Juyeon Ko
Impact in
- Sensory Systems top 2%
- Ion Channels and Receptors
- Surgery top 10%
- Pancreatitis Pathology and Treatment
- Bariatric Surgery and Outcomes
Papers in
-
- Ion Channels and Receptors 14
- Surgery 28
- Pancreatitis Pathology and Treatment 28
- Co-authors
- Maxim S. Petrov (45 shared papers)Jaelim Cho (22 shared papers)Sakina H. Bharmal (25 shared papers)Daniel J. Donoghue (3 shared papers)Leandro H. Gallo (2 shared papers)Loren Skudder‐Hill (16 shared papers)Insuk So (14 shared papers)Wandia Kimita (17 shared papers)
- Journals
- Nutrients (8 papers)Pancreas (3 papers)Diabetes Obesity and Metabolism (2 papers)Pancreatology (2 papers)Pflügers Archiv - European Journal of Physiology (2 papers)
- Partner nations
- New ZealandSouth KoreaUnited States
In The Last Decade
Juyeon Ko
75 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 108
- Sensory Systems 164
- Surgery 393
- Endocrinology, Diabetes and Metabolism 105
- Cellular and Molecular Neuroscience 94
- Epidemiology 161
Countries citing papers authored by Juyeon Ko
This map shows the geographic impact of Juyeon Ko'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 Juyeon Ko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juyeon Ko more than expected).
Fields of papers citing papers by Juyeon Ko
This network shows the impact of papers produced by Juyeon Ko. 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 Juyeon Ko. The network helps show where Juyeon Ko may publish in the future.
Co-authors
The 25 scholars most cited alongside Juyeon Ko, 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 134 | |
| 2 | 2020 | 65 | |
| 3 | 2016 | 44 | |
| 4 | 2019 | 42 | |
| 5 | 2022 | 38 | |
| 6 | 2015 | 36 | |
| 7 | 2019 | 35 | |
| 8 | 2015 | 34 | |
| 9 | 2020 | 34 | |
| 10 | 2018 | 31 | |
| 11 | 2019 | 27 | |
| 12 | 2020 | 27 | |
| 13 | 2019 | 26 | |
| 14 | 2020 | 26 | |
| 15 | 2016 | 25 | |
| 16 | 2022 | 25 | |
| 17 | 2020 | 25 | |
| 18 | 2023 | 24 | |
| 19 | 2016 | 24 | |
| 20 | 2019 | 24 |
About Juyeon Ko
Juyeon Ko is a scholar working on Sensory Systems, Surgery, Cellular and Molecular Neuroscience, Epidemiology and Molecular Biology, having authored 76 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pancreatitis Pathology and Treatment (28 papers), Ion Channels and Receptors (14 papers), Ion channel regulation and function (11 papers), Liver Disease Diagnosis and Treatment (9 papers), Neurobiology and Insect Physiology Research (7 papers), Diet and metabolism studies (4 papers), Iron Metabolism and Disorders (3 papers) and Pesticide Exposure and Toxicity (3 papers). The work is most often cited by research in Sensory Systems (164 citations), Surgery (393 citations), Endocrinology, Diabetes and Metabolism (105 citations), Cellular and Molecular Neuroscience (94 citations) and Epidemiology (161 citations). Juyeon Ko has collaborated with scholars based in New Zealand, South Korea and United States. Frequent co-authors include Maxim S. Petrov, Jaelim Cho, Sakina H. Bharmal, Daniel J. Donoghue, Leandro H. Gallo, Loren Skudder‐Hill, Insuk So, Wandia Kimita, Jae Hyeon Park and Hyun Chul Koh. Their work appears in journals such as Nutrients, Pancreas, Diabetes Obesity and Metabolism, Pancreatology and Pflügers Archiv - European Journal of Physiology.
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.