Daniel Kim

6.0k citations
134 papers · 4.6k indexed · 1 hit paper · h-index 33

Impact in

Papers in

Daniel Kim

132 papers receiving 4.5k citations

Hit Papers

Combination of compressed sensing and parallel imaging for highly accelerated first‐pass cardiac perfusion MRI 2010 · 434 citations
4342010202620152020100200300400

Peers

Daniel Kim
Comparison fields: 5 of 149
  • Radiology, Nuclear Medicine and Imaging 3.0k
  • Hepatology 296
  • Health Informatics 43
  • Cardiology and Cardiovascular Medicine 703
  • Atomic and Molecular Physics, and Optics 788
Replace Shreyas Vasanawala with:
Shreyas Vasanawala United States
Ulrike Attenberger Germany
Hersh Chandarana United States
Thomas M. Grist United States
Mark L. Schiebler United States
J. Paul Finn United States
Brian A. Hargreaves United States
Thomas Foo United States
Jörg Barkhausen Germany
Frank Wacker Germany
Daniel Kim relative to Shreyas Vasanawala United States Shreyas Vasanawala's profile →
Citations per field
00.5×1.5×
Shreyas Vasanawala · 1×
Citations per year

Countries citing papers authored by Daniel Kim

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20230
3 20227
4 2020221
5 201619
6 20157
7 201428
8 2011100
9 2011250
10 2010226
11 201044
12 201010
13 201014
14 200916
15 200920
16 200814
17 200745
18 200725
19 200712
20 200698

About Daniel Kim

Daniel Kim is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Internal Medicine, Health Informatics and Pulmonary and Respiratory Medicine, having authored 134 papers that have together received 4.6k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (53 papers), Cardiac Imaging and Diagnostics (40 papers), MRI in cancer diagnosis (17 papers), Cardiovascular Function and Risk Factors (15 papers), Atomic and Subatomic Physics Research (12 papers), Radiology practices and education (11 papers), Radiation Dose and Imaging (10 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (3.0k citations), Hepatology (296 citations), Health Informatics (43 citations), Cardiology and Cardiovascular Medicine (703 citations) and Atomic and Molecular Physics, and Optics (788 citations). Daniel Kim has collaborated with scholars based in United States, Hong Kong and Germany. Frequent co-authors include Leon Axel, Daniel K. Sodickson, Ricardo Otazo, James S. Babb, Vivian S. Lee, Hersh Chandarana, Elizabeth M. Hecht, Allan S. Bracker, D. Gammon and Élodie Breton. Their work appears in journals such as Journal of Cardiovascular Magnetic Resonance, Magnetic Resonance in Medicine, American Journal of Roentgenology, Journal of the American College of Radiology and Radiology.

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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