Imaad Mujeeb
Impact in
- Biophysics top 10%
- Cell Image Analysis Techniques
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Gene expression and cancer classification 1
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- Renal Diseases and Glomerulopathies 3
- Chronic Kidney Disease and Diabetes 1
- Co-authors
- Nasir Rajpoot (3 shared papers)David Snead (2 shared papers)D. B. A. Epstein (2 shared papers)Mohammed Akhtar (1 shared paper)Uvais Qidwai (2 shared papers)Ruqayya Awan (1 shared paper)Korsuk Sirinukunwattana (1 shared paper)Yee Wah Tsang (1 shared paper)
- Journals
- Scientific Reports (2 papers)The American Journal of Gastroenterology (1 paper)Clinical Kidney Journal (1 paper)Acta Cytologica (1 paper)Advances in Anatomic Pathology (1 paper)
- Partner nations
- QatarUnited KingdomUnited States
In The Last Decade
Imaad Mujeeb
10 papers receiving 269 citations
Peers
Comparison fields: 5 of 59
- Biophysics 28
- Radiology, Nuclear Medicine and Imaging 93
- Nephrology 29
- Artificial Intelligence 134
- Health Informatics 5
Countries citing papers authored by Imaad Mujeeb
This map shows the geographic impact of Imaad Mujeeb'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 Imaad Mujeeb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Imaad Mujeeb more than expected).
Fields of papers citing papers by Imaad Mujeeb
This network shows the impact of papers produced by Imaad Mujeeb. 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 Imaad Mujeeb. The network helps show where Imaad Mujeeb may publish in the future.
Co-authors
The 21 scholars most cited alongside Imaad Mujeeb, 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 | 2017 | 109 | |
| 2 | 2019 | 86 | |
| 3 | 2018 | 39 | |
| 4 | 1998 | 13 | |
| 5 | 2014 | 13 | |
| 6 | 2017 | 4 | |
| 7 | 2009 | 3 | |
| 8 | 2020 | 3 | |
| 9 | 2011 | 1 | |
| 10 | 2007 | 1 | |
| 11 | 2013 | 0 | |
| 12 | 2007 | 0 |
About Imaad Mujeeb
Imaad Mujeeb is a scholar working on Molecular Biology, Nephrology, Oncology, Artificial Intelligence and Endocrinology, Diabetes and Metabolism, having authored 12 papers that have together received 272 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (3 papers), Colorectal Cancer Surgical Treatments (2 papers), Colorectal Cancer Screening and Detection (2 papers), AI in cancer detection (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Genetic and rare skin diseases. (1 paper), Gene expression and cancer classification (1 paper) and Chronic Kidney Disease and Diabetes (1 paper). The work is most often cited by research in Biophysics (28 citations), Radiology, Nuclear Medicine and Imaging (93 citations), Nephrology (29 citations), Artificial Intelligence (134 citations) and Health Informatics (5 citations). Imaad Mujeeb has collaborated with scholars based in Qatar, United Kingdom and United States. Frequent co-authors include Nasir Rajpoot, David Snead, D. B. A. Epstein, Mohammed Akhtar, Uvais Qidwai, Ruqayya Awan, Korsuk Sirinukunwattana, Yee Wah Tsang, Ian A. Cree and Leonard B. Weinstock. Their work appears in journals such as Scientific Reports, The American Journal of Gastroenterology, Clinical Kidney Journal, Acta Cytologica and Advances in Anatomic Pathology.
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.