Jun Won Kim

5.5k total citations · 1 hit paper
138 papers, 3.1k citations indexed

About

Jun Won Kim is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Oncology. According to data from OpenAlex, Jun Won Kim has authored 138 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Pulmonary and Respiratory Medicine, 37 papers in Surgery and 28 papers in Oncology. Recurrent topics in Jun Won Kim's work include Advanced Radiotherapy Techniques (27 papers), Hepatocellular Carcinoma Treatment and Prognosis (17 papers) and Brain Metastases and Treatment (14 papers). Jun Won Kim is often cited by papers focused on Advanced Radiotherapy Techniques (27 papers), Hepatocellular Carcinoma Treatment and Prognosis (17 papers) and Brain Metastases and Treatment (14 papers). Jun Won Kim collaborates with scholars based in South Korea, United States and Japan. Jun Won Kim's co-authors include Joo-Yeon Lee, Dong-Wan Kim, V. Narry Kim, Jeong-Sun Yang, Hyeshik Chang, Ik Jae Lee, Ki Chang Keum, Yeona Cho, Jinsil Seong and Chang Geol Lee and has published in prestigious journals such as Cell, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Jun Won Kim

132 papers receiving 3.1k citations

Hit Papers

The Architecture of SARS-CoV-2 Transcriptome 2020 2026 2022 2024 2020 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jun Won Kim South Korea 25 999 781 499 489 438 138 3.1k
Reid F. Thompson United States 30 331 0.3× 1.4k 1.7× 463 0.9× 196 0.4× 497 1.1× 72 2.9k
Michael Bitzer Germany 43 472 0.5× 1.5k 2.0× 1.4k 2.8× 1.3k 2.7× 1.3k 2.9× 198 5.6k
Michael Schmidt Germany 33 593 0.6× 866 1.1× 318 0.6× 234 0.5× 484 1.1× 144 4.0k
Antonio Martı́nez Spain 45 332 0.3× 1.5k 1.9× 572 1.1× 459 0.9× 2.8k 6.3× 157 6.7k
Kiyoshi Sakamoto Japan 32 303 0.3× 514 0.7× 254 0.5× 453 0.9× 1.3k 3.0× 140 3.3k
Jianhua Zhou China 34 128 0.1× 990 1.3× 720 1.4× 433 0.9× 557 1.3× 183 3.8k
Jean Roy Canada 32 178 0.2× 2.2k 2.8× 551 1.1× 400 0.8× 2.0k 4.5× 163 5.9k
Yuanyuan Zha United States 22 454 0.5× 2.5k 3.2× 826 1.7× 496 1.0× 4.5k 10.2× 67 6.8k
Jeffrey D. Goldsmith United States 35 453 0.5× 1.3k 1.6× 1.1k 2.3× 1.5k 3.0× 965 2.2× 130 5.0k
Michelle Wong South Africa 23 231 0.2× 1.4k 1.8× 383 0.8× 347 0.7× 440 1.0× 47 3.3k

Countries citing papers authored by Jun Won Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jun Won Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Won 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 Jun Won Kim. The network helps show where Jun Won Kim may publish in the future.

Co-authorship network of co-authors of Jun Won Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Won Kim. A scholar is included among the top collaborators of Jun Won Kim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun Won Kim. Jun Won Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lee, Jisun, Jun Won Kim, Seong‐Wook Park, et al.. (2024). Enhanced Omicron Variant Neutralization by a Human Antibody Tailored to Wild-Type and Delta-Variant SARS-CoV-2 RBDs. Molecular Pharmaceutics. 21(9). 4336–4346. 1 indexed citations
3.
Park, Sang Joon, Ik Jae Lee, Jun Won Kim, & Jong Chul Ye. (2024). MS-DINO: Masked Self-Supervised Distributed Learning Using Vision Transformer. IEEE Journal of Biomedical and Health Informatics. 28(10). 6180–6192. 2 indexed citations
4.
Sung, Jiwon, Yeona Cho, Jun Won Kim, & Ho Lee. (2024). Dose Calculation Accuracy of Beam Models in RadCalc for a 1.5 T MR-Linac. Cancers. 16(3). 526–526.
5.
Kim, Jun Won, Ik Jae Lee, Joon Jeong, et al.. (2024). Feasibility of Intraoperative Radiotherapy Tumor Bed Boost in Patients with Breast Cancer after Neoadjuvant Chemotherapy. Yonsei Medical Journal. 65(3). 129–129. 3 indexed citations
6.
Cho, Yeona, Jun Won Kim, Jee Suk Chang, et al.. (2023). Radiation dose-event relationship after intraoperative radiotherapy as a boost in patients with breast cancer. Frontiers in Oncology. 13. 1182820–1182820. 1 indexed citations
7.
Kim, Taewoo, Jeong‐Sun Yang, Jun Won Kim, et al.. (2022). Relative infectivity of the SARS-CoV-2 Omicron variant in human alveolar cells. iScience. 25(12). 105571–105571. 2 indexed citations
8.
Cho, Yeona, Jun Won Kim, Hyung Sun Kim, Joon Seong Park, & Ik Jae Lee. (2022). Intraoperative Radiotherapy for Resectable Pancreatic Cancer Using a Low-Energy X-Ray Source: Postoperative Complications and Early Outcomes. Yonsei Medical Journal. 63(5). 405–405. 3 indexed citations
9.
Lee, Byung Min, Yeona Cho, Jun Won Kim, et al.. (2021). Association between Skeletal Muscle Loss and the Response to Neoadjuvant Chemotherapy for Breast Cancer. Cancers. 13(8). 1806–1806. 12 indexed citations
10.
Kim, Jie‐Hyun, Jun Won Kim, Yeona Cho, et al.. (2021). Prognostic Significance of Interim Response Evaluation during Definitive Chemoradiotherapy for Locally Advanced Esophageal Squamous Cell Carcinoma. Cancers. 13(6). 1255–1255. 3 indexed citations
12.
Kim, Soo Young, Seok‐Mo Kim, Jun Won Kim, et al.. (2020). Survival With Lenvatinib for the Treatment of Progressive Anaplastic Thyroid Cancer: A Single-Center, Retrospective Analysis. Frontiers in Endocrinology. 11. 599–599. 10 indexed citations
13.
Kim, Jie‐Hyun, Ik Jae Lee, Yeona Cho, et al.. (2019). Different prognosis of patients with esophageal carcinoma with M1a and regional node involvement. Digestive and Liver Disease. 51(11). 1610–1616. 3 indexed citations
14.
15.
Park, Sang Joon, Yoon Jin, Sang Hyun Suh, et al.. (2019). Risk group-adapted adjuvant radiotherapy for WHO grade I and II skull base meningioma. Journal of Cancer Research and Clinical Oncology. 145(5). 1351–1360. 11 indexed citations
16.
Won, Daeyoun David, Yeona Cho, Jie‐Hyun Kim, et al.. (2019). Relationship Between Sarcopenia and Prognosis in Patient With Concurrent Chemo-Radiation Therapy for Esophageal Cancer. Frontiers in Oncology. 9. 25 indexed citations
17.
Kim, Tae Hyung, Ik Jae Lee, Jie‐Hyun Kim, et al.. (2018). High‐dose versus standard‐dose radiation therapy for cervical esophageal cancer: Retrospective single‐institution study. Head & Neck. 41(1). 146–153. 12 indexed citations
18.
Kim, Jung Eun, et al.. (2018). Factors Associated with an Adherence to Counseling in Telephone Crisis Hotline. 24(2). 105–114. 1 indexed citations
19.
Kim, Sungtae, Ki Chang Keum, Jun Won Kim, et al.. (2016). Postoperative irradiation after implant placement: A pilot study for prosthetic reconstruction. The Journal of Advanced Prosthodontics. 8(5). 363–363. 7 indexed citations
20.
Cha, Jihye, Young Seok Kim, Won Park, et al.. (2016). Clinical significance of radiotherapy in patients with primary uterine carcinosarcoma: a multicenter retrospective study (KROG 13-08). Journal of Gynecologic Oncology. 27(6). e58–e58. 9 indexed citations

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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