Mark Brandt

5.2k total citations
89 papers, 2.9k citations indexed

About

Mark Brandt is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Mark Brandt has authored 89 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Hematology, 30 papers in Molecular Biology and 28 papers in Genetics. Recurrent topics in Mark Brandt's work include Acute Myeloid Leukemia Research (68 papers), Chronic Myeloid Leukemia Treatments (22 papers) and Acute Lymphoblastic Leukemia research (21 papers). Mark Brandt is often cited by papers focused on Acute Myeloid Leukemia Research (68 papers), Chronic Myeloid Leukemia Treatments (22 papers) and Acute Lymphoblastic Leukemia research (21 papers). Mark Brandt collaborates with scholars based in United States, Netherlands and Canada. Mark Brandt's co-authors include Hagop M. Kantarjian, Guillermo Garcia‐Manero, Jörge E. Cortes, Farhad Ravandi, Sherry Pierce, Gautam Borthakur, Stefan Faderl, Susan O’Brien, Tapan M. Kadia and Michael J. Keating and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Cancer.

In The Last Decade

Mark Brandt

85 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Brandt United States 28 2.0k 1.0k 850 763 616 89 2.9k
Maria Christina Cox Italy 30 1.2k 0.6× 850 0.8× 516 0.6× 498 0.7× 842 1.4× 111 2.8k
G Harrison United Kingdom 19 4.0k 2.0× 1.7k 1.6× 1.0k 1.2× 1.9k 2.5× 543 0.9× 30 4.6k
Elisabetta Abruzzese Italy 27 2.5k 1.3× 399 0.4× 1.8k 2.1× 456 0.6× 538 0.9× 150 3.2k
W. Hiddemann Germany 25 758 0.4× 731 0.7× 387 0.5× 298 0.4× 633 1.0× 100 2.0k
Fred G. Behm United States 23 1.1k 0.5× 675 0.7× 270 0.3× 1.3k 1.7× 399 0.6× 38 2.3k
Alistair Reid United Kingdom 25 2.8k 1.4× 389 0.4× 2.4k 2.9× 378 0.5× 386 0.6× 70 3.6k
Akil Merchant United States 24 818 0.4× 1.5k 1.4× 226 0.3× 385 0.5× 836 1.4× 84 2.5k
David T Yeung Australia 22 1.6k 0.8× 408 0.4× 1.3k 1.5× 356 0.5× 358 0.6× 131 2.3k
Kendra Sweet United States 22 1.1k 0.6× 617 0.6× 604 0.7× 170 0.2× 647 1.1× 180 1.8k
Katy Rezvani United States 24 1.4k 0.7× 309 0.3× 783 0.9× 296 0.4× 641 1.0× 71 2.6k

Countries citing papers authored by Mark Brandt

Since Specialization
Citations

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

Fields of papers citing papers by Mark Brandt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Brandt

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Brandt. A scholar is included among the top collaborators of Mark Brandt 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 Mark Brandt. Mark Brandt 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
2.
Kim, Kunhwa, Marina Konopleva, Courtney D. DiNardo, et al.. (2022). Urgent cytoreduction for newly diagnosed acute myeloid leukemia patients allows acquisition of pretreatment genomic data and enrollment on investigational clinical trials. American Journal of Hematology. 97(7). 885–894. 6 indexed citations
4.
Boddu, Prajwal, Jörge E. Cortes, Farhad Ravandi, et al.. (2017). Response Kinetics and Factors Predicting Survival Among Patients with Core Binding Factor (CBF) Acute Myeloid Leukemia (AML). Blood. 130. 27–27. 1 indexed citations
6.
Pemmaraju, Naveen, Hagop M. Kantarjian, Joseph D. Khoury, et al.. (2017). Long-Term Outcomes in Patients with Blastic Plasmacytoid Dendritic Cell Neoplasm (BPDCN). Blood. 130. 3855–3855. 5 indexed citations
7.
Oran, Betül, Jörge E. Cortes, Amer Beitinjaneh, et al.. (2016). Allogeneic Transplantation in First Remission Improves Outcomes Irrespective of FLT3-ITD Allelic Ratio in FLT3-ITD–Positive Acute Myelogenous Leukemia. Biology of Blood and Marrow Transplantation. 22(7). 1218–1226. 59 indexed citations
8.
Pierce, Sherry, Mark Brandt, Srđan Verstovšek, et al.. (2015). Survival Impact of Patients (Pts) with Chronic Myeloid Leukemia (CML) Due to Failure from the Use of One or More Tyrosine Kinase Inhibitors (TKI). Blood. 126(23). 1587–1587. 4 indexed citations
9.
Christopherson, Cody D., Bradford J. Wiggins, Nicole Legate, et al.. (2013). Collaborative Replications and Education Project (CREP). OSF Preprints (OSF Preprints). 21 indexed citations
10.
Ghanem, Hady, A. Megan Cornelison, Guillermo Garcia‐Manero, et al.. (2013). Decitabine Can Be Safely Reduced After Achievement of Best Objective Response in Patients With Myelodysplastic Syndrome. Clinical Lymphoma Myeloma & Leukemia. 13. S289–S294. 2 indexed citations
11.
12.
Ravandi, Farhad, Keyur P. Patel, Rajyalakshmi Luthra, et al.. (2011). Prognostic significance of alterations in IDH enzyme isoforms in patients with AML treated with high‐dose cytarabine and idarubicin. Cancer. 118(10). 2665–2673. 38 indexed citations
13.
Al‐Kali, Aref, Jörge E. Cortes, Stefan Faderl, et al.. (2011). Patterns of Molecular Response to and Relapse After Combination of Sorafenib, Idarubicin, and Cytarabine in Patients With FLT3 Mutant Acute Myeloid Leukemia. Clinical Lymphoma Myeloma & Leukemia. 11(4). 361–366. 21 indexed citations
14.
Konoplev, Sergej, E. Lin, S. Faderl, et al.. (2011). Hypocellular acute myeloid leukemia in adults: analysis of the clinical outcome of 123 patients. Haematologica. 97(2). 235–240. 10 indexed citations
15.
Gardner, Alison, Gloria Mattiuzzi, Stefan Faderl, et al.. (2008). Randomized Comparison of Cooked and Noncooked Diets in Patients Undergoing Remission Induction Therapy for Acute Myeloid Leukemia. Journal of Clinical Oncology. 26(35). 5684–5688. 84 indexed citations
16.
Thomas, Deborah A., Stefan Faderl, Susan O’Brien, et al.. (2006). Chemoimmunotherapy with hyper‐CVAD plus rituximab for the treatment of adult Burkitt and Burkitt‐type lymphoma or acute lymphoblastic leukemia. Cancer. 106(7). 1569–1580. 369 indexed citations
17.
Razzouk, Bassem I., Elihu H. Estey, Stanley Pounds, et al.. (2006). Impact of age on outcome of pediatric acute myeloid leukemia. Cancer. 106(11). 2495–2502. 42 indexed citations
18.
Canalli, Andréia A., Hui Yang, Sima Jeha, et al.. (2005). Aberrant DNA methylation of a cell cycle regulatory pathway composed of P73, P15 and P57KIP2 is a rare event in children with acute lymphocytic leukemia. Leukemia Research. 29(8). 881–885. 14 indexed citations
20.
Bunin, Nancy, Dennis A. Johnston, W. Mark Roberts, et al.. (2003). Residual leukaemia after bone marrow transplant in children with acute lymphoblastic leukaemia after first haematological relapse or with poor initial presenting features. British Journal of Haematology. 120(4). 711–715. 10 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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