Smitha Makkat

699 citations
12 papers · 495 · h-index 10

Impact in

    • MRI in cancer diagnosis
    • Advanced MRI Techniques and Applications
    • Radiomics and Machine Learning in Medical Imaging
    • Advanced Neuroimaging Techniques and Applications
  • Neurology top 10%
    • Intracerebral and Subarachnoid Hemorrhage Research
    • Traumatic Brain Injury and Neurovascular Disturbances
    • Neurosurgical Procedures and Complications

Papers in

    • MRI in cancer diagnosis 9
    • Advanced MRI Techniques and Applications 6
    • Radiomics and Machine Learning in Medical Imaging 3
    • Advanced Neuroimaging Techniques and Applications 2
    • Neurosurgical Procedures and Complications 2

Smitha Makkat

12 papers receiving 484 citations

Peers

Smitha Makkat
Comparison fields: 5 of 61
  • Radiology, Nuclear Medicine and Imaging 252
  • Neurology 162
  • Cancer Research 45
  • Pathology and Forensic Medicine 42
  • Epidemiology 78
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Smitha Makkat relative to Sundeep M. Nayak United States Sundeep M. Nayak's profile →
Citations per field
00.5×4.5×
Sundeep M. Nayak · 1×
Citations per year

Countries citing papers authored by Smitha Makkat

Since Specialization
Citations

This map shows the geographic impact of Smitha Makkat'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 Smitha Makkat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Smitha Makkat more than expected).

Fields of papers citing papers by Smitha Makkat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Smitha Makkat. 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 Smitha Makkat. The network helps show where Smitha Makkat may publish in the future.

Co-authors

The 24 scholars most cited alongside Smitha Makkat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Smitha Makkat Line = papers co-authored together Smitha Makkat links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2001170
2 200665
3 200854
4 200150
5 200649
6 200731
7 201029
8 200221
9 200313
10 201011
11
Assessment of tumor blood flow in breast tumors with T1-dynamic contrast-enhanced MR imaging: impact of dose reduction and the use of a prebolus technique on diagnostic efficacy.
20101
12 20011

About Smitha Makkat

Smitha Makkat is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology, Epidemiology, Materials Chemistry and Cellular and Molecular Neuroscience, having authored 12 papers that have together received 495 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (9 papers), Advanced MRI Techniques and Applications (6 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Acute Ischemic Stroke Management (2 papers), Lanthanide and Transition Metal Complexes (2 papers), Neurosurgical Procedures and Complications (2 papers) and Breast Cancer Treatment Studies (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (252 citations), Neurology (162 citations), Cancer Research (45 citations), Pathology and Forensic Medicine (42 citations) and Epidemiology (78 citations). Smitha Makkat has collaborated with scholars based in Belgium, Russia and Germany. Frequent co-authors include Steven Sourbron, Robert Luypaert, Paul M. Parizel, Luc van den Hauwe, Johan Van Goethem, A. De Schepper, Tadeusz Stadnik, Johan De Mey, M Dujardin and Claire Bourgain. Their work appears in journals such as Journal of Magnetic Resonance Imaging, Physics in Medicine and Biology, European Radiology, Radiology and American Journal of Roentgenology.

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.

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