Ju Lan Chun
Impact in
- Insect Science top 10%
- Insect Utilization and Effects
- Small Animals top 10%
Papers in
-
- Muscle Physiology and Disorders 6
- Gut microbiota and health 5
- Pluripotent Stem Cells Research 5
-
- Animal Nutrition and Physiology 8
- Meat and Animal Product Quality 4
- Co-authors
- Ki Hyun Kim (21 shared papers)Suzanne E. Berry (7 shared papers)Sang Yun Ji (7 shared papers)Robert T. O’Brien (2 shared papers)Jin Young Jeong (6 shared papers)Han Tae Bang (5 shared papers)Sung Dae Lee (5 shared papers)Yoo Kyung Lee (3 shared papers)
- Journals
- Journal of Animal Science and Technology (11 papers)Animals (5 papers)Stem Cells Translational Medicine (3 papers)Scientific Reports (2 papers)Neuromuscular Disorders (1 paper)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Ju Lan Chun
41 papers receiving 477 citations
Peers
Comparison fields: 5 of 87
- Insect Science 95
- Small Animals 51
- Animal Science and Zoology 52
- Equine 6
- Molecular Biology 195
Countries citing papers authored by Ju Lan Chun
This map shows the geographic impact of Ju Lan Chun'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 Ju Lan Chun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ju Lan Chun more than expected).
Fields of papers citing papers by Ju Lan Chun
This network shows the impact of papers produced by Ju Lan Chun. 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 Ju Lan Chun. The network helps show where Ju Lan Chun may publish in the future.
Co-authors
The 25 scholars most cited alongside Ju Lan Chun, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 50 | |
| 2 | 2020 | 46 | |
| 3 | 2020 | 34 | |
| 4 | 2015 | 31 | |
| 5 | 2012 | 31 | |
| 6 | 2012 | 29 | |
| 7 | 2020 | 26 | |
| 8 | 2021 | 23 | |
| 9 | 2020 | 20 | |
| 10 | 2021 | 19 | |
| 11 | 2011 | 17 | |
| 12 | 2011 | 17 | |
| 13 | 2013 | 17 | |
| 14 | 2022 | 16 | |
| 15 | 2016 | 13 | |
| 16 | 2021 | 12 | |
| 17 | 2022 | 12 | |
| 18 | 2013 | 12 | |
| 19 | 2022 | 9 | |
| 20 | 2023 | 7 |
About Ju Lan Chun
Ju Lan Chun is a scholar working on Molecular Biology, Animal Science and Zoology, Physiology, Surgery and Public Health, Environmental and Occupational Health, having authored 43 papers that have together received 493 indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (8 papers), Diet and metabolism studies (7 papers), Muscle Physiology and Disorders (6 papers), Gut microbiota and health (5 papers), Pluripotent Stem Cells Research (5 papers), Tissue Engineering and Regenerative Medicine (5 papers), Reproductive Biology and Fertility (5 papers) and Meat and Animal Product Quality (4 papers). The work is most often cited by research in Insect Science (95 citations), Small Animals (51 citations), Animal Science and Zoology (52 citations), Equine (6 citations) and Molecular Biology (195 citations). Ju Lan Chun has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Ki Hyun Kim, Suzanne E. Berry, Sang Yun Ji, Robert T. O’Brien, Jin Young Jeong, Han Tae Bang, Sung Dae Lee, Yoo Kyung Lee, Minho Song and B. M. Odintsov. Their work appears in journals such as Journal of Animal Science and Technology, Animals, Stem Cells Translational Medicine, Scientific Reports and Neuromuscular Disorders.
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.