Fabio Raman
Impact in
- Internal Medicine top 10%
- Venous Thromboembolism Diagnosis and Management
- Emergency Medicine top 10%
- HIV-related health complications and treatments
Papers in
-
- Cardiac Imaging and Diagnostics 7
- Advanced MRI Techniques and Applications 7
- Radiomics and Machine Learning in Medical Imaging 2
- Co-authors
- David A. BluemkeChristopher T. SibleySongtao LiuJoão A.C. LimaNeville GaiJulia PurdyColleen HadiganMelanie Freed
- Journals
- Journal of Cardiovascular Magnetic Resonance (3 papers)Cancers (1 paper)Journal of Nuclear Medicine (1 paper)Radiology (1 paper)International Journal of Cardiology (1 paper)
- Partner nations
- United StatesUnited KingdomBrazil
In The Last Decade
Fabio Raman
16 papers receiving 311 citations
Peers
Comparison fields: 5 of 58
- Internal Medicine 39
- Emergency Medicine 95
- Cardiology and Cardiovascular Medicine 158
- Radiology, Nuclear Medicine and Imaging 124
- Virology 23
Countries citing papers authored by Fabio Raman
This map shows the geographic impact of Fabio Raman'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 Fabio Raman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Raman more than expected).
Fields of papers citing papers by Fabio Raman
This network shows the impact of papers produced by Fabio Raman. 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 Fabio Raman. The network helps show where Fabio Raman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fabio Raman, 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 | 2023 | 8 | |
| 2 | 2023 | 18 | |
| 3 | 2021 | 10 | |
| 4 | 2019 | 4 | |
| 5 | BLAzER: A versatile and efficient workflow for analyzing PET/MR neuroimaging data in Alzheimer's disease | 2019 | 1 |
| 6 | 2018 | 3 | |
| 7 | 2016 | 18 | |
| 8 | 2016 | 1 | |
| 9 | 2016 | 40 | |
| 10 | 2016 | 1 | |
| 11 | 2015 | 104 | |
| 12 | 2015 | 23 | |
| 13 | 2014 | 2 | |
| 14 | 2014 | 1 | |
| 15 | 2013 | 19 | |
| 16 | 2013 | 62 |
About Fabio Raman
Fabio Raman is a scholar working on Internal Medicine, Radiology, Nuclear Medicine and Imaging, Modeling and Simulation, Genetics and Cardiology and Cardiovascular Medicine, having authored 16 papers that have together received 315 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (7 papers), Advanced MRI Techniques and Applications (7 papers), Lanthanide and Transition Metal Complexes (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Acute Ischemic Stroke Management (2 papers), Glioma Diagnosis and Treatment (2 papers), Functional Brain Connectivity Studies (2 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Internal Medicine (39 citations), Emergency Medicine (95 citations), Cardiology and Cardiovascular Medicine (158 citations), Radiology, Nuclear Medicine and Imaging (124 citations) and Virology (23 citations). Fabio Raman has collaborated with scholars based in United States, United Kingdom and Brazil. Frequent co-authors include David A. Bluemke, Christopher T. Sibley, Songtao Liu, João A.C. Lima, Neville Gai, Julia Purdy, Colleen Hadigan, Melanie Freed, Nadine Kawel‐Boehm and Jing Han. Their work appears in journals such as Journal of Cardiovascular Magnetic Resonance, Cancers, Journal of Nuclear Medicine, Radiology and International Journal of Cardiology.
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.