Jun‐Mo Kim

2.4k total citations
147 papers, 1.6k citations indexed

About

Jun‐Mo Kim is a scholar working on Animal Science and Zoology, Molecular Biology and Genetics. According to data from OpenAlex, Jun‐Mo Kim has authored 147 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Animal Science and Zoology, 35 papers in Molecular Biology and 31 papers in Genetics. Recurrent topics in Jun‐Mo Kim's work include Genetic and phenotypic traits in livestock (23 papers), Meat and Animal Product Quality (22 papers) and Animal Nutrition and Physiology (20 papers). Jun‐Mo Kim is often cited by papers focused on Genetic and phenotypic traits in livestock (23 papers), Meat and Animal Product Quality (22 papers) and Animal Nutrition and Physiology (20 papers). Jun‐Mo Kim collaborates with scholars based in South Korea, United States and Netherlands. Jun‐Mo Kim's co-authors include Richard R. Parizek, Rajesh Kumar Pathak, Do‐Young Kim, Youn‐Chul Ryu, Jong‐Eun Park, Dajeong Lim, Kyung‐Tai Lee, Derek Elsworth, Seung-Hoon Lee and Dong Yong Kil and has published in prestigious journals such as Nature Communications, Journal of Geophysical Research Atmospheres and PLoS ONE.

In The Last Decade

Jun‐Mo Kim

135 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun‐Mo Kim South Korea 21 402 331 289 173 163 147 1.6k
Chang Ho Yu South Korea 18 755 1.9× 34 0.1× 281 1.0× 117 0.7× 81 0.5× 121 2.3k
Kun Ye China 24 605 1.5× 24 0.1× 246 0.9× 183 1.1× 57 0.3× 154 2.0k
Brent Gilpin New Zealand 27 799 2.0× 67 0.2× 129 0.4× 203 1.2× 176 1.1× 81 2.7k
Huiquan Liu China 34 1.5k 3.8× 62 0.2× 92 0.3× 146 0.8× 77 0.5× 120 3.9k
Guangzhi Zhang China 20 267 0.7× 111 0.3× 70 0.2× 62 0.4× 25 0.2× 115 1.2k
Jiakun Wang China 24 827 2.1× 182 0.5× 196 0.7× 159 0.9× 67 0.4× 114 2.2k
Guoming Li China 26 401 1.0× 472 1.4× 113 0.4× 40 0.2× 25 0.2× 154 2.0k
Shiyu Tao China 33 1.1k 2.7× 293 0.9× 232 0.8× 90 0.5× 37 0.2× 91 2.3k
Dongwan Kang United States 14 2.9k 7.1× 38 0.1× 255 0.9× 145 0.8× 147 0.9× 18 4.7k
Hélène Touzet France 17 1.5k 3.8× 42 0.1× 205 0.7× 135 0.8× 49 0.3× 40 2.7k

Countries citing papers authored by Jun‐Mo Kim

Since Specialization
Citations

This map shows the geographic impact of Jun‐Mo 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 Jun‐Mo Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun‐Mo Kim more than expected).

Fields of papers citing papers by Jun‐Mo Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun‐Mo 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 Jun‐Mo Kim. The network helps show where Jun‐Mo Kim may publish in the future.

Co-authorship network of co-authors of Jun‐Mo Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jun‐Mo Kim. A scholar is included among the top collaborators of Jun‐Mo Kim 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 Jun‐Mo Kim. Jun‐Mo Kim 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.
2.
Lee, Seung-Hoon, Kyu‐Sang Lim, Hak‐Kyo Lee, et al.. (2025). The vision of big data recirculation for smart livestock farming in South Korea. Journal of Animal Science and Technology. 67(2). 303–313.
3.
Lim, Seokwon, et al.. (2023). Blood transcriptomic differences in the immune response under stressful environmental according to stocking density in pigs. Journal of Animal Science. 101. 1 indexed citations
4.
Song, Minho, Sangnam Oh, Jun‐Mo Kim, et al.. (2023). Protective Effects of Lacticaseibacillus rhamnosus IDCC3201 on Motor Functions and Anxiety Levels in a Chronic Stress Mouse Model. Food Science of Animal Resources. 43(6). 1044–1054. 4 indexed citations
5.
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Kim, Jun‐Mo, et al.. (2022). Integrated transcriptome analysis for the hepatic and jejunal mucosa tissues of broiler chickens raised under heat stress conditions. Journal of Animal Science and Biotechnology. 13(1). 79–79. 23 indexed citations
7.
Han, Gi Ppeum, Jong Hyuk Kim, Jun‐Mo Kim, & Dong Yong Kil. (2022). Transcriptomic analysis of the liver in aged laying hens with different eggshell strength. Poultry Science. 102(1). 102217–102217. 13 indexed citations
8.
Pathak, Rajesh Kumar, et al.. (2022). Unraveling structural and conformational dynamics of DGAT1 missense nsSNPs in dairy cattle. Scientific Reports. 12(1). 4873–4873. 12 indexed citations
9.
Pathak, Rajesh Kumar, Young-Jun Seo, & Jun‐Mo Kim. (2022). Structural insights into inhibition of PRRSV Nsp4 revealed by structure-based virtual screening, molecular dynamics, and MM-PBSA studies. Journal of Biological Engineering. 16(1). 4–4. 18 indexed citations
10.
Kim, Do‐Young, et al.. (2022). Transcriptome alterations in spermatogonial stem cells exposed to bisphenol A. Animal Cells and Systems. 26(2). 70–83. 9 indexed citations
11.
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Kim, Sang-Wook, et al.. (2021). Relationship between porcine carcass grades and estimated traits based on conventional and non-destructive inspection methods. Journal of Animal Science and Technology. 64(1). 155–165. 6 indexed citations
14.
Lim, Kyu‐Sang, Hyungchul Kim, Bong‐Hwan Choi, et al.. (2021). Identification of Monoallelically Expressed Genes Associated with Economic Traits in Hanwoo (Korean Native Cattle). Animals. 12(1). 84–84. 2 indexed citations
15.
Park, Min Young, Bala Murali Krishna Vasamsetti, Wan Seop Kim, et al.. (2021). Comprehensive Analysis of Cardiac Xeno-Graft Unveils Rejection Mechanisms. International Journal of Molecular Sciences. 22(2). 751–751. 11 indexed citations
16.
Kim, Sang-Wook, Seung-Chai Kim, M.F.W. te Pas, et al.. (2020). Integrated time-serial transcriptome networks reveal common innate and tissue-specific adaptive immune responses to PRRSV infection. Veterinary Research. 51(1). 128–128. 23 indexed citations
17.
18.
Lee, Seung-Hoon, et al.. (2019). Comparisons of Beef Fatty Acid and Amino Acid Characteristics between Jeju Black Cattle, Hanwoo, and Wagyu Breeds. Food Science of Animal Resources. 39(3). 402–409. 23 indexed citations
19.
Kim, Jun‐Mo, Dajeong Lim, Kyung‐Tai Lee, et al.. (2018). Whole genome and transcriptome maps of the entirely black native Korean chicken breed Yeonsan Ogye. GigaScience. 7(7). 32 indexed citations
20.
Kim, Jun‐Mo, Jong‐Eun Park, Inkyu Yoo, et al.. (2018). Integrated transcriptomes throughout swine oestrous cycle reveal dynamic changes in reproductive tissues interacting networks. Scientific Reports. 8(1). 5436–5436. 33 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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