Sunmin Park

1.6k citations
51 papers · 1.2k · h-index 14

Impact in

Papers in

Sunmin Park

49 papers receiving 1.1k citations

Peers

Sunmin Park
Comparison fields: 5 of 96
  • Endocrine and Autonomic Systems 127
  • Endocrinology, Diabetes and Metabolism 263
  • Hepatology 98
  • Surgery 524
  • Physiology 177
Replace Tomomi Kitamuro with:
Tomomi Kitamuro Japan
Shanaka Stanislaus United States
Staffan Ekberg Sweden
Petter J Vikman Sweden
Joana Visa Spain
Joyce F. Haskell United States
Tomokazu Matsuda Japan
Atul R. Chopra United States
Tatiyana L. Shiyanova United States
Rohit Kulkarni United States
Sunmin Park relative to Tomomi Kitamuro Japan Tomomi Kitamuro's profile →
Citations per field
00.5×5×10.8×
Tomomi Kitamuro · 1×
Citations per year

Countries citing papers authored by Sunmin Park

Since Specialization
Citations

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

Fields of papers citing papers by Sunmin Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004260
2 2003230
3 2005186
4 2005184
5 202029
6 202025
7 202222
8 201219
9 201118
10 200416
11 202116
12 202115
13 201915
14 201714
15 202312
16 201211
17 200311
18 20209
19 20218
20 20118

About Sunmin Park

Sunmin Park is a scholar working on Hepatology, Pulmonary and Respiratory Medicine, Radiation, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 51 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (13 papers), Pancreatic function and diabetes (7 papers), Advanced Radiotherapy Techniques (7 papers), Lung Cancer Diagnosis and Treatment (7 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers), Diabetes and associated disorders (4 papers), Radiation Therapy and Dosimetry (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (127 citations), Endocrinology, Diabetes and Metabolism (263 citations), Hepatology (98 citations), Surgery (524 citations) and Physiology (177 citations). Sunmin Park has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Morris F. White, Xueying Lin, Xiaocheng Charlie Dong, Akiko Taguchi, Jake A. Kushner, Yedan Li, Chai Hong Rim, Fan Li, Xianjin Yi and Kyle D. Copps. Their work appears in journals such as Journal of Clinical Investigation, Medical Physics, International Journal of Radiation Biology, Cancers and International Journal of Radiation Oncology*Biology*Physics.

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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