Mahmood Ayub
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Oncology top 10%
- Cancer Cells and Metastasis
- Lung Cancer Research Studies
- Pancreatic and Hepatic Oncology Research
Papers in
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- Cancer Genomics and Diagnostics 13
- Cancer, Lipids, and Metabolism 1
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- Gene expression and cancer classification 1
- Co-authors
- Caroline Dive (15 shared papers)Dominic G. Rothwell (14 shared papers)Ged Brady (9 shared papers)Fiona Blackhall (6 shared papers)Crispin Miller (9 shared papers)Nigel Smith (6 shared papers)Sumitra Mohan (6 shared papers)Louise Carter (4 shared papers)
- Journals
- Molecular Oncology (2 papers)Bioinformatics (2 papers)Journal of Thoracic Oncology (2 papers)Annals of Oncology (2 papers)Cancer Research (2 papers)
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
Mahmood Ayub
19 papers receiving 451 citations
Peers
Comparison fields: 5 of 65
- Cancer Research 234
- Oncology 211
- Pulmonary and Respiratory Medicine 84
- Molecular Biology 138
- Pathology and Forensic Medicine 30
Countries citing papers authored by Mahmood Ayub
This map shows the geographic impact of Mahmood Ayub'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 Mahmood Ayub with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mahmood Ayub more than expected).
Fields of papers citing papers by Mahmood Ayub
This network shows the impact of papers produced by Mahmood Ayub. 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 Mahmood Ayub. The network helps show where Mahmood Ayub may publish in the future.
Co-authors
The 25 scholars most cited alongside Mahmood Ayub, 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 | 2015 | 79 | |
| 2 | 2015 | 61 | |
| 3 | 2019 | 57 | |
| 4 | 2013 | 54 | |
| 5 | 2016 | 46 | |
| 6 | 2019 | 45 | |
| 7 | 2006 | 24 | |
| 8 | 2017 | 21 | |
| 9 | 2015 | 18 | |
| 10 | 2014 | 17 | |
| 11 | 1990 | 15 | |
| 12 | 2018 | 7 | |
| 13 | 2016 | 4 | |
| 14 | 2017 | 3 | |
| 15 | 2018 | 2 | |
| 16 | 2018 | 1 | |
| 17 | 2017 | 1 | |
| 18 | 2018 | 1 | |
| 19 | 2016 | 1 |
About Mahmood Ayub
Mahmood Ayub is a scholar working on Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 19 papers that have together received 457 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (13 papers), Lung Cancer Treatments and Mutations (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Gene expression and cancer classification (1 paper), Microfluidic and Bio-sensing Technologies (1 paper) and Cancer, Lipids, and Metabolism (1 paper). The work is most often cited by research in Cancer Research (234 citations), Oncology (211 citations), Pulmonary and Respiratory Medicine (84 citations), Molecular Biology (138 citations) and Pathology and Forensic Medicine (30 citations). Mahmood Ayub has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Caroline Dive, Dominic G. Rothwell, Ged Brady, Fiona Blackhall, Crispin Miller, Nigel Smith, Sumitra Mohan, Louise Carter, Jenny Antonello and Hui Sun Leong. Their work appears in journals such as Molecular Oncology, Bioinformatics, Journal of Thoracic Oncology, Annals of Oncology and Cancer Research.
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.