Dima El‐Sharkawi
Impact in
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
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- Lymphoma Diagnosis and Treatment
Papers in
- Genetics 35
- Chronic Lymphocytic Leukemia Research 29
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- Lymphoma Diagnosis and Treatment 26
- Co-authors
- Sunil Iyengar (19 shared papers)Ayoma D. Attygalle (12 shared papers)Bhupinder Sharma (18 shared papers)Graham P. Collins (11 shared papers)David C. Linch (3 shared papers)Robert K. Hills (3 shared papers)Rosemary E. Gale (3 shared papers)Alan K. Burnett (2 shared papers)
- Journals
- Blood (19 papers)British Journal of Haematology (8 papers)HemaSphere (5 papers)Hematological Oncology (4 papers)Clinical Radiology (3 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Dima El‐Sharkawi
58 papers receiving 485 citations
Peers
Comparison fields: 5 of 49
- Genetics 157
- Pathology and Forensic Medicine 199
- Hematology 107
- Cancer Research 78
- Oncology 132
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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 59 | |
| 2 | 2020 | 35 | |
| 3 | 2017 | 31 | |
| 4 | 2023 | 27 | |
| 5 | 2022 | 23 | |
| 6 | 2020 | 22 | |
| 7 | 2020 | 18 | |
| 8 | 2012 | 17 | |
| 9 | 2021 | 15 | |
| 10 | 2020 | 14 | |
| 11 | 2024 | 14 | |
| 12 | 2013 | 14 | |
| 13 | 2011 | 14 | |
| 14 | 2023 | 13 | |
| 15 | 2023 | 11 | |
| 16 | 2023 | 11 | |
| 17 | 2006 | 11 | |
| 18 | 2020 | 9 | |
| 19 | 2021 | 9 | |
| 20 | 2023 | 8 |
About Dima El‐Sharkawi
Dima El‐Sharkawi is a scholar working on Genetics, Pathology and Forensic Medicine, Oncology, Molecular Biology and Hematology, having authored 70 papers that have together received 490 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (29 papers), Lymphoma Diagnosis and Treatment (26 papers), Breast Implant and Reconstruction (9 papers), Breast Cancer Treatment Studies (8 papers), CAR-T cell therapy research (7 papers), CNS Lymphoma Diagnosis and Treatment (6 papers), Protein Degradation and Inhibitors (6 papers) and Galectins and Cancer Biology (4 papers). The work is most often cited by research in Genetics (157 citations), Pathology and Forensic Medicine (199 citations), Hematology (107 citations), Cancer Research (78 citations) and Oncology (132 citations). Dima El‐Sharkawi has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Sunil Iyengar, Ayoma D. Attygalle, Bhupinder Sharma, Graham P. Collins, David C. Linch, Robert K. Hills, Rosemary E. Gale, Alan K. Burnett, Shirley D’Sa and Christopher Allen. 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.