Smitha Makkat

705 citations
12 papers · 563 · h-index 10

Impact in

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

Papers in

Smitha Makkat

12 papers receiving 537 citations

Peers

Smitha Makkat
Comparison fields: 5 of 64
  • Neurology 174
  • Radiology, Nuclear Medicine and Imaging 226
  • Internal Medicine 10
  • Cancer Research 37
  • Epidemiology 72
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Avi Mazumdar United States
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Hirofumi Fukuoka Japan
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Citations per field
00.5×2×2.8×
Avi Mazumdar · 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 2001195
2 200168
3 200668
4 200660
5 200855
6 200733
7 201029
8 200222
9 200316
10 201012
11 20014
12
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

About Smitha Makkat

Smitha Makkat is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology, Ophthalmology, Mathematical Physics and Epidemiology, having authored 12 papers that have together received 563 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (9 papers), Advanced MRI Techniques and Applications (3 papers), Acute Ischemic Stroke Management (2 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Child Abuse and Related Trauma (1 paper), Intracerebral and Subarachnoid Hemorrhage Research (1 paper), Traumatic Ocular and Foreign Body Injuries (1 paper) and Lanthanide and Transition Metal Complexes (1 paper). The work is most often cited by research in Neurology (174 citations), Radiology, Nuclear Medicine and Imaging (226 citations), Internal Medicine (10 citations), Cancer Research (37 citations) and Epidemiology (72 citations). Smitha Makkat has collaborated with scholars based in Belgium, Germany and United Kingdom. Frequent co-authors include Paul Maria Parizel, Robert Luypaert, Steven P. Sourbron, Johan W. Van Goethem, Luc van den Hauwe, Arthur de Schepper, Tadeusz W. Stadnik, Johan De Mey, Claire Bourgain and M Dujardin. Their work appears in journals such as Journal of Magnetic Resonance Imaging, Physics in Medicine and Biology, European Radiology, Intensive Care Medicine and Journal of Stroke and Cerebrovascular Diseases.

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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