Jun Yun
Impact in
-
- Carbon dioxide utilization in catalysis
- Catalysis top 10%
- Catalysts for Methane Reforming
Papers in
- Surgery 9
- Salivary Gland Tumors Diagnosis and Treatment 2
-
- Thermochemical Biomass Conversion Processes 4
- Subcritical and Supercritical Water Processes 3
- Catalysis for Biomass Conversion 3
- Co-authors
- Fangming Jin (7 shared papers)Heiji Enomoto (2 shared papers)Kazuyuki Tohji (2 shared papers)Guangming Li (1 shared paper)Xu Zeng (4 shared papers)Wei Feng (1 shared paper)Zhibao Huo (1 shared paper)Li Wang (1 shared paper)
- Journals
- The Laryngoscope (4 papers)Head & Neck (3 papers)Oral Oncology (1 paper)Journal of Affective Disorders (1 paper)Catalysis Today (1 paper)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Jun Yun
24 papers receiving 513 citations
Peers
Comparison fields: 5 of 74
- Process Chemistry and Technology 119
- Catalysis 128
- Renewable Energy, Sustainability and the Environment 117
- Otorhinolaryngology 28
- Biomedical Engineering 270
Countries citing papers authored by Jun Yun
This map shows the geographic impact of Jun Yun'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 Yun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Yun more than expected).
Fields of papers citing papers by Jun Yun
This network shows the impact of papers produced by Jun Yun. 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 Yun. The network helps show where Jun Yun may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Yun, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 228 | |
| 2 | 2014 | 72 | |
| 3 | 2016 | 48 | |
| 4 | 2012 | 41 | |
| 5 | 2023 | 18 | |
| 6 | 2023 | 15 | |
| 7 | 2012 | 15 | |
| 8 | 2022 | 12 | |
| 9 | 2012 | 11 | |
| 10 | 2014 | 10 | |
| 11 | 2013 | 9 | |
| 12 | 2024 | 7 | |
| 13 | 2023 | 7 | |
| 14 | 2023 | 7 | |
| 15 | 2024 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2007 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2011 | 1 |
About Jun Yun
Jun Yun is a scholar working on Surgery, Biomedical Engineering, Catalysis, Otorhinolaryngology and Pulmonary and Respiratory Medicine, having authored 27 papers that have together received 515 indexed citations. Recurring topics across this work include Thermochemical Biomass Conversion Processes (4 papers), Catalysts for Methane Reforming (4 papers), Subcritical and Supercritical Water Processes (3 papers), Catalysis for Biomass Conversion (3 papers), Head and Neck Cancer Studies (3 papers), Salivary Gland Tumors Diagnosis and Treatment (2 papers), Adsorption and biosorption for pollutant removal (2 papers) and CO2 Reduction Techniques and Catalysts (2 papers). The work is most often cited by research in Process Chemistry and Technology (119 citations), Catalysis (128 citations), Renewable Energy, Sustainability and the Environment (117 citations), Otorhinolaryngology (28 citations) and Biomedical Engineering (270 citations). Jun Yun has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Fangming Jin, Heiji Enomoto, Kazuyuki Tohji, Guangming Li, Xu Zeng, Wei Feng, Zhibao Huo, Li Wang, Atsushi Kishita and Heng Zhong. Their work appears in journals such as The Laryngoscope, Head & Neck, Oral Oncology, Journal of Affective Disorders and Catalysis Today.
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.