Eun Mi Song

1.6k citations
76 papers · 1.1k · h-index 20

Impact in

Papers in

    • Inflammatory Bowel Disease 25
    • Mesenchymal stem cell research 5
    • Microscopic Colitis 8
    • Cytomegalovirus and herpesvirus research 3

Eun Mi Song

71 papers receiving 1.1k citations

Peers

Eun Mi Song
Comparison fields: 5 of 105
  • Gastroenterology 109
  • Genetics 317
  • Oncology 183
  • Surgery 231
  • Epidemiology 174
Replace Yoichi Kakuta with:
Yoichi Kakuta Japan
Sakiko Hiraoka Japan
Răzvan Iacob Romania
Mariko Negi Japan
Young Woon Chang South Korea
Sunil Dolwani United Kingdom
Yasuhiro Mamada Japan
Geoffrey W. Gardiner Canada
Yoshihiro Sasaki Japan
Bita V. Naini United States
Eun Mi Song relative to Yoichi Kakuta Japan Yoichi Kakuta's profile →
Citations per field
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Citations per year

Countries citing papers authored by Eun Mi Song

Since Specialization
Citations

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

Fields of papers citing papers by Eun Mi Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202083
2 202083
3 201661
4 201256
5 201750
6 201846
7 201841
8 201840
9 201740
10 202237
11 201735
12 201927
13 201327
14 202127
15 201027
16 201725
17 201724
18 202021
19 201921
20 201720

About Eun Mi Song

Eun Mi Song is a scholar working on Genetics, Epidemiology, Pulmonary and Respiratory Medicine, Surgery and Oncology, having authored 76 papers that have together received 1.1k indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (25 papers), Gastric Cancer Management and Outcomes (10 papers), Microscopic Colitis (8 papers), Mesenchymal stem cell research (5 papers), Colorectal Cancer Screening and Detection (5 papers), Gastrointestinal disorders and treatments (3 papers), Inflammatory mediators and NSAID effects (3 papers) and Cytomegalovirus and herpesvirus research (3 papers). The work is most often cited by research in Gastroenterology (109 citations), Genetics (317 citations), Oncology (183 citations), Surgery (231 citations) and Epidemiology (174 citations). Eun Mi Song has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Dong‐Hoon Yang, Suk‐Kyun Yang, Byong Duk Ye, Sung Wook Hwang, Sang Hyoung Park, Jeong‐Sik Byeon, Hyeyoung Kim, Hye‐Kyung Jung, Jeong‐Sik Byeon and Seung‐Jae Myung. Their work appears in journals such as Journal of Gastroenterology and Hepatology, Journal of Crohn s and Colitis, Intestinal Research, Digestive Diseases and Sciences and Scientific Reports.

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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