Sheila A. Shurtleff
Impact in
- Hematology top 0.05%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Genetics top 0.2%
- Glioma Diagnosis and Treatment
Papers in
- Hematology 59
- Acute Myeloid Leukemia Research 43
- Chronic Myeloid Leukemia Treatments 21
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- Acute Lymphoblastic Leukemia research 36
- Co-authors
- James R. Downing (49 shared papers)Ching‐Hon Pui (22 shared papers)Charles J. Sherr (11 shared papers)Charles Grenfell Mullighan (15 shared papers)Jing Ma (9 shared papers)Christopher B. Miller (6 shared papers)Susana Catalina Raimondi (23 shared papers)Xiaoping Su (8 shared papers)
- Journals
- Blood (25 papers)Nature (6 papers)Nature Genetics (5 papers)Journal of Clinical Oncology (5 papers)Molecular and Cellular Biology (5 papers)
- Partner nations
- United StatesSingaporeAustralia
In The Last Decade
Sheila A. Shurtleff
123 papers receiving 21.7k citations
Sheila A. Shurtleff's Hit Papers
Peers
Comparison fields: 5 of 143
- Hematology 8.0k
- Genetics 3.1k
- Public Health, Environmental and Occupational Health 7.7k
- Cancer Research 2.9k
- Oncology 3.9k
Countries citing papers authored by Sheila A. Shurtleff
This map shows the geographic impact of Sheila A. Shurtleff'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 Sheila A. Shurtleff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheila A. Shurtleff more than expected).
Fields of papers citing papers by Sheila A. Shurtleff
This network shows the impact of papers produced by Sheila A. Shurtleff. 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 Sheila A. Shurtleff. The network helps show where Sheila A. Shurtleff may publish in the future.
Co-authors
The 25 scholars most cited alongside Sheila A. Shurtleff, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Classification, subtype discovery, and prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profiling Hit paper breakdown → | 2002 | 1560 |
| 2 | Genome-wide analysis of genetic alterations in acute lymphoblastic leukaemia Hit paper breakdown → | 2007 | 1480 |
| 3 | The genetic basis of early T-cell precursor acute lymphoblastic leukaemia Hit paper breakdown → | 2012 | 1318 |
| 4 | Deletion of IKZF1 and Prognosis in Acute Lymphoblastic Leukemia Hit paper breakdown → | 2009 | 1174 |
| 5 | Germline Mutations in Predisposition Genes in Pediatric Cancer Hit paper breakdown → | 2015 | 984 |
| 6 | D-type cyclin-dependent kinase activity in mammalian cells. Hit paper breakdown → | 1994 | 965 |
| 7 | BCR–ABL1 lymphoblastic leukaemia is characterized by the deletion of Ikaros Hit paper breakdown → | 2008 | 871 |
| 8 | Whole-genome sequencing identifies genetic alterations in pediatric low-grade gliomas Hit paper breakdown → | 2013 | 679 |
| 9 | Genomic Analysis of the Clonal Origins of Relapsed Acute Lymphoblastic Leukemia Hit paper breakdown → | 2008 | 665 |
| 10 | Recurrent Somatic Structural Variations Contribute to Tumorigenesis in Pediatric Osteosarcoma Hit paper breakdown → | 2014 | 598 |
| 11 | The genomic landscape of hypodiploid acute lymphoblastic leukemia Hit paper breakdown → | 2013 | 556 |
| 12 | Clinical Utility of Microarray-Based Gene Expression Profiling in the Diagnosis and Subclassification of Leukemia: Report From the International Microarray Innovations in Leukemia Study Group Hit paper breakdown → | 2010 | 542 |
| 13 | C11orf95–RELA fusions drive oncogenic NF-κB signalling in ependymoma Hit paper breakdown → | 2014 | 522 |
| 14 | TEL/AML1 fusion resulting from a cryptic t(12;21) is the most common genetic lesion in pediatric ALL and defines a subgroup of patients with an excellent prognosis. | 1995 | 475 |
| 15 | 2003 | 469 | |
| 16 | Genomic Landscape of Ewing Sarcoma Defines an Aggressive Subtype with Co-Association of STAG2 and TP53 Mutations Hit paper breakdown → | 2014 | 419 |
| 17 | 2012 | 411 | |
| 18 | 2015 | 400 | |
| 19 | 2004 | 377 | |
| 20 | 2009 | 313 |
About Sheila A. Shurtleff
Sheila A. Shurtleff is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Genetics, Cancer Research and Oncology, having authored 129 papers that have together received 22.4k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (43 papers), Acute Lymphoblastic Leukemia research (36 papers), Chronic Myeloid Leukemia Treatments (21 papers), Cancer Genomics and Diagnostics (18 papers), Sarcoma Diagnosis and Treatment (11 papers), Glioma Diagnosis and Treatment (11 papers), Protein Degradation and Inhibitors (8 papers) and CAR-T cell therapy research (7 papers). The work is most often cited by research in Hematology (8.0k citations), Genetics (3.1k citations), Public Health, Environmental and Occupational Health (7.7k citations), Cancer Research (2.9k citations) and Oncology (3.9k citations). Sheila A. Shurtleff has collaborated with scholars based in United States, Singapore and Australia. Frequent co-authors include James R. Downing, Ching‐Hon Pui, Charles J. Sherr, Charles Grenfell Mullighan, Jing Ma, Christopher B. Miller, Susana Catalina Raimondi, Xiaoping Su, Jun‐ya Kato and Dawn E. Quelle. Their work appears in journals such as Blood, Nature, Nature Genetics, Journal of Clinical Oncology and Molecular and Cellular Biology.
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.