Jin-Sik Bae

733 total citations
28 papers, 577 citations indexed

About

Jin-Sik Bae is a scholar working on Insect Science, Molecular Biology and Epidemiology. According to data from OpenAlex, Jin-Sik Bae has authored 28 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Insect Science, 9 papers in Molecular Biology and 7 papers in Epidemiology. Recurrent topics in Jin-Sik Bae's work include Insect and Pesticide Research (7 papers), Liver Disease Diagnosis and Treatment (6 papers) and Lipid metabolism and biosynthesis (5 papers). Jin-Sik Bae is often cited by papers focused on Insect and Pesticide Research (7 papers), Liver Disease Diagnosis and Treatment (6 papers) and Lipid metabolism and biosynthesis (5 papers). Jin-Sik Bae collaborates with scholars based in South Korea and Japan. Jin-Sik Bae's co-authors include Ji-Young Cha, Yong‐Ho Ahn, Tae Hyun Kim, Kyung‐Sup Kim, Eun‐Hee Kim, Ki Baik Hahm, Hae‐Sim Park, Seung‐Hyun Kim, Dong‐Ho Nahm and Chang‐Hee Suh and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and Journal of Allergy and Clinical Immunology.

In The Last Decade

Jin-Sik Bae

27 papers receiving 563 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jin-Sik Bae South Korea 14 234 133 114 101 79 28 577
Jinbo Han China 11 521 2.2× 220 1.7× 145 1.3× 232 2.3× 81 1.0× 20 1.1k
Vladimír Landa Czechia 19 529 2.3× 244 1.8× 84 0.7× 196 1.9× 87 1.1× 42 943
Mario Ruiz Sweden 17 347 1.5× 147 1.1× 94 0.8× 98 1.0× 55 0.7× 27 726
Rita T. Brookheart United States 11 389 1.7× 137 1.0× 63 0.6× 136 1.3× 36 0.5× 16 703
Damir Zadravec Sweden 6 440 1.9× 166 1.2× 77 0.7× 102 1.0× 73 0.9× 7 953
Edgar Weber Germany 16 211 0.9× 44 0.3× 49 0.4× 67 0.7× 63 0.8× 28 689
Liliana N. Guerra Argentina 14 241 1.0× 98 0.7× 35 0.3× 76 0.8× 99 1.3× 38 594
Ajit Shah United States 10 348 1.5× 164 1.2× 227 2.0× 50 0.5× 102 1.3× 11 759
Qun Zhu China 17 633 2.7× 67 0.5× 100 0.9× 135 1.3× 44 0.6× 29 1.1k
A R Saltiel United States 11 440 1.9× 117 0.9× 148 1.3× 60 0.6× 102 1.3× 13 730

Countries citing papers authored by Jin-Sik Bae

Since Specialization
Citations

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

Fields of papers citing papers by Jin-Sik Bae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin-Sik Bae

This figure shows the co-authorship network connecting the top 25 collaborators of Jin-Sik Bae. A scholar is included among the top collaborators of Jin-Sik Bae 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 Jin-Sik Bae. Jin-Sik Bae 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
2.
Bae, Jin-Sik, et al.. (2016). Hepatic Elovl6 gene expression is regulated by the synergistic action of ChREBP and SREBP-1c. Biochemical and Biophysical Research Communications. 478(3). 1060–1066. 37 indexed citations
3.
Bae, Jin-Sik, et al.. (2016). Ursodeoxycholic acid decreases age-related adiposity and inflammation in mice. BMB Reports. 49(2). 105–110. 25 indexed citations
4.
Kim, Eun‐Hee, Jin-Sik Bae, Ki Baik Hahm, & Ji-Young Cha. (2012). Endogenously synthesized n-3 polyunsaturated fatty acids in fat-1 mice ameliorate high-fat diet-induced non-alcoholic fatty liver disease. Biochemical Pharmacology. 84(10). 1359–1365. 69 indexed citations
5.
Kim, Tae Hyun, et al.. (2010). Role of resveratrol in FOXO1-mediated gluconeogenic gene expression in the liver. Biochemical and Biophysical Research Communications. 403(3-4). 329–334. 47 indexed citations
7.
Kim, Tae Hyun, Hail Kim, Seung‐Soon Im, et al.. (2009). Interrelationship between liver X receptor alpha, sterol regulatory element-binding protein-1c, peroxisome proliferator-activated receptor gamma, and small heterodimer partner in the transcriptional regulation of glucokinase gene expression in liver. 284(22). 15071–15083. 26 indexed citations
8.
Bae, Jin-Sik, Seung‐Hyun Kim, Young‐Min Ye, et al.. (2006). Significant association of FcɛRIα promoter polymorphisms with aspirin-intolerant chronic urticaria. Journal of Allergy and Clinical Immunology. 119(2). 449–456. 84 indexed citations
9.
Lee, Myeong-Lyeol, et al.. (2004). Phylogenetic Relationships among Some Bumblebees (Hymenoptera: Apidae) Common in Korea Inferred from Mitochondrial 16S rRNA Sequences. International Journal of Industrial Entomology. 8(1). 51–59. 1 indexed citations
11.
Bae, Jin-Sik, et al.. (2003). Mitochondrial COI Gene Sequence-Based Population Genetic Structure of the Diamondback Moth, Plutella xylostella, in Korea. Genes & Genomics. 25(2). 155–172. 10 indexed citations
12.
Lee, Myeong-Lyeol, et al.. (2003). Genetic Homogeneity of the Korean Native Bumble Bee, Bombus ardens (Hymenoptera: Apidae), Detected by Mitochondrial COI Gene Sequences. International Journal of Industrial Entomology. 6(1). 63–68. 2 indexed citations
13.
Bae, Jin-Sik, et al.. (2003). Mitochondrial DNA Sequence-Based Population Genetic Structure of the Firefly, Pyrocoelia rufa (Coleoptera: Lampyridae). Biochemical Genetics. 41(11-12). 427–452. 23 indexed citations
14.
Bae, Jin-Sik, et al.. (2002). Determination of the Ribosomal DNA Internal Transcribed Spacers and 5.85 rDNA Sequences of Cordyceps Species. International Journal of Industrial Entomology. 5(1). 85–91. 2 indexed citations
15.
Lee, Kwang‐Sik, et al.. (2000). Analysis of Expressed Sequence Tags of the Firefly, Pyrocoelia rufa. International Journal of Industrial Entomology. 1(2). 165–169. 1 indexed citations
16.
Kim, Iksoo, et al.. (2000). Genetic Homogeneity in the Domestic Silkworm, Bombyx, and Phylogenetic Relationship Between B. mori and the Wild Silkworm, B. mandarina Using Mitochondrial COI Gene Sequences. International Journal of Industrial Entomology. 1(1). 9–17. 20 indexed citations
17.
Kim, Iksoo, et al.. (2000). Mitochondrial DNA polymorphism and population genetic structure of diamondback moths, Plutella xylostella (Lepidoptera: Yponomeutidae), in Korea.. 30(1). 21–32. 3 indexed citations
18.
Kim, Iksoo, et al.. (2000). Mitochondrial DNA sequence variation of the firefly, Pyrocoelia rufa (Coleoptera: Lampyridae), in Korea.. Korean journal of applied entomology. 39(3). 181–191. 2 indexed citations
19.
Kim, Iksoo, et al.. (2000). Genetic divergence and phylogenetic relationships among the Korean fireflies, Hotaria papariensis, Luciola lateralis, and Pyrocoelia rufa (Coleoptera: Lampyridae), using mitochondrial DNA sequences.. Korean journal of applied entomology. 39(4). 211–226. 11 indexed citations
20.
Kim, Iksoo, et al.. (2000). Haplotype diversity and gene flow of the diamondback moth, Plutella xylostella (L.) (Lepidoptera: Yponomeutidae), in Korea.. Korean journal of applied entomology. 39(1). 43–52. 8 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026