Eun‐Kyu Kim

2.5k citations
114 papers · 1.7k · h-index 24

Impact in

Papers in

    • Breast Cancer Treatment Studies 54
    • Cancer Genomics and Diagnostics 11
    • HER2/EGFR in Cancer Research 15

Eun‐Kyu Kim

109 papers receiving 1.7k citations

Peers

Eun‐Kyu Kim
Comparison fields: 5 of 112
  • Cancer Research 819
  • Pathology and Forensic Medicine 441
  • Oncology 637
  • Dermatology 126
  • Radiology, Nuclear Medicine and Imaging 244
Replace Jeremy Thomas with:
Jeremy Thomas United Kingdom
Grace Callagy Ireland
Angel Rodriguez United States
Denis Evoy Ireland
Woo Chul Noh South Korea
Han‐Sung Kang South Korea
Soo Youn Bae South Korea
Uma Krishnamurti United States
Marc Thill Germany
Guang‐Yu Liu China
Eun‐Kyu Kim relative to Jeremy Thomas United Kingdom Jeremy Thomas's profile →
Citations per field
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Citations per year

Countries citing papers authored by Eun‐Kyu Kim

Since Specialization
Citations

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

Fields of papers citing papers by Eun‐Kyu Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eun‐Kyu Kim. 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‐Kyu Kim. The network helps show where Eun‐Kyu Kim may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200971
2 200761
3 201160
4 201557
5 201653
6 201044
7 201344
8 201844
9 200843
10 201437
11 200837
12 200836
13 201333
14 201833
15 202232
16 201632
17 201431
18 201829
19 200928
20 201525

About Eun‐Kyu Kim

Eun‐Kyu Kim is a scholar working on Cancer Research, Oncology, Pathology and Forensic Medicine, Surgery and Molecular Biology, having authored 114 papers that have together received 1.7k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (54 papers), Breast Lesions and Carcinomas (26 papers), Breast Implant and Reconstruction (17 papers), HER2/EGFR in Cancer Research (15 papers), Reconstructive Surgery and Microvascular Techniques (12 papers), BRCA gene mutations in cancer (11 papers), Cancer Genomics and Diagnostics (11 papers) and PI3K/AKT/mTOR signaling in cancer (8 papers). The work is most often cited by research in Cancer Research (819 citations), Pathology and Forensic Medicine (441 citations), Oncology (637 citations), Dermatology (126 citations) and Radiology, Nuclear Medicine and Imaging (244 citations). Eun‐Kyu Kim has collaborated with scholars based in South Korea, Ethiopia and United States. Frequent co-authors include Woo Chul Noh, Hyun‐Ah Kim, Eunyoung Kang, Wonshik Han, So Yeon Park, So‐Youn Jung, Jong Won Lee, Hyesil Seol, In Ah Kim and Jin Kyung Lee. Their work appears in journals such as Breast Cancer Research and Treatment, Biochemical and Biophysical Research Communications, Cancer Research and Treatment, Clinical Breast Cancer and Annals of Surgical 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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