Arleigh McCurdy

3.1k total citations · 1 hit paper
92 papers, 1.8k citations indexed

About

Arleigh McCurdy is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Arleigh McCurdy has authored 92 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Hematology, 63 papers in Molecular Biology and 50 papers in Oncology. Recurrent topics in Arleigh McCurdy's work include Multiple Myeloma Research and Treatments (80 papers), Protein Degradation and Inhibitors (43 papers) and Cancer Treatment and Pharmacology (26 papers). Arleigh McCurdy is often cited by papers focused on Multiple Myeloma Research and Treatments (80 papers), Protein Degradation and Inhibitors (43 papers) and Cancer Treatment and Pharmacology (26 papers). Arleigh McCurdy collaborates with scholars based in Canada, United States and United Kingdom. Arleigh McCurdy's co-authors include Martha Q. Lacy, Morie A. Gertz, Angela Dispenzieri, Suzanne R. Hayman, Robert A. Kyle, Francis K. Buadi, Shaji Kumar, David Dingli, Prashant Kapoor and Nelson Leung and has published in prestigious journals such as Nature Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Arleigh McCurdy

83 papers receiving 1.8k citations

Hit Papers

Continued improvement in survival in multiple myeloma: ch... 2013 2026 2017 2021 2013 250 500 750

Peers

Arleigh McCurdy
Andrew Cakana United States
Karthik Ramasamy United Kingdom
Joth Jacobson United States
Raymond Thertulien United States
Leonard T. Heffner United States
Andrew Cakana United States
Arleigh McCurdy
Citations per year, relative to Arleigh McCurdy Arleigh McCurdy (= 1×) peers Andrew Cakana

Countries citing papers authored by Arleigh McCurdy

Since Specialization
Citations

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

Fields of papers citing papers by Arleigh McCurdy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arleigh McCurdy

This figure shows the co-authorship network connecting the top 25 collaborators of Arleigh McCurdy. A scholar is included among the top collaborators of Arleigh McCurdy 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 Arleigh McCurdy. Arleigh McCurdy 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.
Venner, Christopher P., Peter Duggan, Kevin Song, et al.. (2024). Tandem Autologous Stem Cell Transplantation Does Not Benefit High-Risk Myeloma Patients in the Maintenance Era: Real-World Results from The Canadian Myeloma Research Group Database. Transplantation and Cellular Therapy. 30(9). 889–901. 1 indexed citations
2.
Sandhu, Irwindeep, Michael P. Chu, Kathryn N. Rankin, et al.. (2024). Incidence and Prevalence of Clinically Detected Smoldering Multiple Myeloma Among the General Population. Blood. 144(Supplement 1). 1912–1912.
3.
Mian, Hira, Hsien Seow, Matthew C. Cheung, et al.. (2024). A Prognostic Survival Model Incorporating Patient-Reported Outcomes for Transplant-Ineligible Patients With Multiple Myeloma. The Oncologist. 29(6). 519–526. 2 indexed citations
4.
Chakraborty, Rajshekhar, Bram Rochwerg, Alissa Visram, et al.. (2024). Quadruplet regimens for patients with newly diagnosed multiple myeloma: a systematic review and meta-analysis. Blood Advances. 8(23). 5993–6002. 8 indexed citations
5.
McCurdy, Arleigh, Donna Reece, Martha Louzada, et al.. (2024). Belantamab mafodotin, pomalidomide, and dexamethasone for triple class exposed/refractory relapsed multiple myeloma: a subgroup analysis of the ALGONQUIN trial. Blood Cancer Journal. 14(1). 155–155. 2 indexed citations
6.
Visram, Alissa, Kelvin Chan, Hsien Seow, et al.. (2024). Comparing the clinical trial efficacy <i>versus</i> real-world effectiveness of treatments for multiple myeloma: a population-based study. Haematologica. 110(1). 228–233.
7.
Haider, Imran, Darryl P. Leong, Martha Louzada, et al.. (2024). Trajectories of Frailty Categorization over Time Among Real-World Patients with Multiple Myeloma: A Prospective Cohort Study (MFRAIL). Blood. 144(Supplement 1). 703–703. 1 indexed citations
8.
Visram, Alissa, Hsien Seow, Gregory R. Pond, et al.. (2023). Treatment Patterns and Healthcare Resource Utilization Among Patients with Triple Class Exposed Multiple Myeloma: A Population-Based Cohort Study. Blood. 142(Supplement 1). 3774–3774. 1 indexed citations
9.
McCurdy, Arleigh, Donna Reece, Christopher P. Venner, et al.. (2023). Second Line Treatment and Outcomes of Patients with Multiple Myeloma: A Real World Multi-Institutional Report from the Canadian Myeloma Research Group (CMRG) Database. Blood. 142(Supplement 1). 3364–3364. 1 indexed citations
10.
McCurdy, Arleigh & Alissa Visram. (2022). The Role of Belantamab Mafodotin, Selinexor, and Melflufen in Multiple Myeloma. Current Hematologic Malignancy Reports. 17(6). 306–318. 6 indexed citations
11.
Murthy, Sanjay K., Arleigh McCurdy, Marc Carrier, & Jeffrey D. McCurdy. (2020). Venous thromboembolic events in inflammatory bowel diseases: A review of current evidence and guidance on risk in the post-hospitalization setting. Thrombosis Research. 194. 26–32. 11 indexed citations
13.
McCurdy, Arleigh, et al.. (2019). The impact of multiple myeloma induction therapy on hematopoietic stem cell mobilization and collection: 25-year experience. Hematology Transfusion and Cell Therapy. 41(4). 285–291. 2 indexed citations
14.
15.
McCudden, Christopher R., et al.. (2017). Synoptic reporting for protein electrophoresis and immunofixation. Clinical Biochemistry. 51. 21–28. 9 indexed citations
16.
McCudden, Christopher R., et al.. (2017). Monoclonal protein reference change value as determined by gel-based serum protein electrophoresis. Clinical Biochemistry. 51. 61–65. 8 indexed citations
17.
Grogan, Martha, Morie A. Gertz, Arleigh McCurdy, et al.. (2016). Long term outcomes of cardiac transplant for immunoglobulin light chain amyloidosis: The Mayo Clinic experience. World Journal of Transplantation. 6(2). 380–380. 51 indexed citations
18.
Cordes, Stefan, Morie A. Gertz, Francis K. Buadi, et al.. (2015). Autologous stem cell transplantation in immunoglobulin light chain amyloidosis with factor X deficiency. Blood Coagulation & Fibrinolysis. 27(1). 101–108. 9 indexed citations
19.
Kapoor, Prashant, Shaji Kumar, Angela Dispenzieri, et al.. (2013). Importance of Achieving Stringent Complete Response After Autologous Stem-Cell Transplantation in Multiple Myeloma. Journal of Clinical Oncology. 31(36). 4529–4535. 120 indexed citations
20.
Dispenzieri, Angela, Morie A. Gertz, Martha Q. Lacy, et al.. (2013). Therapeutic Strategies For Initial Treatment Of AL Amyloidosis: Implications Of Therapy and Response On Outcome. Blood. 122(21). 3343–3343. 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.

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