Daniel C. Colvin

2.0k citations
38 papers · 1.7k · h-index 22

Impact in

Papers in

Daniel C. Colvin

38 papers receiving 1.6k citations

Peers

Daniel C. Colvin
Comparison fields: 5 of 117
  • Virology 133
  • Radiology, Nuclear Medicine and Imaging 437
  • Biomaterials 108
  • Infectious Diseases 136
  • Cellular and Molecular Neuroscience 140
Replace Catherine Grillon with:
Catherine Grillon France
Jun Huang United States
Antonella Bugatti Italy
Gregory L. Szeto United States
Hiroko Iwasaki Japan
Xue‐Zhong Ma Canada
Amanda Chan China
Marlene Modi United States
Eric L. Kaijzel Netherlands
John J. Toole United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniel C. Colvin

Since Specialization
Citations

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

Fields of papers citing papers by Daniel C. Colvin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012151
2 2010137
3 1992137
4 2013105
5 2014103
6 201688
7 201479
8 201268
9 201367
10 201263
11 201262
12 201861
13 201256
14 200854
15 201052
16 201040
17 201137
18 201034
19 201434
20 201329

About Daniel C. Colvin

Daniel C. Colvin is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Materials Chemistry, Pulmonary and Respiratory Medicine and Oncology, having authored 38 papers that have together received 1.7k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (8 papers), Advanced Neuroimaging Techniques and Applications (8 papers), Advanced MRI Techniques and Applications (8 papers), Luminescence Properties of Advanced Materials (3 papers), Nanoparticle-Based Drug Delivery (3 papers), NMR spectroscopy and applications (3 papers), Advanced Fluorescence Microscopy Techniques (2 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Virology (133 citations), Radiology, Nuclear Medicine and Imaging (437 citations), Biomaterials (108 citations), Infectious Diseases (136 citations) and Cellular and Molecular Neuroscience (140 citations). Daniel C. Colvin has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include John C. Gore, Thomas E. Yankeelov, Mark D. Does, Frank Alexis, Thomas L. Moore, Bin Qi, O. Thompson Mefford, Jeffrey N. Anker, Hongyu Chen and Junzhong Xu. Their work appears in journals such as NMR in Biomedicine, Magnetic Resonance in Medicine, Cancer Research, Magnetic Resonance Imaging and Journal of 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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