Daniel Kim

1.2k total citations
63 papers, 751 citations indexed

About

Daniel Kim is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Daniel Kim has authored 63 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Radiology, Nuclear Medicine and Imaging, 28 papers in Cardiology and Cardiovascular Medicine and 10 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Daniel Kim's work include Advanced MRI Techniques and Applications (50 papers), Cardiac Imaging and Diagnostics (38 papers) and Atomic and Subatomic Physics Research (10 papers). Daniel Kim is often cited by papers focused on Advanced MRI Techniques and Applications (50 papers), Cardiac Imaging and Diagnostics (38 papers) and Atomic and Subatomic Physics Research (10 papers). Daniel Kim collaborates with scholars based in United States, Switzerland and Australia. Daniel Kim's co-authors include Edward DiBella, Ruth Lim, Ganesh Adluru, Daniel K. Sodickson, Monvadi B. Srichai, James Carr, Li Feng, Ricardo Otazo, Wilson King and A. Marc Harrison and has published in prestigious journals such as Journal of the American College of Cardiology, Radiology and International Journal of Molecular Sciences.

In The Last Decade

Daniel Kim

59 papers receiving 747 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Kim United States 15 641 227 145 91 56 63 751
Peter Koken Germany 18 897 1.4× 218 1.0× 160 1.1× 163 1.8× 15 0.3× 50 1.0k
Christoph Kolbitsch Germany 19 921 1.4× 122 0.5× 161 1.1× 321 3.5× 66 1.2× 91 1.1k
Tamer Basha United States 20 1.2k 1.8× 586 2.6× 214 1.5× 114 1.3× 77 1.4× 60 1.4k
Simone Coppo Switzerland 16 1.0k 1.6× 301 1.3× 256 1.8× 88 1.0× 25 0.4× 25 1.1k
Sohae Chung United States 13 488 0.8× 113 0.5× 62 0.4× 55 0.6× 6 0.1× 39 723
Alexander Ganin United States 9 742 1.2× 154 0.7× 151 1.0× 122 1.3× 11 0.2× 20 867
Arne Littmann Germany 9 516 0.8× 217 1.0× 140 1.0× 56 0.6× 26 0.5× 19 640
Peter Speier Germany 20 1.0k 1.6× 248 1.1× 200 1.4× 150 1.6× 56 1.0× 66 1.2k
Jesse Hamilton United States 18 1.1k 1.7× 167 0.7× 227 1.6× 111 1.2× 47 0.8× 53 1.2k
Davide Piccini Switzerland 22 1.4k 2.2× 567 2.5× 466 3.2× 136 1.5× 23 0.4× 85 1.6k

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 of co-authors of Daniel Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Kim. A scholar is included among the top collaborators of Daniel Kim 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 Daniel Kim. Daniel Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tavakoli, Neda, Zahra Shakeri Hossein Abad, Arash Bedayat, et al.. (2025). Generative AI and Foundation Models in Radiology: Applications, Opportunities, and Potential Challenges. Radiology. 317(2). e242961–e242961.
2.
Tavakoli, Neda, Amir Ali Rahsepar, Brandon Benefield, et al.. (2025). ScarNet: a novel foundation model for automated myocardial scar quantification from late gadolinium-enhancement images. Journal of Cardiovascular Magnetic Resonance. 27(2). 101945–101945. 1 indexed citations
3.
Pradella, Maurice, Mohammed S.M. Elbaz, Daniel Lee, et al.. (2025). A comprehensive evaluation of the left atrium using cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance. 27(1). 101852–101852. 3 indexed citations
4.
Allen, Bradley D., James Carr, Rod Passman, et al.. (2024). Ultra-rapid, Free-breathing, Real-time Cardiac Cine MRI Using GRASP Amplified with View Sharing and KWIC Filtering. Radiology Cardiothoracic Imaging. 6(1). e230107–e230107. 3 indexed citations
5.
Kim, Daniel, Daniel M. Sciubba, Lance B. Becker, et al.. (2024). Exploring Lysophosphatidylcholine as a Biomarker in Ischemic Stroke: The Plasma–Brain Disjunction. International Journal of Molecular Sciences. 25(19). 10649–10649.
6.
Kholmovski, Eugene, et al.. (2024). Novel Self-Calibrated Threshold-Free Probabilistic Fibrosis Signature Technique for 3D Late Gadolinium Enhancement MRI. IEEE Transactions on Biomedical Engineering. 72(3). 856–869. 11 indexed citations
7.
Popescu, Andrada, et al.. (2024). Wideband magnetic resonance sequencing to decrease image artifact in a child with a cardiac implantable device. HeartRhythm Case Reports. 10(4). 292–296.
8.
Liu, Sophia, Rod Passman, Daniel Kim, et al.. (2023). Comparison of Biplane Area-Length Method and 3D Volume Quantification by Using Cardiac MRI for Assessment of Left Atrial Volume in Atrial Fibrillation. Radiology Cardiothoracic Imaging. 5(2). e220133–e220133. 5 indexed citations
9.
Bhusal, Bhumi, Bach T. Nguyen, Michael C. Mongé, et al.. (2023). Modifying the trajectory of epicardial leads can substantially reduce MRI ‐induced RF heating in pediatric patients with a cardiac implantable electronic device at 1.5T. Magnetic Resonance in Medicine. 90(6). 2510–2523. 6 indexed citations
10.
Li, Mingji, et al.. (2021). Engineering a Supersecreting Strain of Escherichia coli by Directed Coevolution of the Multiprotein Tat Translocation Machinery. ACS Synthetic Biology. 10(11). 2947–2958. 9 indexed citations
11.
Allen, Bradley D., et al.. (2020). Highly Accelerated Real-Time Free-Breathing Cine CMR for Patients With a Cardiac Implantable Electronic Device. Academic Radiology. 28(12). 1779–1786. 3 indexed citations
12.
Aouad, Pascale, Kelly Jarvis, Shivraman Giri, et al.. (2020). Aortic annular dimensions by non-contrast MRI using k–t accelerated 3D cine b-SSFP in pre-procedural assessment for transcatheter aortic valve implantation: a technical feasibility study. International journal of cardiac imaging. 37(2). 651–661. 3 indexed citations
13.
Ma, Liliana, Jérôme Yerly, Davide Piccini, et al.. (2020). 5D Flow MRI: A Fully Self-gated, Free-running Framework for Cardiac and Respiratory Motion–resolved 3D Hemodynamics. Radiology Cardiothoracic Imaging. 2(6). e200219–e200219. 39 indexed citations
14.
Hanrahan, Christopher J., Michelle Mueller, Daniel Kim, et al.. (2018). Diagnostic Accuracy of Noncontrast MR Angiography Protocols at 3T for the Detection and Characterization of Lower Extremity Peripheral Arterial Disease. Journal of Vascular and Interventional Radiology. 29(11). 1585–1594.e2. 11 indexed citations
16.
Haddadin, Zaid, Vivian Lee, Lei Zhang, et al.. (2017). Comparison of Performance of Improved Serum Estimators of Glomerular Filtration Rate (GFR) to 99mTc-DTPA GFR Methods in Patients with Hepatic Cirrhosis. Journal of Nuclear Medicine Technology. 45(1). 42–49. 7 indexed citations
17.
Atanasova, Iliyana P., Ruth Lim, Hersh Chandarana, et al.. (2014). Quadruple inversion-recovery b-SSFP MRA of the abdomen: Initial clinical validation. European Journal of Radiology. 83(9). 1612–1619. 5 indexed citations
18.
Atanasova, Iliyana P., Daniel Kim, Pippa Storey, et al.. (2013). Sagittal fresh blood imaging with interleaved acquisition of systolic and diastolic data for improved robustness to motion. Magnetic Resonance in Medicine. 69(2). 321–328. 6 indexed citations
19.
Feng, Li, Monvadi B. Srichai, Ruth Lim, et al.. (2012). Highly accelerated real‐time cardiac cine MRI using kt SPARSE‐SENSE. Magnetic Resonance in Medicine. 70(1). 64–74. 175 indexed citations
20.
Kim, Daniel, Christina M. Bové, Christopher M. Kramer, & Frederick H. Epstein. (2003). Importance of k‐space trajectory in echo‐planar myocardial tagging at rest and during dobutamine stress. Magnetic Resonance in Medicine. 50(4). 813–820. 12 indexed citations

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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