Sarah M. Choi

1.1k total citations
22 papers, 475 citations indexed

About

Sarah M. Choi is a scholar working on Hematology, Oncology and Genetics. According to data from OpenAlex, Sarah M. Choi has authored 22 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Hematology, 5 papers in Oncology and 4 papers in Genetics. Recurrent topics in Sarah M. Choi's work include Acute Myeloid Leukemia Research (6 papers), Chronic Myeloid Leukemia Treatments (6 papers) and Viral-associated cancers and disorders (4 papers). Sarah M. Choi is often cited by papers focused on Acute Myeloid Leukemia Research (6 papers), Chronic Myeloid Leukemia Treatments (6 papers) and Viral-associated cancers and disorders (4 papers). Sarah M. Choi collaborates with scholars based in United States, Italy and Switzerland. Sarah M. Choi's co-authors include Anamarija M. Perry, Morris J. Birnbaum, Lisa M. DiPilato, Danielle N. Gross, Rachael Easton, Bob Monks, David Tucker, Dennis P. O’Malley, Bryan L. Betz and Lina Shao and has published in prestigious journals such as Journal of Clinical Investigation, Blood and Molecular and Cellular Biology.

In The Last Decade

Sarah M. Choi

20 papers receiving 467 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarah M. Choi United States 9 157 140 116 98 67 22 475
Yasuhito Suzuki Japan 13 47 0.3× 82 0.6× 98 0.8× 155 1.6× 23 0.3× 46 627
Suzanne M. Wheeler United States 10 108 0.7× 122 0.9× 53 0.5× 75 0.8× 30 0.4× 18 519
Julian Friebel Germany 14 83 0.5× 82 0.6× 51 0.4× 204 2.1× 26 0.4× 27 537
R. J. Moots United Kingdom 7 111 0.7× 64 0.5× 35 0.3× 89 0.9× 47 0.7× 17 461
Ansel P. Amaral United States 8 70 0.4× 120 0.9× 35 0.3× 151 1.5× 43 0.6× 13 668
C. Renee Webb United States 9 39 0.2× 75 0.5× 136 1.2× 190 1.9× 91 1.4× 11 520
Thorsten Eidner Germany 13 63 0.4× 69 0.5× 22 0.2× 125 1.3× 82 1.2× 40 544
Yehong Wang China 10 49 0.3× 84 0.6× 102 0.9× 69 0.7× 34 0.5× 25 385
Shu Tanaka Japan 16 386 2.5× 39 0.3× 34 0.3× 89 0.9× 106 1.6× 50 783
Kazuhiro Kashiwagi Japan 17 180 1.1× 86 0.6× 49 0.4× 102 1.0× 166 2.5× 46 617

Countries citing papers authored by Sarah M. Choi

Since Specialization
Citations

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

Fields of papers citing papers by Sarah M. Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah M. Choi. 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 Sarah M. Choi. The network helps show where Sarah M. Choi may publish in the future.

Co-authorship network of co-authors of Sarah M. Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah M. Choi. A scholar is included among the top collaborators of Sarah M. Choi 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 Sarah M. Choi. Sarah M. Choi 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.
Jankú, Filip, Sae‐Won Han, Toshihiko Doi, et al.. (2022). Preclinical Characterization and Phase I Study of an Anti–HER2-TLR7 Immune-Stimulator Antibody Conjugate in Patients with HER2+ Malignancies. Cancer Immunology Research. 10(12). 1441–1461. 46 indexed citations
2.
3.
Lee, Winston Y., Ruthann Pfau, Sarah M. Choi, et al.. (2020). The diagnostic challenges and clinical course of a myeloid/lymphoid neoplasm with eosinophilia and ZBTB20-JAK2 gene fusion presenting as B-lymphoblastic leukemia. Molecular Case Studies. 6(2). a004937–a004937.
4.
Li, Ziru, Julie Hardij, Simon S. Evers, et al.. (2019). G-CSF partially mediates effects of sleeve gastrectomy on the bone marrow niche. Journal of Clinical Investigation. 129(6). 2404–2416. 33 indexed citations
5.
Benitez, Lydia L., Sarah M. Choi, Bernard L. Marini, et al.. (2019). Intrathecal alemtuzumab: a potential treatment of refractory leptomeningeal T-cell prolymphocytic leukemia. Blood Advances. 3(21). 3333–3336. 6 indexed citations
6.
Jahangiri, Arman, Patrick M. Flanigan, Ankush Chandra, et al.. (2019). From bench to bedside: trends in National Institutes of Health funding for neurosurgeons from 1991 to 2015. Journal of neurosurgery. 133(3). 865–874. 13 indexed citations
7.
Choi, Sarah M., et al.. (2019). Cytogenomic array detects a subset of myelodysplastic syndrome with increased risk that is invisible to conventional karyotype. Genes Chromosomes and Cancer. 58(11). 756–774. 1 indexed citations
8.
Choi, Sarah M., Aleodor A. Andea, Min Wang, et al.. (2018). KRAS mutation in secondary malignant histiocytosis arising from low grade follicular lymphoma. Diagnostic Pathology. 13(1). 78–78. 8 indexed citations
9.
Schaefer, Jordan K., Sarah M. Choi, Gary D. Luker, et al.. (2018). Primary myelofibrosis evolving to an aplastic appearing marrow. Clinical Case Reports. 6(7). 1393–1395. 3 indexed citations
10.
Choi, Sarah M., Bryan L. Betz, & Anamarija M. Perry. (2018). Follicular Lymphoma Diagnostic Caveats and Updates. Archives of Pathology & Laboratory Medicine. 142(11). 1330–1340. 19 indexed citations
11.
Perry, Anamarija M. & Sarah M. Choi. (2018). Kikuchi-Fujimoto Disease: A Review. Archives of Pathology & Laboratory Medicine. 142(11). 1341–1346. 113 indexed citations
12.
Choi, Sarah M. & Dennis P. O’Malley. (2018). Diagnostically relevant updates to the 2017 WHO classification of lymphoid neoplasms. Annals of Diagnostic Pathology. 37. 67–74. 17 indexed citations
13.
Choi, Sarah M., Rajan Dewar, Patrick W. Burke, & Lina Shao. (2018). Partial tandem duplication of KMT2A (MLL) may predict a subset of myelodysplastic syndrome with unique characteristics and poor outcome. Haematologica. 103(3). e131–e134. 12 indexed citations
14.
Murga‐Zamalloa, Carlos, et al.. (2017). Unexpected disseminated histoplasmosis detected by bone marrow biopsy in a solid organ transplant patient. Clinical Case Reports. 6(1). 49–51. 3 indexed citations
15.
Choi, Sarah M., Benjamin Goldenson, Lo Ann C. Peterson, et al.. (2017). Diagnostic and therapeutic implications of genetic heterogeneity in myeloid neoplasms uncovered by comprehensive mutational analysis. Leukemia Research Reports. 8. 11–13. 1 indexed citations
16.
Choi, Sarah M., John K. Frederiksen, Charles W. Ross, Dale L. Bixby, & Lina Shao. (2017). Philadelphia Chromosome–like Mixed-Phenotype Acute Leukemia Demonstrating P2RY8-CRLF2 Fusion and JAK1 Mutation. American Journal of Clinical Pathology. 148(6). 523–528. 7 indexed citations
17.
18.
Choi, Sarah M., Emma E. Furth, & Paul J. Zhang. (2015). Unexpected TTF-1 Positivity in a Subset of Gastric Adenocarcinomas. Applied immunohistochemistry & molecular morphology. 24(8). 603–607. 8 indexed citations
19.
Choi, Sarah M., Peter Papenhausen, Gerald Wertheim, & Rebecca L. King. (2013). Near-haploid B lymphoblastic leukemia with an apparent hyperdiploid karyotype: the critical role of SNP analysis in establishing proper diagnosis. Journal of Hematopathology. 7(1). 27–32. 3 indexed citations
20.
Choi, Sarah M.. (2008). Insulin regulates adipocyte lipolysis via a compartmentalized Akt-independent signaling pathway. Scholarly Commons (University of Pennsylvania). 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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