Jeeyeon Lee

1.8k citations
142 papers · 1.1k · h-index 17

Impact in

    • Breast Cancer Treatment Studies
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Surgery top 10%
    • Breast Implant and Reconstruction
    • Reconstructive Surgery and Microvascular Techniques

Papers in

    • Breast Implant and Reconstruction 36
    • Reconstructive Surgery and Microvascular Techniques 15
    • Thyroid and Parathyroid Surgery 6
    • Breast Cancer Treatment Studies 29
    • Cancer-related molecular mechanisms research 6

Jeeyeon Lee

129 papers receiving 1.1k citations

Peers

Jeeyeon Lee
Comparison fields: 5 of 83
  • Cancer Research 311
  • Surgery 348
  • Oncology 152
  • Pathology and Forensic Medicine 87
  • Health Informatics 6
Replace Shanqing Li with:
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Jeeyeon Lee relative to Shanqing Li China Shanqing Li's profile →
Citations per field
00.5×3.5×
Shanqing Li · 1×
Citations per year

Countries citing papers authored by Jeeyeon Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jeeyeon Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeeyeon Lee. 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 Jeeyeon Lee. The network helps show where Jeeyeon Lee may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 142 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022119
2 201961
3 202049
4 202138
5 201633
6 201631
7 201925
8 202025
9 201925
10 201725
11 202023
12 202123
13 202122
14 201921
15 201719
16 201918
17 201818
18 202116
19 202114
20 202013

About Jeeyeon Lee

Jeeyeon Lee is a scholar working on Surgery, Cancer Research, Oncology, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 142 papers that have together received 1.1k indexed citations. Recurring topics across this work include Breast Implant and Reconstruction (36 papers), Breast Cancer Treatment Studies (29 papers), Reconstructive Surgery and Microvascular Techniques (15 papers), Breast Lesions and Carcinomas (11 papers), Thyroid Cancer Diagnosis and Treatment (7 papers), Thyroid and Parathyroid Surgery (6 papers), Cancer-related molecular mechanisms research (6 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). The work is most often cited by research in Cancer Research (311 citations), Surgery (348 citations), Oncology (152 citations), Pathology and Forensic Medicine (87 citations) and Health Informatics (6 citations). Jeeyeon Lee has collaborated with scholars based in South Korea, United States and Switzerland. Frequent co-authors include Ho Yong Park, Jin Hyang Jung, Wan Wook Kim, Soo Jung Lee, Yee Soo Chae, Joon Seok Lee, Jae‐Hwan Jeong, Jung Dug Yang, Ji Young Park and Jung Dug Yang. Their work appears in journals such as Journal of Clinical Oncology, BMC Cancer, Aesthetic Plastic Surgery, Medicine and BMC Surgery.

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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