Daniel A. Finelli

1.1k citations
26 papers · 814 indexed · h-index 15

Daniel A. Finelli

26 papers receiving 800 citations

Peers

Daniel A. Finelli
Comparison fields: 5 of 68
  • Radiology, Nuclear Medicine and Imaging 464
  • Neurology 247
  • Cellular and Molecular Neuroscience 131
  • Neurology 48
  • Biophysics 31
Replace Stephen G. Hushek with:
Stephen G. Hushek United States
W Chew United States
B. Coene Belgium
B P Drayer United States
Andrea Righini Italy
M. Stubgaard Denmark
Duncan Q. McBride United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniel A. Finelli

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Finelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel A. Finelli. 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 Daniel A. Finelli. The network helps show where Daniel A. Finelli may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Daniel A. Finelli, 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 Daniel A. Finelli Line = papers co-authored together Daniel A. Finelli links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201225
2
MR imaging-related heating of deep brain stimulation electrodes: in vitro study.
200399
3 2002223
4 199814
5 199817
6 19971
7
Ectopic extraspinal meningioma: CT and MR appearance.
199711
8
Magnetization transfer effects on T1-weighted three-dimensional gradient-echo MR images of a phantom simulating enhancing brain lesions.
19978
9 199625
10 19958
11 199434
12 199493
13 199410
14
Deceptively normal MR in early infantile Krabbe disease.
199423
15 199339
16
Menkes kinky hair disease: characteristic MR angiographic findings.
199318
17 199224
18 199210
19 199114
20 199148

About Daniel A. Finelli

Daniel A. Finelli is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology, Orthopedics and Sports Medicine, Genetics and Biophysics, having authored 26 papers that have together received 814 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (16 papers), MRI in cancer diagnosis (5 papers), Medical Imaging Techniques and Applications (5 papers), RNA regulation and disease (3 papers), Atomic and Subatomic Physics Research (2 papers), Glioma Diagnosis and Treatment (2 papers), Neurological disorders and treatments (2 papers) and NMR spectroscopy and applications (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (464 citations), Neurology (247 citations), Cellular and Molecular Neuroscience (131 citations), Neurology (48 citations) and Biophysics (31 citations). Daniel A. Finelli has collaborated with scholars based in United States. Frequent co-authors include Gregory C. Hurst, Paul H. Stypulkowski, Ali R. Rezai, Jean A. Tkach, Greg Hrdlicka, Ashwini Sharan, J.A. Nyenhuis, Frank G. Shellock, E M Bellon and Benjamin Kaufman. Their work appears in journals such as American Journal of Neuroradiology, Radiology, Magnetic Resonance in Medicine, Journal of Magnetic Resonance Imaging and Magnetic Resonance Imaging Clinics of North America.

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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