Daniel Kent

1.1k citations
26 papers · 850 · h-index 14

Impact in

Papers in

Daniel Kent

24 papers receiving 802 citations

Peers

Daniel Kent
Comparison fields: 5 of 111
  • Pathology and Forensic Medicine 240
  • Statistics, Probability and Uncertainty 80
  • Pharmacology 166
  • Health Information Management 41
  • Internal Medicine 33
Replace Jason M. Davies with:
Jason M. Davies United States
William F. Bria United States
Philip C. Adams United Kingdom
Cihan Çevik United States
Robert H. Tuttle United States
D. E. Caughey New Zealand
Romin Pajouheshnia Netherlands
James Welker United States
G. Craig Wood United States
Ian G. McDonald Australia
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Kent

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Kent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992162
2 1994115
3 198887
4 199272
5 199458
6 199446
7 199441
8 198538
9 199335
10 198831
11 199131
12 199229
13 199323
14 198917
15 198812
16 199111
17
MR contrast media in neuroimaging: a critical review of the literature.
199910
18 19908
19 19897
20 19946

About Daniel Kent

Daniel Kent is a scholar working on Radiology, Nuclear Medicine and Imaging, Economics and Econometrics, Surgery, Biomedical Engineering and Pathology and Forensic Medicine, having authored 26 papers that have together received 850 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (6 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers), Medical Imaging and Analysis (4 papers), Spine and Intervertebral Disc Pathology (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Bladder and Urothelial Cancer Treatments (2 papers), Healthcare Policy and Management (2 papers) and Radiology practices and education (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (240 citations), Statistics, Probability and Uncertainty (80 citations), Pharmacology (166 citations), Health Information Management (41 citations) and Internal Medicine (33 citations). Daniel Kent has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Eric B. Larson, Richard A. Deyo, David R. Haynor, Stephan D. Fihn, Richard M. Hoffman, Mary B. McDonell, Jorja G. Henikoff, Joel Tsevat, Jodie K. Haselkorn and Mark S. Roberts. Their work appears in journals such as Medical Decision Making, Annals of Internal Medicine, Investigative Radiology, Medical Care and Spine.

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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