Donna Marciano

460 citations
6 papers · 365 indexed · h-index 4
Topics
Radiomics and Machine Learning in Medical Imaging (3 papers)Medical Imaging Techniques and Applications (3 papers)Glioma Diagnosis and Treatment (3 papers)
Partner nations
United States

In The Last Decade

Donna Marciano

6 papers receiving 354 citations

Peers

Donna Marciano
Comparison fields: 5 of 51
  • Radiology, Nuclear Medicine and Imaging 247
  • Genetics 156
  • Pulmonary and Respiratory Medicine 76
  • Surgery 57
  • Neurology 57
Replace Tomohiro Kira with:
Tomohiro Kira Japan
Swarna Krishnasamy United States
Clinton A. Medbery United States
M E Silvestre Portugal
Naruhide Kimura Japan
Mikio Mimura Japan
Kjell Watne Norway
W.T. Kearns United States
M. Yamura Japan
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Donna Marciano relative to Tomohiro Kira Japan Tomohiro Kira's profile →
Citations per field
00.5×2.9×
Tomohiro Kira · 1×
Citations per year

Countries citing papers authored by Donna Marciano

Since Specialization
Citations

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

Fields of papers citing papers by Donna Marciano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donna Marciano

This figure shows the co-authorship network connecting the top 25 collaborators of Donna Marciano. A scholar is included among the top collaborators of Donna Marciano based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Donna Marciano. Donna Marciano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1 2
2
Thallium-201 SPECT imaging of brain tumors: methods and results.
144
3 174
4 26
5
Optimum processing protocols for volume determination of the liver and spleen from SPECT imaging with technetium-99m sulfur colloid.
16
6
Lymphoscintigraphy in melanoma patients using Tc-99m dextran
3

About Donna Marciano

Donna Marciano is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Hepatology, having authored 6 papers that have together received 365 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), Medical Imaging Techniques and Applications (3 papers) and Glioma Diagnosis and Treatment (3 papers). The work is most often cited by research in Genetics (156 citations), Radiology, Nuclear Medicine and Imaging (247 citations) and Neurology (57 citations). Donna Marciano has collaborated with scholars based in United States. Frequent co-authors include Keith L. Black, Randall A. Hawkins, C A Lerner, Donald P. Becker, R A Hawkins, Scott T. Grafton, J.C. Mazziotta, Barry H. Guzé, Fernando Mut and Ronald W. Busuttil. Their work appears in journals such as Journal of neurosurgery, Seminars in Nuclear Medicine and Clinical Nuclear Medicine.

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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