Ju Lan Chun

619 total citations
41 papers, 467 citations indexed

About

Ju Lan Chun is a scholar working on Molecular Biology, Physiology and Animal Science and Zoology. According to data from OpenAlex, Ju Lan Chun has authored 41 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Physiology and 8 papers in Animal Science and Zoology. Recurrent topics in Ju Lan Chun's work include Diet and metabolism studies (8 papers), Animal Nutrition and Physiology (7 papers) and Muscle Physiology and Disorders (6 papers). Ju Lan Chun is often cited by papers focused on Diet and metabolism studies (8 papers), Animal Nutrition and Physiology (7 papers) and Muscle Physiology and Disorders (6 papers). Ju Lan Chun collaborates with scholars based in South Korea, United States and Japan. Ju Lan Chun's co-authors include Ki Hyun Kim, Suzanne E. Berry, Sang Yun Ji, Jin Young Jeong, Han Tae Bang, Robert T. O’Brien, Sung Dae Lee, Yoo Kyung Lee, B. M. Odintsov and Minho Song and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Ju Lan Chun

40 papers receiving 452 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ju Lan Chun South Korea 14 205 91 60 59 56 41 467
Alfredo Ramírez‐Reveco Chile 16 143 0.7× 47 0.5× 43 0.7× 111 1.9× 59 1.1× 42 706
Domenico Ventrella Italy 17 152 0.7× 47 0.5× 31 0.5× 65 1.1× 59 1.1× 56 625
Cuilan Zhu Canada 12 78 0.4× 72 0.8× 25 0.4× 50 0.8× 196 3.5× 21 394
N. García-Gil Spain 20 176 0.9× 75 0.8× 53 0.9× 115 1.9× 210 3.8× 33 938
Eneiva Carla Carvalho Celeghini Brazil 19 123 0.6× 56 0.6× 26 0.4× 239 4.1× 145 2.6× 84 1.2k
H. van Herck Netherlands 13 113 0.6× 21 0.2× 57 0.9× 69 1.2× 52 0.9× 24 604
Ricardo Romão Guerra Brazil 14 69 0.3× 29 0.3× 39 0.7× 38 0.6× 172 3.1× 95 529
Hannah Galantino‐Homer United States 13 187 0.9× 45 0.5× 33 0.6× 205 3.5× 21 0.4× 32 1.3k
Dale Lackeyram Canada 10 165 0.8× 17 0.2× 58 1.0× 51 0.9× 192 3.4× 22 484
Yuting Wei China 14 221 1.1× 18 0.2× 52 0.9× 26 0.4× 50 0.9× 36 548

Countries citing papers authored by Ju Lan Chun

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ju Lan Chun

This figure shows the co-authorship network connecting the top 25 collaborators of Ju Lan Chun. A scholar is included among the top collaborators of Ju Lan Chun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ju Lan Chun. Ju Lan Chun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lee, Min Young, et al.. (2025). Anti-Obesity Potential of Barley Sprouts in Dog Diets and Their Impact on the Gut Microbiota. Microorganisms. 13(3). 594–594. 1 indexed citations
2.
Lee, Min Young, et al.. (2024). Nutritional value of common carbohydrate sources used in pet foods. Journal of Animal Science and Technology. 66(6). 1282–1290. 1 indexed citations
3.
Kim, Chan Ho, et al.. (2024). Animal welfare indicators and stress response of broiler chickens raised at low and high stocking density. Journal of Animal Science and Technology. 67(5). 1126–1138. 2 indexed citations
4.
Lee, Min Young, et al.. (2024). Prediction of apparent total tract digestion of crude protein in adult dogs. Journal of Animal Science and Technology. 66(2). 374–386. 2 indexed citations
5.
Jaiswal, Varun, Mi-Jin Lee, Ju Lan Chun, Miey Park, & Hae‐Jeung Lee. (2024). 1-Deoxynojirimycin containing Morus alba leaf-based food modulates the gut microbiome and expression of genes related to obesity. BMC Veterinary Research. 20(1). 133–133. 1 indexed citations
6.
Chun, Ju Lan, et al.. (2023). Effects of resistant starch on anti-obesity status and nutrient digestibility in dogs. Journal of Animal Science and Technology. 65(3). 550–561. 6 indexed citations
7.
Cho, Hyun-Woo, et al.. (2023). Investigation of dry dog food market trends and valuation of carbohydrate sources for dog diets. Korean Journal of Agricultural Science. 50(3). 449–458. 1 indexed citations
8.
Kim, Ki Hyun, et al.. (2022). Gut microbiota profiling in aged dogs after feeding pet food contained Hericium erinaceus. Journal of Animal Science and Technology. 64(5). 937–949. 15 indexed citations
9.
Jeong, Jin Young, et al.. (2022). Evaluating sulfoxaflor residues in pig tissues using animal modeling. Journal of Animal Science and Technology. 64(5). 911–921. 4 indexed citations
10.
Chun, Ju Lan, et al.. (2021). Evaluation of Fermented Oat and Black Soldier Fly Larva as Food Ingredients in Senior Dog Diets. Animals. 11(12). 3509–3509. 17 indexed citations
11.
Kim, Ki Hyun, et al.. (2021). Age-related digestibility of nutrients depending on the moisture content in aged dogs. Journal of Animal Science and Technology. 63(6). 1355–1361. 11 indexed citations
12.
Chun, Ju Lan, et al.. (2020). Difference of gut microbiota composition based on the body condition scores in dogs. Journal of Animal Science and Technology. 62(2). 239–246. 34 indexed citations
13.
Reddy, Kondreddy Eswar, Min‐Ji Kim, Ki Hyun Kim, et al.. (2020). Effect of commercially purified deoxynivalenol and zearalenone mycotoxins on microbial diversity of pig cecum contents. Animal Bioscience. 34(2). 243–255. 18 indexed citations
14.
Chun, Ju Lan, Han Tae Bang, Sang Yun Ji, et al.. (2020). Comparison of sample preparation procedures of inductively coupled plasma to measure elements in dog’s hair. Journal of Animal Science and Technology. 62(1). 58–63. 2 indexed citations
15.
Bang, Han Tae, et al.. (2020). Evaluation of black soldier fly larvae oil as a dietary fat source in broiler chicken diets. Journal of Animal Science and Technology. 62(2). 187–197. 45 indexed citations
16.
Kim, Ki Hyun, et al.. (2020). Effects of Dietary Supplementation of Condensed Molasses Soluble (CMS) on Growth Performance and Meat Quality in Growing-finishing Pigs. Journal of the Korea Academia-Industrial cooperation Society. 21(11). 427–434.
17.
Chun, Ju Lan, Han Tae Bang, Sang Yun Ji, et al.. (2019). A simple method to evaluate body condition score to maintain the optimal body weight in dogs. Journal of Animal Science and Technology. 61(6). 366–370. 48 indexed citations
18.
Chun, Ju Lan, Kyung-Bon Lee, Ji Hye Lee, et al.. (2016). Effect of acteoside on the re-localization and abnormal morphology of mitochondria in porcine oocytes during in vitro maturation. Journal of Assisted Reproduction and Genetics. 33(7). 939–948. 13 indexed citations
19.
Lee, Ji Hye, Ju Lan Chun, Eun Young Kim, et al.. (2016). Effect of Acteoside as a Cell Protector to Produce a Cloned Dog. PLoS ONE. 11(7). e0159330–e0159330. 6 indexed citations
20.
Odintsov, B. M., et al.. (2011). 14.1 T whole body MRI for detection of mesoangioblast stem cells in a murine model of duchenne muscular dystrophy. Magnetic Resonance in Medicine. 66(6). 1704–1714. 17 indexed citations

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.

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