Minjae Kim

1.9k citations
79 papers · 1.1k · h-index 19

Impact in

Papers in

Minjae Kim

72 papers receiving 1.1k citations

Peers

Minjae Kim
Comparison fields: 5 of 103
  • Genetics 134
  • Critical Care and Intensive Care Medicine 57
  • Radiology, Nuclear Medicine and Imaging 218
  • Infectious Diseases 155
  • Health Informatics 11
Replace Mari Hagiwara with:
Mari Hagiwara United States
J. Serratrice France
Jieying Zhang China
Bruno Laganà Italy
Michael J. Potchen United States
Yair Safriel United States
Shohei Inui Japan
Jared R. Robbins United States
Yu‐Whan Oh South Korea
Abdulhakim Çoşkun Türkiye
Minjae Kim relative to Mari Hagiwara United States Mari Hagiwara's profile →
Citations per field
00.5×3.7×
Mari Hagiwara · 1×
Citations per year

Countries citing papers authored by Minjae Kim

Since Specialization
Citations

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

Fields of papers citing papers by Minjae Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019115
2 2020100
3 201858
4 202058
5 201956
6 200452
7 201335
8 202129
9 202127
10 201726
11 202126
12 201622
13 202021
14 202121
15 202121
16 202120
17 200719
18 200218
19 202118
20 201516

About Minjae Kim

Minjae Kim is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Genetics, Infectious Diseases and Neurology, having authored 79 papers that have together received 1.1k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (8 papers), Glioma Diagnosis and Treatment (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Protein purification and stability (5 papers), MRI in cancer diagnosis (4 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers), Brain Metastases and Treatment (3 papers) and Cerebrospinal fluid and hydrocephalus (3 papers). The work is most often cited by research in Genetics (134 citations), Critical Care and Intensive Care Medicine (57 citations), Radiology, Nuclear Medicine and Imaging (218 citations), Infectious Diseases (155 citations) and Health Informatics (11 citations). Minjae Kim has collaborated with scholars based in South Korea, United States and Norway. Frequent co-authors include Ho Sung Kim, Ji Eun Park, Seo Young Park, Guohua Li, Sang Joon Kim, Jeong Hoon Kim, Chong Hyun Suh, Young‐Hoon Kim, Soo Jung Nam and Junil Kim. Their work appears in journals such as European Radiology, Korean Journal of Radiology, American Journal of Neuroradiology, Journal of Clinical Oncology and Anesthesia & Analgesia.

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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