Bartlomiej Getta

640 total citations
19 papers, 236 citations indexed

About

Bartlomiej Getta is a scholar working on Genetics, Hematology and Pathology and Forensic Medicine. According to data from OpenAlex, Bartlomiej Getta has authored 19 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Genetics, 12 papers in Hematology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Bartlomiej Getta's work include Acute Myeloid Leukemia Research (11 papers), Chronic Lymphocytic Leukemia Research (7 papers) and Hematopoietic Stem Cell Transplantation (5 papers). Bartlomiej Getta is often cited by papers focused on Acute Myeloid Leukemia Research (11 papers), Chronic Lymphocytic Leukemia Research (7 papers) and Hematopoietic Stem Cell Transplantation (5 papers). Bartlomiej Getta collaborates with scholars based in United States, Australia and Brazil. Bartlomiej Getta's co-authors include Martin S. Tallman, Ross L. Levine, Maria E. Arcila, Sean M. Devlin, Sergio Giralt, Mikhail Roshal, Ahmet Zehir, Abhinita Mohanty, Jae H. Park and Raquel de Melo Alves Paiva and has published in prestigious journals such as Blood, British Journal of Haematology and Leukemia.

In The Last Decade

Bartlomiej Getta

18 papers receiving 236 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bartlomiej Getta United States 6 184 117 64 54 37 19 236
Sally Jeffries United Kingdom 6 183 1.0× 57 0.5× 66 1.0× 50 0.9× 58 1.6× 10 235
Jana Linhartová Czechia 7 191 1.0× 120 1.0× 46 0.7× 79 1.5× 26 0.7× 13 242
Karolína Perglerová Germany 6 194 1.1× 91 0.8× 109 1.7× 63 1.2× 37 1.0× 15 256
Claudia Venturi Italy 8 175 1.0× 89 0.8× 61 1.0× 92 1.7× 24 0.6× 23 234
Mahesh Swaminathan United States 8 172 0.9× 81 0.7× 111 1.7× 30 0.6× 26 0.7× 31 239
Ghayas C. Issa United States 8 219 1.2× 86 0.7× 118 1.8× 44 0.8× 49 1.3× 30 291
Sophie Dobbelstein France 6 168 0.9× 80 0.7× 101 1.6× 37 0.7× 26 0.7× 7 261
Steven Richebourg France 6 218 1.2× 68 0.6× 122 1.9× 32 0.6× 19 0.5× 10 256
Carmen Sanzo Spain 5 166 0.9× 84 0.7× 48 0.8× 48 0.9× 15 0.4× 5 211
Friederike Pastore Germany 8 255 1.4× 131 1.1× 164 2.6× 34 0.6× 23 0.6× 12 303

Countries citing papers authored by Bartlomiej Getta

Since Specialization
Citations

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

Fields of papers citing papers by Bartlomiej Getta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bartlomiej Getta

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

All Works

19 of 19 papers shown
1.
Descallar, Joseph, et al.. (2023). Impact of Outpatient Administration of Cytarabine Consolidation Chemotherapy on Hospital Length of Stay in Adults with Acute Myeloid Leukemia. Blood. 142(Supplement 1). 3723–3723. 1 indexed citations
2.
Getta, Bartlomiej, et al.. (2021). Atypical cutaneous histiocytic eruption in a patient with chronic myelomonocytic leukemia: A case report. Journal of Cutaneous Pathology. 48(5). 680–688. 1 indexed citations
3.
Song, Ning, Alvin C. Kwok, Bartlomiej Getta, et al.. (2020). 128 Intravascular Haemolysis – A Rare Complication of the MitraClip. Heart Lung and Circulation. 29. S93–S93. 1 indexed citations
4.
Santos, Fábio Pires de Souza, Bartlomiej Getta, Lucia Masárová, et al.. (2019). Prognostic impact of RAS-pathway mutations in patients with myelofibrosis. Leukemia. 34(3). 799–810. 54 indexed citations
5.
Getta, Bartlomiej, Gillian Huang, David R. Collins, et al.. (2019). Pre‐ and post‐bone marrow harvest anaemia is associated with lower CD34+ stem cell collection, high harvest volume and female gender. Internal Medicine Journal. 50(3). 299–306. 3 indexed citations
6.
Getta, Bartlomiej, Sean M. Devlin, Jae H. Park, Martin S. Tallman, & Ellin Berman. (2018). Disease characteristics and clinical outcomes in patients aged less than 40 with chronic lymphocytic leukemia. Leukemia Research. 65. 80–85. 2 indexed citations
7.
Getta, Bartlomiej, Sean M. Devlin, Ross L. Levine, et al.. (2017). Multicolor Flow Cytometry and Multigene Next-Generation Sequencing Are Complementary and Highly Predictive for Relapse in Acute Myeloid Leukemia after Allogeneic Transplantation. Biology of Blood and Marrow Transplantation. 23(7). 1064–1071. 97 indexed citations
8.
Getta, Bartlomiej, Ashwin Kishtagari, Patrick Hilden, et al.. (2017). Allogeneic Hematopoietic Stem Cell Transplantation Is Underutilized in Older Patients with Myelodysplastic Syndromes. Biology of Blood and Marrow Transplantation. 23(7). 1078–1086. 22 indexed citations
9.
Getta, Bartlomiej, Mikhail Roshal, Junting Zheng, et al.. (2017). Allogeneic Hematopoietic Stem Cell Transplantation with Myeloablative Conditioning Is Associated with Favorable Outcomes in Mixed Phenotype Acute Leukemia. Biology of Blood and Marrow Transplantation. 23(11). 1879–1886. 13 indexed citations
10.
11.
Getta, Bartlomiej, Junting Zheng, Martin S. Tallman, et al.. (2016). Allogeneic Hematopoietic Stem Cell Transplant with Ablative Conditioning Is Associated with Favorable Outcomes in Patients with Mixed Phenotype Acute Leukemia. Blood. 128(22). 3487–3487. 1 indexed citations
12.
Getta, Bartlomiej, Emily C. Zabor, Sean M. Devlin, et al.. (2016). RAS Pathway Mutations Are Associated with Proliferative Features and Frequently Co-Occur with TET2 mutationsin Philadelphia Negative MPN Subtypes. Blood. 128(22). 4269–4269. 2 indexed citations
13.
Getta, Bartlomiej, Arnab Ghosh, Catherine C. Coombs, et al.. (2016). TP53 Mutations in AML Predict Adverse Outcome in Patients Undergoing Allogeneic Hematopoietic Stem Cell Transplant. Blood. 128(22). 3481–3481. 2 indexed citations
14.
Getta, Bartlomiej, Kaitlin M. Woo, Sean M. Devlin, et al.. (2016). Treatment outcomes and secondary cancer incidence in young patients with hairy cell leukaemia. British Journal of Haematology. 175(3). 402–409. 20 indexed citations
15.
Getta, Bartlomiej, Jae H. Park, & Martin S. Tallman. (2015). Hairy cell leukemia: Past, present and future. Best Practice & Research Clinical Haematology. 28(4). 269–272. 12 indexed citations
16.
17.
Getta, Bartlomiej, Omar Abdel‐Wahab, Jae H. Park, & Martin S. Tallman. (2015). Cytogenetics in Hairy Cell Leukemia at Diagnosis and Relapse: The Rate of Therapy-Related Myeloid Malignancies Is Low. Blood. 126(23). 2644–2644.
18.
Park, Jae H., Stephen S. Chung, Benjamin H. Durham, et al.. (2015). Diverse Mechanisms of Vemurafenib Resistance in BRAF-Mutant Hairy Cell Leukemia. Blood. 126(23). 449–449. 1 indexed citations
19.

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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