Amber M. Yates

457 total citations
10 papers, 78 citations indexed

About

Amber M. Yates is a scholar working on Genetics, Hematology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Amber M. Yates has authored 10 papers receiving a total of 78 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 6 papers in Hematology and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Amber M. Yates's work include Hemoglobinopathies and Related Disorders (8 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers) and Iron Metabolism and Disorders (3 papers). Amber M. Yates is often cited by papers focused on Hemoglobinopathies and Related Disorders (8 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers) and Iron Metabolism and Disorders (3 papers). Amber M. Yates collaborates with scholars based in United States, Hong Kong and Canada. Amber M. Yates's co-authors include Russell E. Ware, Jane S. Hankins, Matthew P. Smeltzer, Laurence Dedeken, Winfred C. Wang, Nicole A. Mortier, Nancy Robitaille, Jeffrey D. Lebensburger, Vijaya M. Joshi and Erin Doherty and has published in prestigious journals such as Blood, Pediatric Blood & Cancer and American Journal of Medical Genetics Part A.

In The Last Decade

Amber M. Yates

9 papers receiving 77 citations

Peers

Amber M. Yates

GENET

HEMAT

ID

PPCH

PHYSI

Shane Grimsley United Kingdom

Filippo Cassarà Italy

David Davidson United States

John F. Simmons United States

Tatiana Zinger Lebanon

Rose‐Marie Hamladji France

Herbert Opitz Switzerland

K. Brian United States

Emmanuel Okocha Nigeria

Paula J. Griffin United States

Shane Grimsley United Kingdom

Amber M. Yates

38 ×0.7

GENET

85 ×1.8

HEMAT

6 ×0.3

ID

18 ×1.1

PPCH

66 ×4.7

PHYSI

Citations per year, relative to Amber M. Yates Amber M. Yates (= 1×) peers Shane Grimsley

Countries citing papers authored by Amber M. Yates

Since Specialization

Citations

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

Fields of papers citing papers by Amber M. Yates

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amber M. Yates

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

All Works

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10 of 10 papers shown

1.

Conrey, Anna, Ingrid Frey, Julia Xu, et al.. (2025). Long-term mitapivat treatment is safe and efficacious in patients with sickle cell disease. PubMed. 1(2). 100014–100014.

2.

Conrey, Anna, Ingrid Frey, Julia Xu, et al.. (2023). Long-Term Safety and Efficacy of Mitapivat, an Oral Pyruvate Kinase Activator, in Adults with Sickle Cell Disease: Extension of a Phase 1 Dose Escalation Study. Blood. 142(Supplement 1). 273–273. 3 indexed citations

3.

Joshi, Vijaya M., Amber M. Yates, Victoria Okhomina, et al.. (2021). Longitudinal effect of disease-modifying therapy on tricuspid regurgitant velocity in children with sickle cell anemia. Blood Advances. 5(1). 89–98. 6 indexed citations

4.

Gijavanekar, Charul, Sarah H. Elsea, Stephen F. Kralik, et al.. (2021). A phenotypic expansion of TRNT1 associated sideroblastic anemia with immunodeficiency, fevers, and developmental delay. American Journal of Medical Genetics Part A. 188(1). 259–268. 5 indexed citations

5.

Kamdar, Kala Y., et al.. (2021). COVID-19 outcomes in a large pediatric hematology-oncology center in Houston, Texas. Pediatric Hematology and Oncology. 38(8). 695–706. 15 indexed citations

6.

George, Alex, Charles G. Minard, Richard L. Hurwitz, et al.. (2019). Ndepth: A Randomized Controlled Trial of a Novel Dose-Prediction Equation to Determine Maximum Tolerated Dose for Hydroxyurea Therapy in Pediatric Patients with Sickle Cell Anemia. Blood. 134(Supplement_1). 2267–2267. 3 indexed citations

7.

Yates, Amber M., Vijaya M. Joshi, Banu Aygün, et al.. (2019). Elevated tricuspid regurgitation velocity in congenital hemolytic anemias: Prevalence and laboratory correlates. Pediatric Blood & Cancer. 66(7). e27717–e27717. 11 indexed citations

8.

Khan, Maliha, C. Cameron Yin, Amber M. Yates, Kate J. Newberry, & Srđan Verstovšek. (2016). A Rare Case of Primary Myelofibrosis in a 14-Year-Old Patient With Congenital Asplenia. Journal of Pediatric Hematology/Oncology. 39(4). e196–e198. 2 indexed citations

9.

Yates, Amber M., Laurence Dedeken, Matthew P. Smeltzer, et al.. (2012). Hydroxyurea treatment of children with hemoglobin SC disease. Pediatric Blood & Cancer. 60(2). 323–325. 16 indexed citations

10.

Yates, Amber M., et al.. (2010). The diagnostic dilemma of congenital unstable hemoglobinopathies. Pediatric Blood & Cancer. 55(7). 1393–1395. 17 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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