew. (2017). A Novel Variant t(1;22) Translocation – ins(22;1)(q13;p13p31) – in a Child with Acute Megakaryoblastic Leukemia. American Journal of Case Reports. 18. 422–426. 4 indexed citations
15.
Margolskee, Elizabeth, Robert P. Hasserjian, Duane C. Hassane, et al.. (2017). Myelodysplastic Syndrome, Unclassifiable (MDS-U) With 1% Blasts Is a Distinct Subgroup of MDS-U With a Poor Prognosis. American Journal of Clinical Pathology. 148(1). 49–57. 13 indexed citations
16.
Margolskee, Elizabeth, Fei Bao, Roger K. Moreira, et al.. (2016). Hepatocellular adenoma classification: a comparative evaluation of immunohistochemistry and targeted mutational analysis. Diagnostic Pathology. 11(1). 27–27. 29 indexed citations
17.
Ferraro, Richard, et al.. (2016). Invasive granulomatous cryptococcal sinusitis in an adult with multiple myeloma. Clinical Imaging. 41. 65–68. 4 indexed citations
18.
Shanmugam, Vignesh, et al.. (2016). Rosai–Dorfman Disease Harboring an Activating KRAS K117N Missense Mutation. Head and Neck Pathology. 10(3). 394–399. 57 indexed citations
19.
Petrova‐Drus, Kseniya, Robert P. Hasserjian, Olga Pozdnyakova, et al.. (2016). Clinicopathologic evaluation of cytopenic patients with isolated trisomy 8: a detailed comparison between idiopathic cytopenia of unknown significance and low-grade myelodysplastic syndrome. Leukemia & lymphoma. 58(3). 569–577. 10 indexed citations
20.
Margolskee, Elizabeth, Melissa M. Cushing, Yu‐hui Ferng, et al.. (2013). Transfusion Practices and Infections At Four Level III Neonatal Intensive Care Units. Blood. 122(21). 3657–3657. 1 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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