Sunmin Park

1.6k citations
57 papers · 1.2k · h-index 15

Impact in

Papers in

    • Lung Cancer Diagnosis and Treatment 9
    • Gastric Cancer Management and Outcomes 4
    • Cholangiocarcinoma and Gallbladder Cancer Studies 7
    • Pancreatic function and diabetes 7

Sunmin Park

54 papers receiving 1.2k citations

Peers

Sunmin Park
Comparison fields: 5 of 97
  • Endocrine and Autonomic Systems 118
  • Endocrinology, Diabetes and Metabolism 249
  • Hepatology 104
  • Surgery 502
  • Physiology 150
Replace Narjes Nasiri‐Ansari with:
Narjes Nasiri‐Ansari Greece
Akio Kawakami Japan
Yan Ling China
Sarah M. Ronnebaum United States
Bardia Askari United States
Petter Vikman Sweden
Teresa A. Hopkins Canada
Céline Burcklé France
Tomokazu Matsuda Japan
Tatiyana L. Shiyanova United States
Sunmin Park relative to Narjes Nasiri‐Ansari Greece Narjes Nasiri‐Ansari's profile →
Citations per field
00.5×9.7×
Narjes Nasiri‐Ansari · 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 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004238
2 2003214
3 2005176
4 2005175
5 201084
6 202030
7 202024
8 202222
9 201218
10 201117
11 201916
12 202116
13 200416
14 202114
15 201714
16 202312
17 201211
18 200311
19 20118
20 20207

About Sunmin Park

Sunmin Park is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Hepatology, Radiology, Nuclear Medicine and Imaging and Radiation, having authored 57 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (15 papers), Lung Cancer Diagnosis and Treatment (9 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (7 papers), Pancreatic function and diabetes (7 papers), Advanced Radiotherapy Techniques (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Diabetes and associated disorders (4 papers) and Gastric Cancer Management and Outcomes (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (118 citations), Endocrinology, Diabetes and Metabolism (249 citations), Hepatology (104 citations), Surgery (502 citations) and Physiology (150 citations). Sunmin Park has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Morris F. White, Xueying Lin, X. Charlie Dong, Chai Hong Rim, Akiko Taguchi, Jake A. Kushner, Yedan Li, Fan Li, Kyle D. Copps and Xianjin Yi. Their work appears in journals such as Journal of Clinical Investigation, Medical Physics, International Journal of Radiation Biology, Cancers and Journal of Clinical Oncology.

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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