Kyle A. Beckwith

2.2k total citations · 1 hit paper
18 papers, 681 citations indexed

About

Kyle A. Beckwith is a scholar working on Genetics, Pathology and Forensic Medicine and Immunology. According to data from OpenAlex, Kyle A. Beckwith has authored 18 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Genetics, 8 papers in Pathology and Forensic Medicine and 7 papers in Immunology. Recurrent topics in Kyle A. Beckwith's work include Chronic Lymphocytic Leukemia Research (16 papers), Lymphoma Diagnosis and Treatment (7 papers) and Immunodeficiency and Autoimmune Disorders (4 papers). Kyle A. Beckwith is often cited by papers focused on Chronic Lymphocytic Leukemia Research (16 papers), Lymphoma Diagnosis and Treatment (7 papers) and Immunodeficiency and Autoimmune Disorders (4 papers). Kyle A. Beckwith collaborates with scholars based in United States, Austria and Australia. Kyle A. Beckwith's co-authors include John C. Byrd, Natarajan Muthusamy, Jennifer A. Woyach, Amy J. Johnson, Leslie A. Andritsos, Kami J. Maddocks, Amy M. Lehman, Joseph M. Flynn, Carolyn Cheney and Priscilla Do and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Neuroscience and Blood.

In The Last Decade

Kyle A. Beckwith

18 papers receiving 676 citations

Hit Papers

Ibrutinib treatment improves T cell number and function i... 2017 2026 2020 2023 2017 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kyle A. Beckwith United States 10 391 300 269 222 164 18 681
Lisa Bonello Italy 11 428 1.1× 195 0.7× 312 1.2× 247 1.1× 279 1.7× 15 842
Rogier Mous Netherlands 11 174 0.4× 308 1.0× 245 0.9× 392 1.8× 155 0.9× 35 723
Katherine Chung United States 9 56 0.1× 223 0.7× 236 0.9× 200 0.9× 167 1.0× 13 661
John Densmore United States 10 202 0.5× 257 0.9× 337 1.3× 219 1.0× 154 0.9× 27 712
Peter Kjellén Sweden 12 174 0.4× 93 0.3× 415 1.5× 88 0.4× 163 1.0× 16 652
Jack Y. Lee United States 11 135 0.3× 66 0.2× 341 1.3× 207 0.9× 264 1.6× 17 762
Jesús Gutiérrez‐Abril Spain 4 253 0.6× 187 0.6× 137 0.5× 65 0.3× 287 1.8× 8 537
Nduka Amankulor United States 4 209 0.5× 75 0.3× 305 1.1× 240 1.1× 164 1.0× 7 600
Chiara Dell’Agnola Italy 10 95 0.2× 56 0.2× 252 0.9× 295 1.3× 361 2.2× 12 659
Edith Szafer‐Glusman United States 14 321 0.8× 384 1.3× 163 0.6× 343 1.5× 173 1.1× 58 829

Countries citing papers authored by Kyle A. Beckwith

Since Specialization
Citations

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

Fields of papers citing papers by Kyle A. Beckwith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle A. Beckwith. 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 Kyle A. Beckwith. The network helps show where Kyle A. Beckwith may publish in the future.

Co-authorship network of co-authors of Kyle A. Beckwith

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

All Works

18 of 18 papers shown
1.
Kittai, Adam S., Ying Huang, Kyle A. Beckwith, et al.. (2022). Patient characteristics that predict Richter's transformation in patients with chronic lymphocytic leukemia treated with ibrutinib. American Journal of Hematology. 98(1). 56–65. 8 indexed citations
2.
Kittai, Adam S., Cecelia Miller, Ying Huang, et al.. (2021). The impact of increasing karyotypic complexity and evolution on survival in patients with CLL treated with ibrutinib. Blood. 138(23). 2372–2382. 31 indexed citations
3.
Kittai, Adam S., Ying Huang, Kyle A. Beckwith, et al.. (2021). Utilizing Clinical Features of Progression to Predict Richter's Syndrome in Patients with CLL Progressing after Ibrutinib. Blood. 138(Supplement 1). 3731–3731. 2 indexed citations
4.
Goldstein, Daniel J., Kyle A. Beckwith, Cecelia Miller, et al.. (2020). Increasing Karyotypic Complexity Predicts Outcomes in Patients with Chronic Lymphocytic Leukemia Treated with Ibrutinib. Blood. 136(Supplement 1). 2–3. 1 indexed citations
5.
Do, Priscilla, Kyle A. Beckwith, Carolyn Cheney, et al.. (2019). Leukemic B Cell CTLA-4 Suppresses Costimulation of T Cells. The Journal of Immunology. 202(9). 2806–2816. 22 indexed citations
6.
Long, Meixiao, Kyle A. Beckwith, Priscilla Do, et al.. (2017). Ibrutinib treatment improves T cell number and function in CLL patients. Journal of Clinical Investigation. 127(8). 3052–3064. 288 indexed citations breakdown →
7.
Do, Priscilla, Kyle A. Beckwith, Larry Beaver, et al.. (2016). Leukemic Cell Expressed CTLA-4 Suppresses T Cells Via Down-Modulation of CD80 By Trans-Endocytosis. Blood. 128(22). 3221–3221. 3 indexed citations
8.
9.
Hing, Zachary A., Rose Mantel, Kyle A. Beckwith, et al.. (2015). Selinexor is effective in acquired resistance to ibrutinib and synergizes with ibrutinib in chronic lymphocytic leukemia. Blood. 125(20). 3128–3132. 72 indexed citations
10.
Gensel, John C., Yan Wang, Zhen Guan, et al.. (2015). Toll-Like Receptors and Dectin-1, a C-Type Lectin Receptor, Trigger Divergent Functions in CNS Macrophages. Journal of Neuroscience. 35(27). 9966–9976. 56 indexed citations
11.
Beckwith, Kyle A., John C. Byrd, & Natarajan Muthusamy. (2015). Tetraspanins as therapeutic targets in hematological malignancy: a concise review. Frontiers in Physiology. 6. 91–91. 45 indexed citations
12.
Long, Meixiao, Kyle A. Beckwith, Kami J. Maddocks, et al.. (2015). Ibrutinib Treatment Reduces Both T-Regulatory Cells and B-Regulatory Cell Phenotype in Malignant B Cells in Chronic Lymphocytic Leukemia Patients. Blood. 126(23). 2940–2940. 3 indexed citations
13.
Beckwith, Kyle A., et al.. (2015). The Role of Tetraspanin CD37 in B-Cell Malignancy. Blood. 126(23). 1258–1258. 2 indexed citations
14.
Beckwith, Kyle A., Frank Frissora, Matthew Stefanovski, et al.. (2014). The CD37-targeted antibody–drug conjugate IMGN529 is highly active against human CLL and in a novel CD37 transgenic murine leukemia model. Leukemia. 28(7). 1501–1510. 29 indexed citations
15.
Ling, Yonghua, Jennifer A. Woyach, Kyle A. Beckwith, et al.. (2014). OSU-T315: a novel targeted therapeutic that antagonizes AKT membrane localization and activation of chronic lymphocytic leukemia cells. Blood. 125(2). 284–295. 21 indexed citations
16.
Zhong, Yi, Dalia El‐Gamal, Jason A. Dubovsky, et al.. (2014). Selinexor suppresses downstream effectors of B-cell activation, proliferation and migration in chronic lymphocytic leukemia cells. Leukemia. 28(5). 1158–1163. 45 indexed citations
17.
Stephens, Deborah M., Kyle A. Beckwith, Carolyn Cheney, et al.. (2014). BI 836826, a Novel Fc-Engineered Antibody in Combination with Phosphoinositide-3-Kinase Inhibitor for Treatment of High Risk Chronic Lymphocytic Leukemia. Blood. 124(21). 4681–4681. 4 indexed citations
18.
Hertlein, Erin, Kyle A. Beckwith, Gerard Lozanski, et al.. (2013). Characterization of a New Chronic Lymphocytic Leukemia Cell Line for Mechanistic In Vitro and In Vivo Studies Relevant to Disease. PLoS ONE. 8(10). e76607–e76607. 46 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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