George Deeb

2.6k total citations
65 papers, 1.9k citations indexed

About

George Deeb is a scholar working on Pathology and Forensic Medicine, Hematology and Oncology. According to data from OpenAlex, George Deeb has authored 65 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Pathology and Forensic Medicine, 21 papers in Hematology and 17 papers in Oncology. Recurrent topics in George Deeb's work include Acute Myeloid Leukemia Research (16 papers), Lymphoma Diagnosis and Treatment (15 papers) and Chronic Lymphocytic Leukemia Research (11 papers). George Deeb is often cited by papers focused on Acute Myeloid Leukemia Research (16 papers), Lymphoma Diagnosis and Treatment (15 papers) and Chronic Lymphocytic Leukemia Research (11 papers). George Deeb collaborates with scholars based in United States, Germany and United Kingdom. George Deeb's co-authors include Myron S. Czuczman, Francisco J. Hernandez‐Ilizaliturri, Markus Schwaiger, Daniel T. Eitzman, Juergen vom Dahl, H L Kanter, Marvin M. Kirsh, Paul K. Wallace, Joy Knight and Robert C. Gaver and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

George Deeb

60 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
George Deeb United States 21 597 536 436 420 412 65 1.9k
Mustafa Beneklı Türkiye 24 1.2k 2.1× 470 0.9× 158 0.4× 623 1.5× 124 0.3× 182 2.6k
Beverly C. Handy United States 23 994 1.7× 137 0.3× 302 0.7× 374 0.9× 349 0.8× 47 1.9k
Edward N. Libby United States 22 1.1k 1.9× 294 0.5× 246 0.6× 1.1k 2.7× 281 0.7× 87 2.5k
Fadhela Bouafia France 15 668 1.1× 818 1.5× 77 0.2× 99 0.2× 236 0.6× 24 1.5k
İbrahim Barışta Türkiye 19 553 0.9× 510 1.0× 98 0.2× 109 0.3× 274 0.7× 72 1.3k
Lois Ayash United States 25 1.3k 2.1× 401 0.7× 101 0.2× 323 0.8× 107 0.3× 119 2.6k
David H. Henry United States 19 619 1.0× 358 0.7× 90 0.2× 234 0.6× 73 0.2× 49 1.7k
M. A. Burgess United States 25 1.1k 1.9× 218 0.4× 111 0.3× 451 1.1× 188 0.5× 61 2.2k
Dennis Cooper United States 27 1.1k 1.8× 670 1.3× 155 0.4× 461 1.1× 47 0.1× 112 2.8k
Mazyar Shadman United States 25 1.4k 2.3× 1.0k 1.9× 164 0.4× 318 0.8× 82 0.2× 221 2.3k

Countries citing papers authored by George Deeb

Since Specialization
Citations

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

Fields of papers citing papers by George Deeb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Deeb

This figure shows the co-authorship network connecting the top 25 collaborators of George Deeb. A scholar is included among the top collaborators of George Deeb 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 George Deeb. George Deeb 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.
Zhang, Linsheng, et al.. (2024). Measurable (Minimal) Residual Disease in Myelodysplastic Neoplasms (MDS): Current State and Perspectives. Cancers. 16(8). 1503–1503. 2 indexed citations
2.
Monaghan, Sara A., Steven Eck, Silvia T. Bunting, et al.. (2024). Flow cytometry assay modifications: Recommendations for method validation based on CLSI H62 guidelines. Cytometry Part B Clinical Cytometry. 108(3). 252–266. 3 indexed citations
3.
Norton, Elizabeth L., Linda Farhat, Xiaoting Wu, et al.. (2022). Specialization in Acute Type A Aortic Dissection Repair: The Outcomes and Challenges. Seminars in Thoracic and Cardiovascular Surgery. 35(3). 466–475. 2 indexed citations
4.
El‐Dalati, Sami, et al.. (2020). The Role of Coronary Catheterization with Angiography in Surgically Managed Infectious Endocarditis. The American Journal of Medicine. 133(9). 1101–1104. 3 indexed citations
5.
El‐Dalati, Sami, Michael J. Shea, Richard L. Weinberg, et al.. (2019). Clinical Practice Update on Infectious Endocarditis. The American Journal of Medicine. 133(1). 44–49. 14 indexed citations
6.
El‐Dalati, Sami, Nathaniel Soper, Michael J. Shea, et al.. (2019). Physician perceptions of a multidisciplinary endocarditis team. European Journal of Clinical Microbiology & Infectious Diseases. 39(4). 735–739. 12 indexed citations
7.
Hou, Tieying, Wenbin Xiao, Elaine S. Jaffe, et al.. (2017). TAFRO syndrome: A case report and review of the literature. Human Pathology Case Reports. 10. 1–4. 4 indexed citations
8.
Vachhani, Pankit, Jason H. Mendler, Andrew Evans, et al.. (2016). Spontaneous Remission in an Older Patient with RelapsedFLT3ITD Mutant AML. SHILAP Revista de lepidopterología. 2016. 1–7. 11 indexed citations
9.
Deeb, Kristin K., George Deeb, Sheila N.J. Sait, et al.. (2014). Deletion and deletion/insertion mutations in the juxtamembrane domain of the FLT3 gene in adult acute myeloid leukemia. Leukemia Research Reports. 3(2). 86–89. 8 indexed citations
10.
Vigil, Carlos E., Wei Tan, George Deeb, et al.. (2013). Phase II trial of clofarabine and daunorubicin as induction therapy for acute myeloid leukemia patients greater than or equal to 60 years of age. Leukemia Research. 37(11). 1468–1471. 4 indexed citations
11.
Gandhi, Shipra, Vishala T. Neppalli, George Deeb, Myron S. Czuczman, & Francisco J. Hernandez‐Ilizaliturri. (2013). Distinct CD30 Expression Patterns In Germinal Center B-Cell (GCB) and Non-GCB Diffuse Large B-Cell Lymphoma (DLBCL). Blood. 122(21). 5064–5064. 1 indexed citations
12.
Gruber, Thomas, Andrew J. Fabiano, George Deeb, Shashikant Lele, & Robert A. Fenstermaker. (2011). Intracranial Meningiomas in Patients with Uterine Sarcoma Treated with Long-Term Megestrol Acetate Therapy. World Neurosurgery. 76(5). 477.e16–477.e20. 14 indexed citations
13.
14.
Deeb, George, Mary M. Vaughan, Laurie Ford, et al.. (2010). Hypoxia-inducible factor-1α protein expression is associated with poor survival in normal karyotype adult acute myeloid leukemia. Leukemia Research. 35(5). 579–584. 63 indexed citations
15.
Becker, Joanne, et al.. (2008). Rituximab-based therapy for gemcitabine-induced hemolytic uremic syndrome in a patient with metastatic pancreatic adenocarcinoma: a case report. Cancer Chemotherapy and Pharmacology. 64(1). 177–181. 39 indexed citations
16.
17.
Alrawi, Sadir, George Deeb, Richard Cheney, et al.. (2004). Lipomatous hemangiopericytoma of the head and neck: immunohistochemical and dna ploidy analyses. Head & Neck. 26(6). 544–549. 12 indexed citations
18.
19.
Deeb, George, et al.. (1988). The disposition of carboplatin in the beagle dog. Cancer Chemotherapy and Pharmacology. 21(3). 197–202. 42 indexed citations
20.
Deeb, George, et al.. (1987). In vitro stability, plasma protein binding and blood cell partitioning of 14C-carboplatin. Cancer Chemotherapy and Pharmacology. 20(4). 271–6. 28 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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