Sun Hee Kang

629 citations
31 papers · 365 · h-index 11

Impact in

    • MicroRNA in disease regulation
    • Breast Cancer Treatment Studies
    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis
    • HER2/EGFR in Cancer Research

Papers in

Sun Hee Kang

27 papers receiving 356 citations

Peers

Sun Hee Kang
Comparison fields: 5 of 65
  • Cancer Research 67
  • Oncology 108
  • Immunology 84
  • Pathology and Forensic Medicine 37
  • Food Science 35
Replace Xingxing Chai with:
Xingxing Chai China
Ji Mi Ahn South Korea
Helena Shaked United States
Yan Chang China
Samuele Cheri Italy
Tatiana Abramova United States
Fatima Domenica Elisa De Palma Italy
Boni Ding China
Tae-Su Han South Korea
Ju Ma China
Sun Hee Kang relative to Xingxing Chai China Xingxing Chai's profile →
Citations per field
00.5×12×
Xingxing Chai · 1×
Citations per year

Countries citing papers authored by Sun Hee Kang

Since Specialization
Citations

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

Fields of papers citing papers by Sun Hee Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019130
2 201343
3 201827
4 201422
5 201418
6 201616
7 201714
8 201811
9 201710
10 200410
11 200610
12 20149
13 20168
14 20158
15 20155
16 20213
17 20093
18 20103
19 20133
20 20113

About Sun Hee Kang

Sun Hee Kang is a scholar working on Molecular Biology, Oncology, Cancer Research, Surgery and Dermatology, having authored 31 papers that have together received 365 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (5 papers), HER2/EGFR in Cancer Research (4 papers), Cancer and Skin Lesions (3 papers), Breast Lesions and Carcinomas (2 papers), Food Quality and Safety Studies (2 papers), Salivary Gland Tumors Diagnosis and Treatment (2 papers), MicroRNA in disease regulation (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (67 citations), Oncology (108 citations), Immunology (84 citations), Pathology and Forensic Medicine (37 citations) and Food Science (35 citations). Sun Hee Kang has collaborated with scholars based in South Korea, United States and Nigeria. Frequent co-authors include Sun Young Kwon, Ilseon Hwang, Hyeong Chan Shin, Jihyoung Cho, Shin Kim, Young Kyung Bae, Jong‐Wook Park, Sung-Ho Son, Ji-Young Hong and Hyun‐Dong Paik. Their work appears in journals such as Cancer Research and Treatment, PLoS ONE, Histopathology, Ophthalmic Plastic and Reconstructive Surgery and LWT.

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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