George Deeb
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 11
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- Lymphoma Diagnosis and Treatment 15
- Hematology top 5%
- Acute Myeloid Leukemia Research 16
- Oncology top 5%
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- Monoclonal and Polyclonal Antibodies Research 7
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- Acute Lymphoblastic Leukemia research 8
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- Infective Endocarditis Diagnosis and Management 8
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- Cardiac Valve Diseases and Treatments 6
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- Antimicrobial Resistance in Staphylococcus 4
- Co-authors
- Francisco J. Hernandez‐IlizaliturriMyron S. CzuczmanMarkus SchwaigerH L KanterJuergen vom DahlMarvin M. KirshDaniel T. EitzmanPaul K. Wallace
- Journals
- Blood (8 papers)Cancer Chemotherapy and Pharmacology (7 papers)British Journal of Haematology (4 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
George Deeb
60 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 95
- Genetics 335
- Pathology and Forensic Medicine 536
- Hematology 324
- Oncology 597
- Radiology, Nuclear Medicine and Imaging 436
Countries citing papers authored by George Deeb
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
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
The 25 scholars most cited alongside George Deeb, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2024 | 2 | |
| 3 | 2022 | 2 | |
| 4 | 2020 | 3 | |
| 5 | 2019 | 14 | |
| 6 | 2019 | 12 | |
| 7 | 2017 | 4 | |
| 8 | 2017 | 5 | |
| 9 | 2015 | 10 | |
| 10 | 2014 | 8 | |
| 11 | 2010 | 29 | |
| 12 | 2010 | 11 | |
| 13 | 2008 | 39 | |
| 14 | 2007 | 28 | |
| 15 | 2005 | 13 | |
| 16 | 2004 | 62 | |
| 17 | 2004 | 22 | |
| 18 | 2004 | 12 | |
| 19 | 1992 | 375 | |
| 20 | 1988 | 42 |
About George Deeb
George Deeb is a scholar working on Hematology, Pathology and Forensic Medicine, Genetics, Oncology and Cardiology and Cardiovascular Medicine, having authored 65 papers that have together received 1.9k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (16 papers), Lymphoma Diagnosis and Treatment (15 papers), Chronic Lymphocytic Leukemia Research (11 papers), Acute Lymphoblastic Leukemia research (8 papers), Infective Endocarditis Diagnosis and Management (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Cardiac Valve Diseases and Treatments (6 papers) and Antimicrobial Resistance in Staphylococcus (4 papers). The work is most often cited by research in Genetics (335 citations), Pathology and Forensic Medicine (536 citations), Hematology (324 citations), Oncology (597 citations) and Radiology, Nuclear Medicine and Imaging (436 citations). George Deeb has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Francisco J. Hernandez‐Ilizaliturri, Myron S. Czuczman, Markus Schwaiger, H L Kanter, Juergen vom Dahl, Marvin M. Kirsh, Daniel T. Eitzman, Paul K. Wallace, Joy Knight and Robert C. Gaver. Their work appears in journals such as Blood, Cancer Chemotherapy and Pharmacology, British Journal of Haematology, American Journal of Clinical Pathology and Cytometry Part B Clinical Cytometry.
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.