So Won Oh

1.3k citations
53 papers · 780 · h-index 15

Impact in

Papers in

So Won Oh

49 papers receiving 769 citations

Peers

So Won Oh
Comparison fields: 5 of 76
  • Radiology, Nuclear Medicine and Imaging 250
  • Pulmonary and Respiratory Medicine 297
  • Genetics 99
  • Endocrinology, Diabetes and Metabolism 101
  • Cancer Research 60
Replace Ferdinando Calabria with:
Ferdinando Calabria Italy
Bruno Kaschten Belgium
Ling-Wei Wang Taiwan
A. Bacci Italy
Aya Harada Japan
Vincenzo Cuccurullo Italy
Kotaro Higashi Japan
Seo Hee Choi South Korea
Dachun Zhao China
I. Brenot-Rossi France
So Won Oh relative to Ferdinando Calabria Italy Ferdinando Calabria's profile →
Citations per field
00.5×1.5×2.2×
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 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010134
2 2018125
3 201651
4 201649
5 201938
6 201435
7 201833
8 200926
9 201126
10 201124
11 201523
12 201321
13 201121
14 201521
15 201117
16 201310
17 201010
18 20189
19 20229
20 20237

About So Won Oh

So Won Oh is a scholar working on Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging, Surgery and Oncology, having authored 53 papers that have together received 780 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (14 papers), Prostate Cancer Treatment and Research (8 papers), Radiopharmaceutical Chemistry and Applications (8 papers), Medical Imaging and Pathology Studies (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Prostate Cancer Diagnosis and Treatment (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Neuroendocrine Tumor Research Advances (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (250 citations), Pulmonary and Respiratory Medicine (297 citations), Genetics (99 citations), Endocrinology, Diabetes and Metabolism (101 citations) and Cancer Research (60 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, Yong Hwy Kim, Se‐Hoon Lee, Hee‐Won Jung, Kee Hyun Chang, Chul‐Kee Park, Dong Soo Lee and Cheol Kwak. Their work appears in journals such as Korean Journal of Radiology, Journal of Nuclear Medicine, EJNMMI Research, Nuclear Medicine and Molecular Imaging and Molecular Imaging and Biology.

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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