Joonmi Oh

1.6k citations
32 papers · 1.3k · h-index 15

Impact in

Papers in

Joonmi Oh

31 papers receiving 1.3k citations

Peers

Joonmi Oh
Comparison fields: 5 of 95
  • Genetics 249
  • Radiology, Nuclear Medicine and Imaging 487
  • Physiology 276
  • Neurology 84
  • Biological Psychiatry 24
Replace Jun Toyohara with:
Jun Toyohara Japan
William Hallett United Kingdom
Tomoteru Yamasaki Japan
Takuya Toyonaga United States
Giulio Gambarota France
Akiko Hatori Japan
G. Carpinelli Italy
Bernd Bauer Germany
Tomasz Matys United Kingdom
Joji Yui Japan
Joonmi Oh relative to Jun Toyohara Japan Jun Toyohara's profile →
Citations per field
00.5×1.7×
Jun Toyohara · 1×
Citations per year

Countries citing papers authored by Joonmi Oh

Since Specialization
Citations

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

Fields of papers citing papers by Joonmi Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011211
2 2004156
3 2005146
4 2005123
5 2004108
6 201688
7 200476
8 201165
9 200763
10 200363
11 201453
12 201648
13 201931
14 200220
15 200417
16 19996
17 20023
18 20113
19 20133
20 20022

About Joonmi Oh

Joonmi Oh is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Molecular Biology and Pathology and Forensic Medicine, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (5 papers), Functional Brain Connectivity Studies (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Advanced MRI Techniques and Applications (4 papers), Multiple Sclerosis Research Studies (4 papers), Medical Image Segmentation Techniques (3 papers), Image and Signal Denoising Methods (3 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Genetics (249 citations), Radiology, Nuclear Medicine and Imaging (487 citations), Physiology (276 citations), Neurology (84 citations) and Biological Psychiatry (24 citations). Joonmi Oh has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Sarah J. Nelson, Daniel Pelletier, Eric Han, Joyce Suhy, William P. Dillon, Susan M. Chang, Roland G. Henry, Ying Lü, Xiaojuan Li and Andrea Pirzkall. Their work appears in journals such as Alzheimer s & Dementia, Journal of Magnetic Resonance Imaging, Alzheimer s & Dementia Translational Research & Clinical Interventions, Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring and Alzheimer Disease & Associated Disorders.

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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