K.T. Bae

2.1k citations
28 papers · 1.8k · h-index 15

Impact in

Papers in

K.T. Bae

27 papers receiving 1.7k citations

Peers

K.T. Bae
Comparison fields: 5 of 73
  • Radiology, Nuclear Medicine and Imaging 958
  • Biomedical Engineering 514
  • Genetics 241
  • Radiation 64
  • Internal Medicine 23
Replace Michael R. Bruesewitz with:
Michael R. Bruesewitz United States
Zsolt Szucs‐Farkas Switzerland
Jodie A. Christner United States
Robert G. Paden United States
Nico Buls Belgium
Holger Greeß Germany
Akitoshi Inoue United States
N. Holzknecht Germany
Juan Carlos Ramírez-Giraldo United States
Azadeh Tabari United States
K.T. Bae relative to Michael R. Bruesewitz United States Michael R. Bruesewitz's profile →
Citations per field
00.5×1.5×2×2.3×
Michael R. Bruesewitz · 1×
Citations per year

Countries citing papers authored by K.T. Bae

Since Specialization
Citations

This map shows the geographic impact of K.T. Bae'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 K.T. Bae with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K.T. Bae more than expected).

Fields of papers citing papers by K.T. Bae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.T. Bae. 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 K.T. Bae. The network helps show where K.T. Bae may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998260
2 1998227
3 1998225
4 2000211
5 2000199
6 2000121
7 201394
8 199786
9 201180
10 201147
11 201144
12 200539
13 200938
14 201234
15
Pharmacokinetic modeling of multidrug resistance P-glycoprotein transport of gamma-emitting substrates.
199722
16 201310
17 201610
18 20139
19 20189
20 20043

About K.T. Bae

K.T. Bae is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Genetics, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine, having authored 28 papers that have together received 1.8k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (7 papers), Advanced X-ray and CT Imaging (7 papers), Radiation Dose and Imaging (6 papers), Genetic and Kidney Cyst Diseases (5 papers), Medical Image Segmentation Techniques (3 papers), Cardiac Imaging and Diagnostics (2 papers), Advanced MRI Techniques and Applications (2 papers) and Drug Transport and Resistance Mechanisms (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (958 citations), Biomedical Engineering (514 citations), Genetics (241 citations), Radiation (64 citations) and Internal Medicine (23 citations). K.T. Bae has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include James A. Brink, Jay P. Heiken, Jay P. Heiken, Ge Wang, Bruce R. Whiting, Thomas G. Flohr, Bernd M. Ohnesorge, Yingjian Yu, Ewart Mark Haacke and Jeffrey J. Brown. Their work appears in journals such as Radiology, Clinical Radiology, Osteoarthritis and Cartilage, Clinical Journal of the American Society of Nephrology and Journal of Imaging Informatics in 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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