Anuja Roy

2.7k total citations · 1 hit paper
41 papers, 2.2k citations indexed

About

Anuja Roy is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Anuja Roy has authored 41 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Hematology, 10 papers in Molecular Biology and 8 papers in Oncology. Recurrent topics in Anuja Roy's work include Platelet Disorders and Treatments (14 papers), Blood groups and transfusion (10 papers) and Multiple Myeloma Research and Treatments (8 papers). Anuja Roy is often cited by papers focused on Platelet Disorders and Treatments (14 papers), Blood groups and transfusion (10 papers) and Multiple Myeloma Research and Treatments (8 papers). Anuja Roy collaborates with scholars based in United States, Switzerland and United Kingdom. Anuja Roy's co-authors include Daniel A. Ollendorf, Carol Fairchild, Joyce A. Cramer, Peter K. K. Wong, Anita Burrell, Mahesh Fuldeore, Shawn Yu, Omar Dabbous, Michael J. Smith and David S. Siegel and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Journal of the American College of Cardiology.

In The Last Decade

Anuja Roy

38 papers receiving 2.1k citations

Hit Papers

Medication Compliance and Persistence: Terminology and De... 2007 2026 2013 2019 2007 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anuja Roy United States 11 823 359 344 319 284 41 2.2k
Mahesh Fuldeore United States 20 819 1.0× 345 1.0× 331 1.0× 324 1.0× 125 0.4× 32 2.9k
Anita Burrell United States 9 815 1.0× 340 0.9× 383 1.1× 317 1.0× 89 0.3× 22 2.0k
E Sabaté Switzerland 5 805 1.0× 310 0.9× 226 0.7× 261 0.8× 57 0.2× 11 1.9k
Beth Nordstrom United States 23 312 0.4× 224 0.6× 167 0.5× 210 0.7× 183 0.6× 80 2.8k
Sarah Clifford United Kingdom 13 727 0.9× 250 0.7× 212 0.6× 254 0.8× 151 0.5× 22 1.4k
Lina Eliasson United Kingdom 16 522 0.6× 217 0.6× 192 0.6× 263 0.8× 896 3.2× 26 1.9k
Heather McDonald Canada 15 1.4k 1.7× 538 1.5× 457 1.3× 459 1.4× 55 0.2× 16 3.1k
Emily Fargher United Kingdom 9 1.2k 1.4× 425 1.2× 365 1.1× 442 1.4× 43 0.2× 12 2.1k
Michael Eaddy United States 21 217 0.3× 307 0.9× 257 0.7× 170 0.5× 114 0.4× 96 1.5k
Michał Matyjaszczyk Poland 5 1.4k 1.6× 469 1.3× 326 0.9× 385 1.2× 42 0.1× 6 2.1k

Countries citing papers authored by Anuja Roy

Since Specialization
Citations

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

Fields of papers citing papers by Anuja Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anuja Roy

This figure shows the co-authorship network connecting the top 25 collaborators of Anuja Roy. A scholar is included among the top collaborators of Anuja Roy 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 Anuja Roy. Anuja Roy 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.
Bourque, Jamieson M., Rahul Bhambri, Adam Castaño, et al.. (2022). Temporal Trends in Diagnostic Testing Patterns for Wild-Type Transthyretin Amyloid Cardiomyopathy in the Medicare Fee-for-Service Population. The American Journal of Cardiology. 167. 98–103. 7 indexed citations
2.
Roy, Anuja, Andrew M. Peterson, José Alvir, et al.. (2022). Baseline Characteristics and Secondary Medication Adherence Patterns Among Patients Receiving Tafamidis Prescriptions: A Retrospective Analysis Using a National Specialty Pharmacy Dispensing Database. Patient Preference and Adherence. Volume 16. 1115–1129. 4 indexed citations
4.
5.
Bourque, Jamieson M., Rahul Bhambri, Adam Castaño, et al.. (2021). TEMPORAL TRENDS IN DIAGNOSTIC TESTING PATTERNS FOR WILD-TYPE TRANSTHYRETIN AMYLOID CARDIOMYOPATHY IN THE MEDICARE FEE-FOR-SERVICE POPULATION. Journal of the American College of Cardiology. 77(18). 528–528. 1 indexed citations
6.
Cooper, Nichola, Quentin A. Hill, John D. Grainger, et al.. (2021). Tapering and Discontinuation of Thrombopoietin Receptor Agonist Therapy in Patients with Immune Thrombocytopenia: Results from a Modified Delphi Panel. Acta Haematologica. 144(4). 418–426. 19 indexed citations
7.
Tremblay, Gabriel, Qayyim Said, Anuja Roy, et al.. (2019). <p>Budget Impact Of Eltrombopag As First-Line Treatment For Severe Aplastic Anemia In The United States</p>. ClinicoEconomics and Outcomes Research. Volume 11. 673–681. 6 indexed citations
8.
Said, Qayyim, et al.. (2018). Evaluation of Treatment Outcomes after Second-Line Treatment Among Adult Patients with Immune Thrombocytopenia. Blood. 132(Supplement 1). 3765–3765. 1 indexed citations
9.
Pickard, A. Simon, Lynn Huynh, Jasmina Ivanova, et al.. (2018). Value of transfusion independence in severe aplastic anemia from patients’ perspectives – a discrete choice experiment. Journal of Patient-Reported Outcomes. 2(1). 13–13. 6 indexed citations
10.
Tremblay, Gabriel, Menaka Bhor, Anuja Roy, et al.. (2017). Cost-Consequence Model Comparing Eltrombopag and Romiplostim for Pediatric Patients with Previously-Treated Chronic Immune Thrombocytopenia. Blood. 130. 2146–2146. 1 indexed citations
13.
Saleh, Mansoor N., James B. Bussel, Abderrahim Khélif, et al.. (2016). Improvements in Patient Health-Related Quality of Life (HRQoL) with Clinical Efficacy in Patients Treated with Eltrombopag: Final Results from the Long-Term, Open-Label Extend Study. Blood. 128(22). 3742–3742. 3 indexed citations
14.
15.
Bloudek, Lisa, Anuja Roy, Jonathan Kish, et al.. (2016). Estimating the Economic Impact of Adding Panobinostat to a U.S. Formulary for Relapsed and/or Refractory Multiple Myeloma: A Budget Impact and Cost-Benefit Model. Journal of Managed Care & Specialty Pharmacy. 22(8). 991–1002. 7 indexed citations
16.
Khélif, Abderrahim, Mansoor N. Saleh, Abdulgabar Salama, et al.. (2016). Patient-Reported Health-Related Quality of Life Improves over Time in Patients with Chronic Immune Thrombocytopenia Receiving Long-Term Treatment with Eltrombopag. Blood. 128(22). 3750–3750. 3 indexed citations
17.
Roy, Anuja, Jonathan Kish, Lisa Bloudek, et al.. (2015). Estimating the Costs of Therapy in Patients with Relapsed and/or Refractory Multiple Myeloma: A Model Framework.. PubMed. 8(4). 204–15. 53 indexed citations
18.
Jain, Gagan, et al.. (2013). Patient-reported Depression Severity Measured by the PHQ-9 and Impact on Work Productivity. Journal of Occupational and Environmental Medicine. 55(3). 252–258. 68 indexed citations
19.
Cramer, Joyce A., Anuja Roy, Anita Burrell, et al.. (2007). Medication Compliance and Persistence: Terminology and Definitions. Value in Health. 11(1). 44–47. 1728 indexed citations breakdown →
20.
Roy, Anuja, et al.. (2007). Comparative economic analysis of aromatase inhibitors and tamoxifen in the treatment of hormone-dependent breast cancer. Expert Opinion on Pharmacotherapy. 8(11). 1675–1691. 2 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026