Jun Won Kim

5.0k citations
138 papers · 3.8k · 1 hit paper · h-index 25

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • SARS-CoV-2 detection and testing
    • COVID-19 Clinical Research Studies
  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

    • Advanced Radiotherapy Techniques 20
    • Hepatocellular Carcinoma Treatment and Prognosis 13

Jun Won Kim

132 papers receiving 3.7k citations

Jun Won Kim's Hit Papers

The Architecture of SARS-CoV-2 Transcriptome 2020 · 1.6k citations
1.6k0+2+4Years since publication50010001.5k

Peers

Jun Won Kim
Comparison fields: 5 of 100
  • Infectious Diseases 1.1k
  • Hepatology 259
  • Radiation 204
  • Otorhinolaryngology 115
  • Cancer Research 119
Replace Chao Hui ZHOU with:
Chao Hui ZHOU China
Janet W. Andersen United States
Qibin Song China
Reid F. Thompson United States
Bicheng Zhang China
Brendon Matthew Stiles United States
Hans Schlößer Germany
Nicola Pimpinelli Italy
Jih‐Luh Tang Taiwan
Samir N. Khleif United States
Jun Won Kim relative to Chao Hui ZHOU China Chao Hui ZHOU's profile →
Citations per field
00.5×10×20×28.5×
Chao Hui ZHOU · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 138 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Architecture of SARS-CoV-2 Transcriptome
Hit paper breakdown →
20201625
2 2021218
3 201991
4 201888
5 201263
6 201661
7 201354
8 201651
9 201650
10 201247
11 201244
12 201344
13 201642
14 201539
15 201839
16 201638
17 201838
18 201231
19 201629
20 201729

About Jun Won Kim

Jun Won Kim is a scholar working on Radiation, Hepatology, Otorhinolaryngology, Oncology and Cell Biology, having authored 138 papers that have together received 3.8k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (20 papers), Hepatocellular Carcinoma Treatment and Prognosis (13 papers), Head and Neck Cancer Studies (7 papers), Microtubule and mitosis dynamics (6 papers), Brain Metastases and Treatment (6 papers), Breast Cancer Treatment Studies (6 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and Esophageal Cancer Research and Treatment (5 papers). The work is most often cited by research in Infectious Diseases (1.1k citations), Hepatology (259 citations), Radiation (204 citations), Otorhinolaryngology (115 citations) and Cancer Research (119 citations). Jun Won Kim has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Jeong‐Sun Yang, Joo-Yeon Lee, V. Narry Kim, Hyeshik Chang, Dong-Wan Kim, Ik Jae Lee, Ki Chang Keum, Yeona Cho, Jinsil Seong and Chang‐Ok Suh. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Frontiers in Oncology, Radiation Oncology Journal, Scientific Reports and Cancer Research and Treatment.

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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