Dima El‐Sharkawi
Impact in
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment
Papers in
- Genetics 34
- Chronic Lymphocytic Leukemia Research 27
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- Lymphoma Diagnosis and Treatment 25
- Co-authors
- Sunil Iyengar (17 shared papers)Bhupinder Sharma (18 shared papers)Graham P. Collins (10 shared papers)Ayoma D. Attygalle (12 shared papers)Robert K. Hills (3 shared papers)David C. Linch (3 shared papers)Rosemary E. Gale (3 shared papers)Alan K. Burnett (2 shared papers)
- Journals
- Blood (15 papers)British Journal of Haematology (8 papers)HemaSphere (5 papers)Hematological Oncology (4 papers)Clinical Radiology (3 papers)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Dima El‐Sharkawi
56 papers receiving 462 citations
Peers
Comparison fields: 5 of 52
- Genetics 158
- Pathology and Forensic Medicine 216
- Hematology 122
- Cancer Research 83
- Oncology 140
Countries citing papers authored by Dima El‐Sharkawi
This map shows the geographic impact of Dima El‐Sharkawi'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 Dima El‐Sharkawi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dima El‐Sharkawi more than expected).
Fields of papers citing papers by Dima El‐Sharkawi
This network shows the impact of papers produced by Dima El‐Sharkawi. 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 Dima El‐Sharkawi. The network helps show where Dima El‐Sharkawi may publish in the future.
Co-authors
The 25 scholars most cited alongside Dima El‐Sharkawi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 59 | |
| 2 | 2020 | 32 | |
| 3 | 2017 | 31 | |
| 4 | 2023 | 23 | |
| 5 | 2022 | 22 | |
| 6 | 2020 | 21 | |
| 7 | 2021 | 17 | |
| 8 | 2012 | 17 | |
| 9 | 2020 | 17 | |
| 10 | 2013 | 14 | |
| 11 | 2011 | 14 | |
| 12 | 2024 | 13 | |
| 13 | 2020 | 13 | |
| 14 | 2006 | 11 | |
| 15 | 2023 | 10 | |
| 16 | 2023 | 10 | |
| 17 | 2020 | 9 | |
| 18 | 2021 | 9 | |
| 19 | 2023 | 9 | |
| 20 | 2017 | 8 |
About Dima El‐Sharkawi
Dima El‐Sharkawi is a scholar working on Genetics, Pathology and Forensic Medicine, Oncology, Molecular Biology and Surgery, having authored 64 papers that have together received 467 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (27 papers), Lymphoma Diagnosis and Treatment (25 papers), Breast Cancer Treatment Studies (9 papers), Breast Implant and Reconstruction (9 papers), CAR-T cell therapy research (7 papers), Protein Degradation and Inhibitors (6 papers), CNS Lymphoma Diagnosis and Treatment (6 papers) and Galectins and Cancer Biology (4 papers). The work is most often cited by research in Genetics (158 citations), Pathology and Forensic Medicine (216 citations), Hematology (122 citations), Cancer Research (83 citations) and Oncology (140 citations). Dima El‐Sharkawi has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Sunil Iyengar, Bhupinder Sharma, Graham P. Collins, Ayoma D. Attygalle, Robert K. Hills, David C. Linch, Rosemary E. Gale, Alan K. Burnett, Claire Dearden and Shirley D’Sa. Their work appears in journals such as Blood, British Journal of Haematology, HemaSphere, Hematological Oncology and Clinical Radiology.
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.