John Kang

56 papers receiving 1.1k citations

Peers

John Kang
Comparison fields: 5 of 101
  • Health Informatics 68
  • Radiation 65
  • Radiology, Nuclear Medicine and Imaging 98
  • Biochemistry 31
  • Molecular Biology 269
Replace Nicolas Barry Delongchamps with:
Nicolas Barry Delongchamps France
Christian Freudlsperger Germany
Mihai Dorin Vartolomei Romania
Darby J. S. Thompson United States
Yun He China
Jacob New United States
Jessica C. Sieren United States
Erik Bastiaan Cornel Netherlands
Yasunari Miyagi Japan
Matt Kelly United Kingdom
John Kang relative to Nicolas Barry Delongchamps France Nicolas Barry Delongchamps's profile →
Citations per field
00.5×2×3×3.8×
Nicolas Barry Delongchamps · 1×
Citations per year

Countries citing papers authored by John Kang

Since Specialization
Citations

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

Fields of papers citing papers by John Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015159
2
Dysregulation of annexin I protein expression in high-grade prostatic intraepithelial neoplasia and prostate cancer.
2002106
3 199582
4 199463
5 201857
6 200146
7 202142
8 201239
9 202239
10 201535
11 201134
12 202329
13 199928
14 198825
15 199524
16 201524
17 201423
18 201922
19 199919
20 199618

About John Kang

John Kang is a scholar working on Health Informatics, Radiation, Cell Biology, Health Information Management and Pulmonary and Respiratory Medicine, having authored 63 papers that have together received 1.1k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (6 papers), Advanced Radiotherapy Techniques (6 papers), Cellular Mechanics and Interactions (5 papers), Prostate Cancer Diagnosis and Treatment (4 papers), Machine Learning in Healthcare (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Statistical Methods and Bayesian Inference (2 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Health Informatics (68 citations), Radiation (65 citations), Radiology, Nuclear Medicine and Imaging (98 citations), Biochemistry (31 citations) and Molecular Biology (269 citations). John Kang has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Russell S. Schwartz, Sushil Beriwal, John C. Flíckinger, Michael J. Holland, David K. Ornstein, Jeffrey A. Ranish, David Auble, James Lloyd Mohler, Steven Hahn and Susan J. Maygarden. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Radiotherapy and Oncology, JCO Clinical Cancer Informatics, Biophysical Journal and Journal of Biological Chemistry.

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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