So Won Oh

1.2k citations
50 papers · 732 · h-index 15

Impact in

    • Radiopharmaceutical Chemistry and Applications
    • Medical Imaging Techniques and Applications
    • Radiomics and Machine Learning in Medical Imaging
    • MRI in cancer diagnosis
  • Genetics top 10%
    • Glioma Diagnosis and Treatment

Papers in

So Won Oh

47 papers receiving 723 citations

Peers

So Won Oh
Comparison fields: 5 of 79
  • Radiology, Nuclear Medicine and Imaging 338
  • Genetics 111
  • Pulmonary and Respiratory Medicine 314
  • Endocrinology, Diabetes and Metabolism 111
  • Cancer Research 76
Replace Ferdinando Calabria with:
Ferdinando Calabria Italy
Corrado Cittanti Italy
Aya Harada Japan
Birgit Meller Germany
Seo Hee Choi South Korea
Bruno Kaschten Belgium
Kiyohisa Kamimura Japan
Mary Frances McAleer United States
R. Komaki United States
A. Bacci Italy
So Won Oh relative to Ferdinando Calabria Italy Ferdinando Calabria's profile →
Citations per field
00.5×1.5×2.4×
Ferdinando Calabria · 1×
Citations per year

Countries citing papers authored by So Won Oh

Since Specialization
Citations

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

Fields of papers citing papers by So Won Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010125
2 2018118
3 201651
4 201646
5 201938
6 201432
7 201832
8 201126
9 201123
10 200923
11 201521
12 201320
13 201119
14 201517
15 201117
16 201010
17 20229
18 20188
19 20138
20 20237

About So Won Oh

So Won Oh is a scholar working on Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine, Surgery and Oncology, having authored 50 papers that have together received 732 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (16 papers), Prostate Cancer Treatment and Research (7 papers), Radiopharmaceutical Chemistry and Applications (7 papers), Medical Imaging Techniques and Applications (6 papers), Radiation Dose and Imaging (5 papers), Medical Imaging and Pathology Studies (4 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (338 citations), Genetics (111 citations), Pulmonary and Respiratory Medicine (314 citations), Endocrinology, Diabetes and Metabolism (111 citations) and Cancer Research (76 citations). So Won Oh has collaborated with scholars based in South Korea, Ethiopia and United States. Frequent co-authors include Keon Wook Kang, Gi Jeong Cheon, Hyewon Youn, Chul‐Kee Park, Yong Hwy Kim, Cheol Kwak, Kee Hyun Chang, Hee‐Won Jung, Martin Bakht and Se‐Hoon Lee. Their work appears in journals such as Korean Journal of Radiology, Journal of Nuclear Medicine, EJNMMI Research, Nuclear Medicine and Molecular Imaging and PLoS ONE.

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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