Jun Suk Kim

11.4k citations
136 papers · 3.4k · h-index 31

Impact in

  • Oncology top 2%
    • Pancreatic and Hepatic Oncology Research
  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

    • Pancreatic and Hepatic Oncology Research 9
    • Cancer Treatment and Pharmacology 7
    • Colorectal Cancer Treatments and Studies 7
    • Advanced MIMO Systems Optimization 15
    • Millimeter-Wave Propagation and Modeling 9

Jun Suk Kim

135 papers receiving 3.3k citations

Peers

Jun Suk Kim
Comparison fields: 5 of 144
  • Oncology 1.1k
  • Hepatology 277
  • Cancer Research 315
  • Pathology and Forensic Medicine 300
  • Surgery 653
Replace Dae Ho Lee with:
Dae Ho Lee South Korea
Hongyun Zhao China
Martin Schilling Germany
Yusuke Yamamoto Japan
Fei Li China
Amit Agrawal United Kingdom
Bert Hildebrandt Germany
Eun Young Lee South Korea
Rahmi Öklü United States
Giulio Gasparini Italy
Jun Suk Kim relative to Dae Ho Lee South Korea Dae Ho Lee's profile →
Citations per field
00.5×1.5×1.8×
Dae Ho Lee · 1×
Citations per year

Countries citing papers authored by Jun Suk Kim

Since Specialization
Citations

This map shows the geographic impact of Jun Suk 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 Suk 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 Suk Kim more than expected).

Fields of papers citing papers by Jun Suk Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011347
2 2012222
3 2018208
4 2004160
5 2012109
6 201195
7 201693
8 201170
9 200563
10 200561
11 201958
12 201754
13 201154
14 201151
15 200447
16 201746
17 201245
18 201443
19 200838
20 201236

About Jun Suk Kim

Jun Suk Kim is a scholar working on Oncology, Electrical and Electronic Engineering, Pulmonary and Respiratory Medicine, Molecular Biology and Surgery, having authored 136 papers that have together received 3.4k indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (15 papers), Graphene research and applications (11 papers), Carbon Nanotubes in Composites (10 papers), Pancreatic and Hepatic Oncology Research (9 papers), Millimeter-Wave Propagation and Modeling (9 papers), Cancer Treatment and Pharmacology (7 papers), Gastric Cancer Management and Outcomes (7 papers) and Colorectal Cancer Treatments and Studies (7 papers). The work is most often cited by research in Oncology (1.1k citations), Hepatology (277 citations), Cancer Research (315 citations), Pathology and Forensic Medicine (300 citations) and Surgery (653 citations). Jun Suk Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Yeul Hong Kim, Jae Hong Seo, Sang Won Shin, Hee Jin Jeong, Sang Cheul Oh, Kyong Hwa Park, Chul Won Choi, Min Young Chung, Young Hee Lee and Joong Tark Han. Their work appears in journals such as Cancer Research and Treatment, Cancer Chemotherapy and Pharmacology, ACS Nano, Blood and American Journal of Hematology.

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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