Steve Sungwon Cho

2.1k citations
78 papers · 1.7k · h-index 20

Impact in

Papers in

Steve Sungwon Cho

72 papers receiving 1.6k citations

Peers

Steve Sungwon Cho
Comparison fields: 5 of 59
  • Radiology, Nuclear Medicine and Imaging 575
  • Transplantation 60
  • Genetics 106
  • Pathology and Forensic Medicine 112
  • Endocrinology, Diabetes and Metabolism 64
Replace Patrick Wunderbaldinger with:
Patrick Wunderbaldinger Austria
Colette Deminière France
Keitaro Sofue Japan
Frederick Kelcz United States
Daniel Putzer Austria
Bennett B. Chin United States
Michael Mitterberger Austria
Natale Quartuccio Italy
JUDITH L. CHEZMAR United States
Francis Papay United States
Steve Sungwon Cho relative to Patrick Wunderbaldinger Austria Patrick Wunderbaldinger's profile →
Citations per field
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Citations per year

Countries citing papers authored by Steve Sungwon Cho

Since Specialization
Citations

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

Fields of papers citing papers by Steve Sungwon Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steve Sungwon Cho. 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 Steve Sungwon Cho. The network helps show where Steve Sungwon Cho may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018202
2 2013186
3 2022114
4 201999
5 201790
6 202186
7 198785
8 201755
9 201950
10 201848
11 201745
12 201741
13 201940
14 201929
15 201828
16 201927
17 202126
18 201725
19 201024
20 201823

About Steve Sungwon Cho

Steve Sungwon Cho is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine and Neurology, having authored 78 papers that have together received 1.7k indexed citations. Recurring topics across this work include Optical Imaging and Spectroscopy Techniques (16 papers), Lymphoma Diagnosis and Treatment (6 papers), Pituitary Gland Disorders and Treatments (4 papers), Radiopharmaceutical Chemistry and Applications (3 papers), Spine and Intervertebral Disc Pathology (3 papers), Medical Imaging Techniques and Applications (3 papers), Meningioma and schwannoma management (2 papers) and Neonatal Respiratory Health Research (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (575 citations), Transplantation (60 citations), Genetics (106 citations), Pathology and Forensic Medicine (112 citations) and Endocrinology, Diabetes and Metabolism (64 citations). Steve Sungwon Cho has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include John Y. K. Lee, Ryan D. Salinas, Sunil Kumar Singhal, Ryan D. Zeh, Clare W. Teng, Alan B. McMillan, Richard L. Wahl, Martin A. Lodge, Vladimir Panin and Yun Zhou. Their work appears in journals such as Journal of Nuclear Medicine, World Neurosurgery, Molecular Imaging and Biology, Operative Neurosurgery and Journal of neurosurgery.

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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