Aaron C. Shaver

1.5k total citations
22 papers, 701 citations indexed

About

Aaron C. Shaver is a scholar working on Hematology, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, Aaron C. Shaver has authored 22 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Hematology, 8 papers in Public Health, Environmental and Occupational Health and 5 papers in Molecular Biology. Recurrent topics in Aaron C. Shaver's work include Acute Myeloid Leukemia Research (9 papers), Acute Lymphoblastic Leukemia research (6 papers) and Chronic Myeloid Leukemia Treatments (4 papers). Aaron C. Shaver is often cited by papers focused on Acute Myeloid Leukemia Research (9 papers), Acute Lymphoblastic Leukemia research (6 papers) and Chronic Myeloid Leukemia Treatments (4 papers). Aaron C. Shaver collaborates with scholars based in United States, Canada and France. Aaron C. Shaver's co-authors include Paul Sniegowski, Philip J. Gerrish, Toby Johnson, Adam C. Seegmiller, Claudio A. Mosse, Bruce Greig, Michael R. Savona, Michael Byrne, Caroline C. Sigman and Maria P. Arrate and has published in prestigious journals such as Blood, Genetics and Clinical Cancer Research.

In The Last Decade

Aaron C. Shaver

19 papers receiving 691 citations

Peers

Aaron C. Shaver

GENET

PHEOH

SPS

HEMAT

Gema Gómez‐Mariano Spain

Luiza Tamie Tsuneto Brazil

J. Moscoso Spain

Marcos Amador Brazil

Francis J. Pierciey United States

Peter A. Lind Sweden

Nirupama Mulherkar United States

William H. Carr United States

Jan Klein Germany

Hiba S. Mohamed Sudan

Gema Gómez‐Mariano Spain

Aaron C. Shaver

208 ×0.5

GENET

289 ×0.9

43 ×0.3

PHEOH

24 ×0.2

SPS

16 ×0.1

HEMAT

Citations per year, relative to Aaron C. Shaver Aaron C. Shaver (= 1×) peers Gema Gómez‐Mariano

Countries citing papers authored by Aaron C. Shaver

Since Specialization

Citations

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

Fields of papers citing papers by Aaron C. Shaver

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aaron C. Shaver. 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 Aaron C. Shaver. The network helps show where Aaron C. Shaver may publish in the future.

Co-authorship network of co-authors of Aaron C. Shaver

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

All Works

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20 of 20 papers shown

Shaver, Aaron C., et al.. (2024). Flow Cytometric Assessment of Malignant Hematologic Disorders. Clinics in Laboratory Medicine. 44(3). 465–477.

Mason, Emily F., Olga Pozdnyakova, Mikhail Roshal, et al.. (2021). A novel differentiation response with combination IDH inhibitor and intensive induction therapy for AML. Blood Advances. 5(8). 2279–2283. 5 indexed citations

L’Imperio, Vincenzo, et al.. (2020). Lymphoma and the Kidney: A Kidney Biopsy Teaching Case. Kidney Medicine. 2(5). 663–666. 5 indexed citations

Fischer, Melissa A., Sharon Friedlander, Maria P. Arrate, et al.. (2020). Venetoclax response is enhanced by selective inhibitor of nuclear export compounds in hematologic malignancies. Blood Advances. 4(3). 586–598. 44 indexed citations

Eichbaum, Quentin, et al.. (2018). Mortality and morbidity rounds (MMR) in pathology: relative contribution of cognitive bias vs. systems failures to diagnostic error. Diagnosis. 6(3). 249–257. 5 indexed citations

Strickland, Stephen A., Aaron C. Shaver, Michael Byrne, et al.. (2018). Genotypic and clinical heterogeneity within NCCN favorable-risk acute myeloid leukemia. Leukemia Research. 65. 67–73. 10 indexed citations

Wheeler, Ferrin C., Annette S. Kim, Claudio A. Mosse, et al.. (2018). Limited Utility of Fluorescence In Situ Hybridization for Recurrent Abnormalities in Acute Myeloid Leukemia at Diagnosis and Follow-up. American Journal of Clinical Pathology. 149(5). 418–424. 9 indexed citations

Shaver, Aaron C., et al.. (2017). Surgical excision for recurrent herpes simplex virus 2 (HSV-2) anogenital infection in a patient with human immunodeficiency virus (HIV). Infection. 45(5). 705–707. 6 indexed citations

Shaver, Aaron C. & Adam C. Seegmiller. (2017). Nuances of Morphology in Myelodysplastic Diseases in the Age of Molecular Diagnostics. Current Hematologic Malignancy Reports. 12(5). 448–454. 5 indexed citations

10.

Shaver, Aaron C. & Adam C. Seegmiller. (2017). B Lymphoblastic Leukemia Minimal Residual Disease Assessment by Flow Cytometric Analysis. Clinics in Laboratory Medicine. 37(4). 771–785. 11 indexed citations

11.

Keeney, Michael, Brent L. Wood, Benjamin D. Hedley, et al.. (2017). A QA Program for MRD Testing Demonstrates That Systematic Education Can Reduce Discordance Among Experienced Interpreters. Cytometry Part B Clinical Cytometry. 94(2). 239–249. 28 indexed citations

12.

Shaver, Aaron C., et al.. (2016). Concurrent and Clonally Related Pediatric Follicular Lymphoma and Burkitt Lymphoma in a 5-Year-Old Boy. Laboratory Medicine. 47(1). 43–47.

13.

Keeney, Michael, Brent L. Wood, Benjamin D. Hedley, et al.. (2016). Experience with MRD Testing in B- ALL By Flow Cytometry Does Not Prevent Interpretative Discordance. Blood. 128(22). 2907–2907. 1 indexed citations

14.

Seegmiller, Adam C., Annette S. Kim, Claudio A. Mosse, et al.. (2016). Data-Driven Iterative Refinement of Bone Marrow Testing Protocols Leads to Progressive Improvement in Cytogenetic and Molecular Test Utilization. American Journal of Clinical Pathology. 146(5). 585–593. 5 indexed citations

15.

Cohen, Daniel N., Aaron C. Shaver, Liping Du, et al.. (2015). Contribution of Beta-HPV Infection and UV Damage to Rapid-Onset Cutaneous Squamous Cell Carcinoma during BRAF-Inhibition Therapy. Clinical Cancer Research. 21(11). 2624–2634. 23 indexed citations

16.

Fromm, Jonathan R., et al.. (2015). Case study interpretation: Report from the ICCS Annual Meeting, Seattle, 2014. Cytometry Part B Clinical Cytometry. 88(6). 413–424.

17.

Shaver, Aaron C., Bruce Greig, Claudio A. Mosse, & Adam C. Seegmiller. (2015). B-ALL Minimal Residual Disease Flow Cytometry. American Journal of Clinical Pathology. 143(5). 716–724. 20 indexed citations

18.

Shaver, Aaron C., Adam C. Seegmiller, Stephen A. Strickland, et al.. (2015). Mutational Burden in Acute Myeloid Leukemia Is Largely Age Dependent. Blood. 126(23). 2605–2605. 1 indexed citations

19.

Sniegowski, Paul, Philip J. Gerrish, Toby Johnson, & Aaron C. Shaver. (2000). The evolution of mutation rates: separating causes from consequences. BioEssays. 22(12). 1057–1066. 364 indexed citations

20.

Sniegowski, Paul, et al.. (2000). The evolution of mutation rates: separating causes from consequences. BioEssays. 22(12). 1057–1066. 12 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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