Shil Jin

513 total citations
51 papers, 328 citations indexed

About

Shil Jin is a scholar working on Genetics, Animal Science and Zoology and Molecular Biology. According to data from OpenAlex, Shil Jin has authored 51 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Genetics, 27 papers in Animal Science and Zoology and 10 papers in Molecular Biology. Recurrent topics in Shil Jin's work include Genetic and phenotypic traits in livestock (25 papers), Animal Nutrition and Physiology (18 papers) and Genetic Mapping and Diversity in Plants and Animals (17 papers). Shil Jin is often cited by papers focused on Genetic and phenotypic traits in livestock (25 papers), Animal Nutrition and Physiology (18 papers) and Genetic Mapping and Diversity in Plants and Animals (17 papers). Shil Jin collaborates with scholars based in South Korea, Indonesia and Egypt. Shil Jin's co-authors include Jun Heon Lee, Cheorun Jo, Kang–Nyeong Heo, Dongwon Seo, Hee-Bok Park, Muhammad Cahyadi, Dinesh D. Jayasena, Prabuddha Manjula, Soo-Hyun Lee and Seung Hwan Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Shil Jin

45 papers receiving 303 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shil Jin South Korea 11 182 172 55 53 39 51 328
Seung Ju Park South Korea 10 192 1.1× 122 0.7× 35 0.6× 80 1.5× 20 0.5× 19 359
Xiangpeng Yue China 12 178 1.0× 224 1.3× 46 0.8× 161 3.0× 46 1.2× 26 447
Dilla Mareistia Fassah South Korea 7 166 0.9× 115 0.7× 41 0.7× 79 1.5× 24 0.6× 22 319
J. L. Noguera Spain 10 222 1.2× 340 2.0× 67 1.2× 69 1.3× 31 0.8× 20 482
Wanqiang Tian China 8 58 0.3× 140 0.8× 54 1.0× 59 1.1× 27 0.7× 14 246
E. M. England United States 10 207 1.1× 54 0.3× 17 0.3× 107 2.0× 12 0.3× 16 332
Qixin Guo China 9 63 0.3× 94 0.5× 43 0.8× 106 2.0× 18 0.5× 34 219
Jiuxiu Ji China 9 134 0.7× 141 0.8× 57 1.0× 85 1.6× 12 0.3× 9 282
Bárbara Silva‐Vignato Brazil 6 103 0.6× 108 0.6× 51 0.9× 83 1.6× 10 0.3× 14 221
Seok-Hyeon Beak South Korea 5 158 0.9× 98 0.6× 27 0.5× 67 1.3× 24 0.6× 12 278

Countries citing papers authored by Shil Jin

Since Specialization
Citations

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

Fields of papers citing papers by Shil Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shil Jin. 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 Shil Jin. The network helps show where Shil Jin may publish in the future.

Co-authorship network of co-authors of Shil Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Shil Jin. A scholar is included among the top collaborators of Shil Jin 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 Shil Jin. Shil Jin 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.
Jin, Shil, et al.. (2025). High-quality phased genome assemblies of line-bred Korean Hanwoo cattle. Scientific Data. 12(1). 1807–1807.
2.
Koh, Yeong Jun, Shil Jin, Jae‐Ho Lee, et al.. (2025). Precise phenotyping method using image data for carcass marbling score in Hanwoo cattle. PLoS ONE. 20(1). e0318058–e0318058.
3.
Jin, Shil, Eunju Kim, Seung‐Hoon Lee, et al.. (2024). Recovery of ovarian activity and uterine involution in postpartum primiparous Hanwoo cow. SHILAP Revista de lepidopterología. 39(3). 201–211.
5.
Jin, Shil, et al.. (2024). Polymorphism analysis of tri- and tetranucleotide repeat microsatellite markers in Hanwoo cattle. Journal of Animal Science and Technology. 66(4). 717–725.
6.
Jin, Shil, et al.. (2024). Metabolomic and metagenomic analyses elucidate the role of intercropping in mitigating continuous cropping challenges in tobacco. Frontiers in Plant Science. 15. 1447225–1447225. 1 indexed citations
7.
Kang, Sung-Sik, et al.. (2024). Pregnancy rate in Hanwoo cows after timed artificial insemination using different sperm concentrations. SHILAP Revista de lepidopterología. 39(1). 40–47. 1 indexed citations
8.
Haque, Md Azizul, Yun-Mi Lee, Jae Jung Ha, et al.. (2023). Genomic Predictions in Korean Hanwoo Cows: A Comparative Analysis of Genomic BLUP and Bayesian Methods for Reproductive Traits. Animals. 14(1). 27–27. 6 indexed citations
9.
Haque, Md Azizul, Asif Iqbal, Yun-Mi Lee, et al.. (2023). Genome-Wide Association Study to Identify QTL for Carcass Traits in Korean Hanwoo Cattle. Animals. 13(17). 2737–2737. 14 indexed citations
10.
Seo, Dongwon, Shil Jin, Dajeong Lim, et al.. (2022). Long-term artificial selection of Hanwoo (Korean) cattle left genetic signatures for the breeding traits and has altered the genomic structure. Scientific Reports. 12(1). 6438–6438. 19 indexed citations
11.
Chung, Ki Yong, et al.. (2020). mRNA expression of myogenic-adipogenic makers and adipocyte in skeletal muscle of Hanwoo calves at newborn and 6 months of age. Journal of Animal Science and Technology. 62(6). 893–902.
12.
Cahyadi, Muhammad, Hee-Bok Park, Shil Jin, et al.. (2020). Association of the thyroid hormone responsive spot 14 alpha gene with growth-related traits in Korean native chicken. Asian-Australasian Journal of Animal Sciences. 33(11). 1755–1762. 3 indexed citations
14.
Jin, Shil, Hee-Bok Park, Dongwon Seo, et al.. (2018). Identification of quantitative trait loci for the fatty acid composition in Korean native chicken. Asian-Australasian Journal of Animal Sciences. 31(8). 1134–1140. 10 indexed citations
15.
Seo, Dongwon, Hee-Bok Park, Shil Jin, et al.. (2016). Genome scan linkage analysis identifies quantitative trait loci affecting serum clinical–chemical traits in Korean native chicken. Molecular Biology Reports. 43(7). 601–605. 1 indexed citations
16.
Jin, Shil, Jun Heon Lee, Dongwon Seo, et al.. (2016). A Major Locus for Quantitatively Measured Shank Skin Color Traits in Korean Native Chicken. Asian-Australasian Journal of Animal Sciences. 29(11). 1555–1561. 15 indexed citations
17.
Lee, Jae-Bong, Eunji Jung, Hee-Bok Park, et al.. (2014). Genome-wide association analysis to identify SNP markers affecting teat numbers in an F2 intercross population between Landrace and Korean native pigs. Molecular Biology Reports. 41(11). 7167–7173. 11 indexed citations
18.
Seo, Dongwon, Jae-Don Oh, Shil Jin, et al.. (2014). Single nucleotide polymorphism analysis of Korean native chickens using next generation sequencing data. Molecular Biology Reports. 42(2). 471–477. 10 indexed citations
19.
Jin, Shil, et al.. (2011). Analysis of MC1R genotypes in three different colored Korean cattle (Hanwoo). Korean Journal of Agricultural Science. 38(3). 453–458. 2 indexed citations
20.
Jin, Shil, Kwon-Kyoo Kang, Chae-Kyoung Yoo, et al.. (1970). The Possibility of TBC1D21 as a Candidate Gene for Teat Numbers in Pigs. Asian-Australasian Journal of Animal Sciences. 26(10). 1374–1378. 2 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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