Jun Won Kim

5.6k citations
139 papers · 3.2k · 1 hit paper · h-index 25

Impact in

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

Papers in

Jun Won Kim

135 papers receiving 3.2k citations

Jun Won Kim's Hit Papers

The Architecture of SARS-CoV-2 Transcriptome 2020 · 1.4k citations
1.4k0+2+4Years since publication4008001.2k

Peers

Jun Won Kim
Comparison fields: 5 of 146
  • Infectious Diseases 946
  • Hepatology 249
  • Otorhinolaryngology 109
  • Cancer Research 303
  • Radiation 152
Replace Chao Zhou with:
Chao Zhou China
Michael Bitzer Germany
Michael Schmidt Germany
Jianhua Zhou China
Takeshi Mori Japan
Yuanyuan Zha United States
Neil Steven United Kingdom
Prasad S. Adusumilli United States
Dong-Wan Kim South Korea
Maurizio Chiriva‐Internati United States
Jun Won Kim relative to Chao Zhou China Chao Zhou's profile →
Citations per field
00.5×10×20×26.3×
Chao 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 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Architecture of SARS-CoV-2 Transcriptome
Hit paper breakdown →
20201401
2 201883
3 201976
4 201353
5 201652
6 201649
7 201643
8 201242
9 201640
10 201339
11 201538
12 201237
13 201636
14 201835
15 201832
16 201729
17 201928
18 201628
19 201327
20 201326

About Jun Won Kim

Jun Won Kim is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Hepatology, having authored 139 papers that have together received 3.2k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (12 papers), Hepatocellular Carcinoma Treatment and Prognosis (12 papers), Advanced Radiotherapy Techniques (10 papers), Brain Metastases and Treatment (10 papers), Head and Neck Cancer Studies (9 papers), Glioma Diagnosis and Treatment (8 papers), Lung Cancer Research Studies (7 papers) and Esophageal Cancer Research and Treatment (6 papers). The work is most often cited by research in Infectious Diseases (946 citations), Hepatology (249 citations), Otorhinolaryngology (109 citations), Cancer Research (303 citations) and Radiation (152 citations). Jun Won Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Joo-Yeon Lee, Jeong‐Sun Yang, 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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