Youngmee Kwon

2.7k citations
78 papers · 2.1k · h-index 29

Impact in

    • Breast Cancer Treatment Studies
  • Oncology top 2%
    • HER2/EGFR in Cancer Research
    • Lung Cancer Research Studies
    • Cancer Immunotherapy and Biomarkers

Papers in

    • HER2/EGFR in Cancer Research 19
    • Cancer Treatment and Pharmacology 9
    • Breast Cancer Treatment Studies 30
    • Cancer Genomics and Diagnostics 5

Youngmee Kwon

75 papers receiving 2.0k citations

Peers

Youngmee Kwon
Comparison fields: 5 of 97
  • Cancer Research 857
  • Oncology 1.1k
  • Pathology and Forensic Medicine 586
  • Dermatology 216
  • Pulmonary and Respiratory Medicine 517
Replace Funda Meric with:
Funda Meric United States
Christine Sagan France
Marek Skacel United States
Peter C. de Bruin Netherlands
Inga‐Marie Schaefer United States
Silvana Di Palma United Kingdom
Jonathan Juco United States
Kyung‐Ja Cho South Korea
Robert C. Hickey United States
Hans-Jürgen Holzhausen Germany
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Citations per field
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Citations per year

Countries citing papers authored by Youngmee Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Youngmee Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008189
2 2010172
3 2008101
4 201296
5 201193
6 201775
7 201574
8 200671
9 200757
10 201451
11 201351
12 200648
13 200346
14 200940
15 200940
16 200439
17 201039
18 200438
19 201538
20 201938

About Youngmee Kwon

Youngmee Kwon is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Surgery, having authored 78 papers that have together received 2.1k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (30 papers), HER2/EGFR in Cancer Research (19 papers), Breast Lesions and Carcinomas (18 papers), Cancer Treatment and Pharmacology (9 papers), Breast Implant and Reconstruction (6 papers), Advanced Breast Cancer Therapies (6 papers), Cancer Genomics and Diagnostics (5 papers) and Brain Metastases and Treatment (4 papers). The work is most often cited by research in Cancer Research (857 citations), Oncology (1.1k citations), Pathology and Forensic Medicine (586 citations), Dermatology (216 citations) and Pulmonary and Respiratory Medicine (517 citations). Youngmee Kwon has collaborated with scholars based in South Korea, United States and Singapore. Frequent co-authors include Jungsil Ro, Keun Seok Lee, Byung‐Ho Nam, So‐Youn Jung, In Hae Park, Seok Won Kim, Seeyoun Lee, Kyung Hwan Shin, Han‐Sung Kang and Eun Sook Lee. Their work appears in journals such as Breast Cancer Research and Treatment, Investigational New Drugs, Clinical Breast Cancer, Annals of Surgical Oncology and Journal of Clinical 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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