Rifaquat Rahman
- Genetics top 2%
- Glioma Diagnosis and Treatment 38
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- Radiomics and Machine Learning in Medical Imaging 16
- MRI in cancer diagnosis 5
- Health Informatics top 10%
- Statistics and Probability top 5%
- Statistical Methods in Clinical Trials 13
- Cancer Research top 10%
- Cancer Genomics and Diagnostics 15
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- Brain Metastases and Treatment 13
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- Lung Cancer Research Studies 6
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- Health Systems, Economic Evaluations, Quality of Life 6
- Co-authors
- Patrick Y. WenBrian M. AlexanderDavid A. ReardonLorenzo TrippaRaymond Y. HuangSteffen VentzGeoffrey FellTimothy F. Cloughesy
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Rifaquat Rahman
55 papers receiving 987 citations
Peers
Comparison fields: 5 of 83
- Genetics 562
- Radiology, Nuclear Medicine and Imaging 333
- Health Informatics 18
- Statistics and Probability 106
- Cancer Research 178
Countries citing papers authored by Rifaquat Rahman
This map shows the geographic impact of Rifaquat Rahman'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 Rifaquat Rahman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rifaquat Rahman more than expected).
Fields of papers citing papers by Rifaquat Rahman
This network shows the impact of papers produced by Rifaquat Rahman. 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 Rifaquat Rahman. The network helps show where Rifaquat Rahman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rifaquat Rahman, 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 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 0 | |
| 9 | 2022 | 3 | |
| 10 | 2022 | 13 | |
| 11 | 2021 | 104 | |
| 12 | 2021 | 52 | |
| 13 | 2021 | 6 | |
| 14 | 2021 | 21 | |
| 15 | 2020 | 25 | |
| 16 | 2019 | 49 | |
| 17 | 2019 | 5 | |
| 18 | 2018 | 39 | |
| 19 | 2018 | 12 | |
| 20 | 2017 | 88 |
About Rifaquat Rahman
Rifaquat Rahman is a scholar working on Genetics, Statistics and Probability and Cancer Research, having authored 59 papers that have together received 1000 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (38 papers), Radiomics and Machine Learning in Medical Imaging (16 papers), Cancer Genomics and Diagnostics (15 papers), Brain Metastases and Treatment (13 papers), Statistical Methods in Clinical Trials (13 papers), Lung Cancer Research Studies (6 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers) and MRI in cancer diagnosis (5 papers). The work is most often cited by research in Genetics (562 citations), Radiology, Nuclear Medicine and Imaging (333 citations) and Health Informatics (18 citations). Rifaquat Rahman has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Patrick Y. Wen, Brian M. Alexander, David A. Reardon, Lorenzo Trippa, Raymond Y. Huang, Steffen Ventz, Geoffrey Fell, Timothy F. Cloughesy, Ken Chang and Lauren E. Abrey. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and Cancer.
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.