Maha Torabi
Impact in
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- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
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- Liver Disease and Transplantation
Papers in
- Surgery 10
- Orthopedic Surgery and Rehabilitation 3
- Knee injuries and reconstruction techniques 3
- Total Knee Arthroplasty Outcomes 3
- Shoulder Injury and Treatment 2
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- Musculoskeletal synovial abnormalities and treatments 3
- Co-authors
- Mukesh G. Harisinghani (4 shared papers)Suzanne L. Aquino (1 shared paper)Keyanoosh Hosseinzadeh (2 shared papers)Michael P. Federle (1 shared paper)Peter F. Hahn (3 shared papers)Mansi A. Saksena (3 shared papers)Freddie H. Fu (2 shared papers)Carola F. van Eck (1 shared paper)
- Journals
- Radiographics (3 papers)American Journal of Roentgenology (2 papers)Journal of the American College of Radiology (1 paper)Sexually Transmitted Diseases (1 paper)The Journal of Knee Surgery (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Maha Torabi
14 papers receiving 503 citations
Peers
Comparison fields: 5 of 60
- Radiology, Nuclear Medicine and Imaging 109
- Hepatology 37
- Surgery 182
- Urology 23
- Pulmonary and Respiratory Medicine 92
Countries citing papers authored by Maha Torabi
This map shows the geographic impact of Maha Torabi'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 Maha Torabi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maha Torabi more than expected).
Fields of papers citing papers by Maha Torabi
This network shows the impact of papers produced by Maha Torabi. 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 Maha Torabi. The network helps show where Maha Torabi may publish in the future.
Co-authors
The 25 scholars most cited alongside Maha Torabi, 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 | Current concepts in lymph node imaging. | 2004 | 159 |
| 2 | 2005 | 79 | |
| 3 | 2008 | 78 | |
| 4 | 2004 | 71 | |
| 5 | 2012 | 49 | |
| 6 | 2019 | 25 | |
| 7 | 2007 | 21 | |
| 8 | 2014 | 10 | |
| 9 | 2013 | 6 | |
| 10 | 2016 | 4 | |
| 11 | 2019 | 4 | |
| 12 | 2020 | 2 | |
| 13 | 2017 | 1 | |
| 14 | 2016 | 1 | |
| 15 | 2005 | 0 |
About Maha Torabi
Maha Torabi is a scholar working on Surgery, Rheumatology, Pulmonary and Respiratory Medicine, Rehabilitation and Ophthalmology, having authored 15 papers that have together received 510 indexed citations. Recurring topics across this work include Orthopedic Surgery and Rehabilitation (3 papers), Knee injuries and reconstruction techniques (3 papers), Total Knee Arthroplasty Outcomes (3 papers), Musculoskeletal synovial abnormalities and treatments (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Elbow and Forearm Trauma Treatment (2 papers), Medical Imaging Techniques and Applications (2 papers) and Shoulder Injury and Treatment (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (109 citations), Hepatology (37 citations), Surgery (182 citations), Urology (23 citations) and Pulmonary and Respiratory Medicine (92 citations). Maha Torabi has collaborated with scholars based in United States and Italy. Frequent co-authors include Mukesh G. Harisinghani, Suzanne L. Aquino, Keyanoosh Hosseinzadeh, Michael P. Federle, Peter F. Hahn, Mansi A. Saksena, Freddie H. Fu, Carola F. van Eck, Paulo Araújo and Benjamin King. Their work appears in journals such as Radiographics, American Journal of Roentgenology, Journal of the American College of Radiology, Sexually Transmitted Diseases and The Journal of Knee Surgery.
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.