Merdol Ibrahim
Impact in
- Cancer Research top 10%
- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
- Oncology top 5%
- HER2/EGFR in Cancer Research
Papers in
- Oncology 14
- HER2/EGFR in Cancer Research 14
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- Monoclonal and Polyclonal Antibodies Research 9
- Radiomics and Machine Learning in Medical Imaging 3
- Co-authors
- John M.S. Bartlett (7 shared papers)Ian O. Ellis (6 shared papers)Jane Starczynski (6 shared papers)Sarah E. Pinder (3 shared papers)Keith Miller (10 shared papers)Andrew H.S. Lee (1 shared paper)P J Carder (1 shared paper)Andrew M. Hanby (1 shared paper)
- Journals
- Applied immunohistochemistry & molecular morphology (7 papers)American Journal of Clinical Pathology (4 papers)Journal of Clinical Pathology (3 papers)Journal of Thoracic Oncology (1 paper)Histopathology (1 paper)
- Partner nations
- United KingdomCanadaAustralia
In The Last Decade
Merdol Ibrahim
19 papers receiving 719 citations
Peers
Comparison fields: 5 of 70
- Cancer Research 275
- Oncology 469
- Radiology, Nuclear Medicine and Imaging 262
- Biophysics 32
- Pathology and Forensic Medicine 86
Countries citing papers authored by Merdol Ibrahim
This map shows the geographic impact of Merdol Ibrahim'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 Merdol Ibrahim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Merdol Ibrahim more than expected).
Fields of papers citing papers by Merdol Ibrahim
This network shows the impact of papers produced by Merdol Ibrahim. 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 Merdol Ibrahim. The network helps show where Merdol Ibrahim may publish in the future.
Co-authors
The 25 scholars most cited alongside Merdol Ibrahim, 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 | 2014 | 194 | |
| 2 | 2014 | 70 | |
| 3 | 2014 | 66 | |
| 4 | 2011 | 56 | |
| 5 | 2018 | 41 | |
| 6 | 2017 | 36 | |
| 7 | 2010 | 32 | |
| 8 | 2006 | 32 | |
| 9 | 2016 | 30 | |
| 10 | 2009 | 30 | |
| 11 | 2008 | 29 | |
| 12 | 2017 | 28 | |
| 13 | 2016 | 27 | |
| 14 | 2008 | 21 | |
| 15 | 2016 | 18 | |
| 16 | 2010 | 8 | |
| 17 | 2007 | 8 | |
| 18 | Standardization of Positive Controls in Diagnostic Immunohistochemistry:Recommendations From the International Ad Hoc Expert Committee | 2015 | 6 |
| 19 | 2009 | 3 |
About Merdol Ibrahim
Merdol Ibrahim is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Cancer Research and Artificial Intelligence, having authored 19 papers that have together received 735 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (14 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Cancer Genomics and Diagnostics (4 papers), Breast Cancer Treatment Studies (4 papers), AI in cancer detection (4 papers), Molecular Biology Techniques and Applications (4 papers), Lymphoma Diagnosis and Treatment (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Cancer Research (275 citations), Oncology (469 citations), Radiology, Nuclear Medicine and Imaging (262 citations), Biophysics (32 citations) and Pathology and Forensic Medicine (86 citations). Merdol Ibrahim has collaborated with scholars based in United Kingdom, Canada and Australia. Frequent co-authors include John M.S. Bartlett, Ian O. Ellis, Jane Starczynski, Sarah E. Pinder, Keith Miller, Andrew H.S. Lee, P J Carder, Andrew M. Hanby, Emad A. Rakha and Elena Provenzano. Their work appears in journals such as Applied immunohistochemistry & molecular morphology, American Journal of Clinical Pathology, Journal of Clinical Pathology, Journal of Thoracic Oncology and Histopathology.
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.