Jun-Min Kim
Impact in
- Oral Surgery top 5%
- Dental Radiography and Imaging
- Catalysis top 10%
- Catalysts for Methane Reforming
- Catalysis and Oxidation Reactions
Papers in
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- Dental Radiography and Imaging 7
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- Neuroscience and Neural Engineering 6
- Co-authors
- Jun Hyuk Moon (2 shared papers)Cheol‐Ho Kim (2 shared papers)Won-Jin Yi (11 shared papers)Changkyun Im (6 shared papers)Se-Ryong Kang (6 shared papers)Jong-Mo Seo (6 shared papers)Sam-Sun Lee (8 shared papers)Jo‐Eun Kim (8 shared papers)
- Journals
- Scientific Reports (3 papers)Polymers (2 papers)BMC Oral Health (2 papers)Progress in Orthodontics (1 paper)International Journal of Legal Medicine (1 paper)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Jun-Min Kim
28 papers receiving 337 citations
Peers
Comparison fields: 5 of 44
- Oral Surgery 83
- Catalysis 46
- Renewable Energy, Sustainability and the Environment 76
- Orthodontics 26
- Cellular and Molecular Neuroscience 48
Countries citing papers authored by Jun-Min Kim
This map shows the geographic impact of Jun-Min 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-Min 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-Min Kim more than expected).
Fields of papers citing papers by Jun-Min Kim
This network shows the impact of papers produced by Jun-Min 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-Min Kim. The network helps show where Jun-Min Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun-Min Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 61 | |
| 2 | 2022 | 44 | |
| 3 | 2017 | 25 | |
| 4 | 2022 | 25 | |
| 5 | 2017 | 23 | |
| 6 | 2017 | 19 | |
| 7 | 2024 | 18 | |
| 8 | 2022 | 16 | |
| 9 | 2023 | 15 | |
| 10 | 2019 | 14 | |
| 11 | 2013 | 13 | |
| 12 | 2017 | 12 | |
| 13 | 2023 | 12 | |
| 14 | 2020 | 10 | |
| 15 | 2024 | 8 | |
| 16 | 2013 | 4 | |
| 17 | 2017 | 4 | |
| 18 | 2017 | 4 | |
| 19 | 2024 | 4 | |
| 20 | 2018 | 3 |
About Jun-Min Kim
Jun-Min Kim is a scholar working on Oral Surgery, Cellular and Molecular Neuroscience, Biomedical Engineering, Computational Mechanics and Catalysis, having authored 34 papers that have together received 349 indexed citations. Recurring topics across this work include Dental Radiography and Imaging (7 papers), Neuroscience and Neural Engineering (6 papers), Optical Coherence Tomography Applications (3 papers), Advanced Neural Network Applications (3 papers), Orthodontics and Dentofacial Orthopedics (2 papers), 3D Shape Modeling and Analysis (2 papers), CO2 Reduction Techniques and Catalysts (2 papers) and Catalysts for Methane Reforming (2 papers). The work is most often cited by research in Oral Surgery (83 citations), Catalysis (46 citations), Renewable Energy, Sustainability and the Environment (76 citations), Orthodontics (26 citations) and Cellular and Molecular Neuroscience (48 citations). Jun-Min Kim has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Jun Hyuk Moon, Cheol‐Ho Kim, Won-Jin Yi, Changkyun Im, Se-Ryong Kang, Jong-Mo Seo, Sam-Sun Lee, Jo‐Eun Kim, Kyung‐Hoe Huh and Tae‐Il Kim. Their work appears in journals such as Scientific Reports, Polymers, BMC Oral Health, Progress in Orthodontics and International Journal of Legal Medicine.
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.