Sun Mi Moon

674 citations
26 papers · 489 · h-index 13

Impact in

  • Radiation top 5%
    • Advanced Radiotherapy Techniques
  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

    • Colorectal Cancer Surgical Treatments 13
    • Colorectal Cancer Treatments and Studies 3
    • Colorectal Cancer Screening and Detection 3
    • Colorectal and Anal Carcinomas 5

Sun Mi Moon

25 papers receiving 481 citations

Peers

Sun Mi Moon
Comparison fields: 5 of 43
  • Radiation 147
  • Hepatology 99
  • Oncology 275
  • Pulmonary and Respiratory Medicine 168
  • Surgery 218
Replace Heather Bauer with:
Heather Bauer United States
Ines Joye Belgium
Ting‐Shi Su China
F. Bonodeau France
Alyson McIntosh United States
Sea-Won Lee South Korea
Jennifer M. Fieck United States
B.A. Jereczek-Fossa Italy
Sheema Chawla United States
Yirui Zhai China
Sun Mi Moon relative to Heather Bauer United States Heather Bauer's profile →
Citations per field
00.5×
Heather Bauer · 1×
Citations per year

Countries citing papers authored by Sun Mi Moon

Since Specialization
Citations

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

Fields of papers citing papers by Sun Mi Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sun Mi Moon. 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 Sun Mi Moon. The network helps show where Sun Mi Moon may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201260
2 200957
3 201256
4 200952
5 200848
6 202132
7 201431
8 201922
9 201120
10 201619
11 200915
12 201414
13 202113
14 201112
15 20148
16 20137
17 20235
18 20195
19
Lung Metastasis of Colorectal Cancer
20064
20 20183

About Sun Mi Moon

Sun Mi Moon is a scholar working on Oncology, Surgery, Pulmonary and Respiratory Medicine, Radiation and Hepatology, having authored 26 papers that have together received 489 indexed citations. Recurring topics across this work include Colorectal Cancer Surgical Treatments (13 papers), Colorectal and Anal Carcinomas (5 papers), Advanced Radiotherapy Techniques (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Colorectal Cancer Treatments and Studies (3 papers), Lung Cancer Diagnosis and Treatment (3 papers), Colorectal Cancer Screening and Detection (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Radiation (147 citations), Hepatology (99 citations), Oncology (275 citations), Pulmonary and Respiratory Medicine (168 citations) and Surgery (218 citations). Sun Mi Moon has collaborated with scholars based in South Korea, Spain and United States. Frequent co-authors include Ui Sup Shin, Chul Koo Cho, Dae–Yong Hwang, Dong Han Lee, Mi‐Sook Kim, Young Seok Seo, Young Han Kim, Hye Jin Kang, Kwangmo Yang and Jin Kyu Kang. Their work appears in journals such as Cancer Research and Treatment, Cancers, Scientific Reports, Japanese Journal of Clinical Oncology and Annals of 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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