Hojun Kim
Impact in
-
- Traditional Chinese Medicine Studies
- Traditional Chinese Medicine Analysis
- Food Science top 1%
- Probiotics and Fermented Foods
Papers in
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- Traditional Chinese Medicine Studies 22
- Pharmacology 38
- Pharmacology and Obesity Treatment 29
- Co-authors
- Shambhunath Bose (41 shared papers)Jing‐Hua Wang (32 shared papers)Paulraj Kanmani (9 shared papers)Bong Soo Kim (6 shared papers)Kyungsun Han (15 shared papers)Mi‐Young Song (13 shared papers)Jae‐Gu Seo (8 shared papers)Mi‐Young Song (2 shared papers)
- Journals
- PLoS ONE (5 papers)International Journal of Molecular Sciences (4 papers)Frontiers in Pharmacology (4 papers)Medicine (4 papers)Scientific Reports (3 papers)
- Partner nations
- South KoreaChinaUnited States
In The Last Decade
Hojun Kim
185 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 131
- Complementary and alternative medicine 314
- Food Science 608
- Pharmacology 304
- Molecular Biology 1.2k
- Biochemistry 80
Countries citing papers authored by Hojun Kim
This map shows the geographic impact of Hojun 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 Hojun Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hojun Kim more than expected).
Fields of papers citing papers by Hojun Kim
This network shows the impact of papers produced by Hojun 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 Hojun Kim. The network helps show where Hojun Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Hojun 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 200 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 177 | |
| 2 | 2014 | 127 | |
| 3 | 2014 | 115 | |
| 4 | 2015 | 107 | |
| 5 | 2010 | 96 | |
| 6 | 2015 | 89 | |
| 7 | 2005 | 86 | |
| 8 | 2014 | 85 | |
| 9 | 2014 | 84 | |
| 10 | 2020 | 78 | |
| 11 | 2020 | 70 | |
| 12 | 2015 | 65 | |
| 13 | 2016 | 64 | |
| 14 | 2012 | 56 | |
| 15 | 2018 | 51 | |
| 16 | 2008 | 50 | |
| 17 | 2020 | 46 | |
| 18 | 2,3,7,8-Tetrachlorodibenzo-p-dioxin activates ERK and p38 mitogen-activated protein kinases in RAW 264.7 cells. | 2005 | 43 |
| 19 | 2018 | 43 | |
| 20 | 2019 | 43 |
About Hojun Kim
Hojun Kim is a scholar working on Complementary and alternative medicine, Pharmacology, Food Science, Molecular Biology and Gastroenterology, having authored 200 papers that have together received 3.2k indexed citations. Recurring topics across this work include Gut microbiota and health (47 papers), Pharmacology and Obesity Treatment (29 papers), Probiotics and Fermented Foods (26 papers), Traditional Chinese Medicine Studies (22 papers), Phytochemistry and Biological Activities (12 papers), Gastrointestinal motility and disorders (9 papers), Adipokines, Inflammation, and Metabolic Diseases (9 papers) and Natural Antidiabetic Agents Studies (9 papers). The work is most often cited by research in Complementary and alternative medicine (314 citations), Food Science (608 citations), Pharmacology (304 citations), Molecular Biology (1.2k citations) and Biochemistry (80 citations). Hojun Kim has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Shambhunath Bose, Jing‐Hua Wang, Paulraj Kanmani, Bong Soo Kim, Kyungsun Han, Mi‐Young Song, Jae‐Gu Seo, Mi‐Young Song, Young‐Do Nam and Myeong-Jong Lee. Their work appears in journals such as PLoS ONE, International Journal of Molecular Sciences, Frontiers in Pharmacology, Medicine and Scientific Reports.
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.