Dae‐Woon Eom

1.5k citations
71 papers · 1.2k · h-index 21

Impact in

Papers in

Dae‐Woon Eom

69 papers receiving 1.2k citations

Peers

Dae‐Woon Eom
Comparison fields: 5 of 94
  • Gastroenterology 117
  • Pathology and Forensic Medicine 217
  • Oncology 241
  • Pharmacology 77
  • Pulmonary and Respiratory Medicine 233
Replace Aziz Karaoğlu with:
Aziz Karaoğlu Türkiye
Takehiro Fujise Japan
Kun‐Chun Chiang Taiwan
Jiasheng Mu China
Chengxue Dang China
Hsiang‐Lin Lee Taiwan
Baojin Hua China
Thorsten Pohle Germany
Lizhu Lin China
Manlio Bolla Italy
Dae‐Woon Eom relative to Aziz Karaoğlu Türkiye Aziz Karaoğlu's profile →
Citations per field
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Aziz Karaoğlu · 1×
Citations per year

Countries citing papers authored by Dae‐Woon Eom

Since Specialization
Citations

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

Fields of papers citing papers by Dae‐Woon Eom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dae‐Woon Eom. 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 Dae‐Woon Eom. The network helps show where Dae‐Woon Eom may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011105
2 201572
3 201067
4 201462
5 201460
6 201259
7 200241
8 201637
9 201736
10 201035
11 201333
12 201330
13 202029
14 201629
15 201427
16 201926
17 201226
18 200924
19 201323
20 201522

About Dae‐Woon Eom

Dae‐Woon Eom is a scholar working on Pathology and Forensic Medicine, Gastroenterology, Oncology, Surgery and Pulmonary and Respiratory Medicine, having authored 71 papers that have together received 1.2k indexed citations. Recurring topics across this work include Gastrointestinal Tumor Research and Treatment (7 papers), Ginseng Biological Effects and Applications (6 papers), Genetic factors in colorectal cancer (4 papers), Gastric Cancer Management and Outcomes (4 papers), Lymphoma Diagnosis and Treatment (4 papers), Colorectal Cancer Treatments and Studies (3 papers), Metastasis and carcinoma case studies (3 papers) and Helicobacter pylori-related gastroenterology studies (3 papers). The work is most often cited by research in Gastroenterology (117 citations), Pathology and Forensic Medicine (217 citations), Oncology (241 citations), Pharmacology (77 citations) and Pulmonary and Respiratory Medicine (233 citations). Dae‐Woon Eom has collaborated with scholars based in South Korea and United States. Frequent co-authors include Ki Sung Kang, Su‐Nam Kim, Hyuk-Jai Jang, Jungyeob Ham, Seung‐Mo Hong, Gab Jin Cheon, Noriko Yamabe, Gwi Seo Hwang, Eunsil Yu and Byeong‐Joo Noh. Their work appears in journals such as Journal of Ginseng Research, Journal of Korean Medical Science, Modern Pathology, International Journal of Gynecological Cancer and Frontiers in Immunology.

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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