Jae‐Chan Song

485 citations
10 papers · 417 indexed · h-index 5
Topics
Pharmacological Effects of Natural Compounds (3 papers)Microbial Metabolites in Food Biotechnology (2 papers)Ginseng Biological Effects and Applications (2 papers)
Partner nations
South Korea

In The Last Decade

Jae‐Chan Song

8 papers receiving 394 citations

Peers

Jae‐Chan Song
Comparison fields: 5 of 81
  • Molecular Biology 182
  • Pharmacology 86
  • Plant Science 83
  • Biochemistry 71
  • Food Science 59
Replace Eui‐Baek Byun with:
Eui‐Baek Byun South Korea
V Lichnovský Czechia
Daekeun Shin South Korea
Tae Oh Kwon South Korea
Jeong Rak Lee South Korea
Jianhua Shan China
Chung-Hui Kim South Korea
K. B. Soni India
She–Ching Wu Taiwan
Tetsu Ohashi Japan
Jae‐Chan Song relative to Eui‐Baek Byun South Korea Eui‐Baek Byun's profile →
Citations per field
00.5×1.5×
Eui‐Baek Byun · 1×
Citations per year

Countries citing papers authored by Jae‐Chan Song

Since Specialization
Citations

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

Fields of papers citing papers by Jae‐Chan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae‐Chan Song. 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 Jae‐Chan Song. The network helps show where Jae‐Chan Song may publish in the future.

Co-authorship network of co-authors of Jae‐Chan Song

This figure shows the co-authorship network connecting the top 25 collaborators of Jae‐Chan Song. A scholar is included among the top collaborators of Jae‐Chan Song 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 Jae‐Chan Song. Jae‐Chan Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 3
2 2
3 4
4 56
5
Antidiabetic Effects of Calcium Ion Water ® in Neonatal Streptozotocin-Induced Noninsulin-Dependent Diabetes Mellitus in Rats
1
6
Pathogenicity and Single Dose Toxicity of a Potential Probiotic Lactobacillus spp. PSC101 in Mice
1
7 283
8 10
9 57
10
Analysis of Partial cDNA Sequence from Human Fetal Liver
0

About Jae‐Chan Song

Jae‐Chan Song is a scholar working on Pharmacology, Nutrition and Dietetics and Molecular Biology, having authored 10 papers that have together received 417 indexed citations. Recurring topics across this work include Pharmacological Effects of Natural Compounds (3 papers), Microbial Metabolites in Food Biotechnology (2 papers) and Ginseng Biological Effects and Applications (2 papers). The work is most often cited by research in Biochemistry (71 citations), Pharmacology (86 citations) and Pharmacology (43 citations). Jae‐Chan Song has collaborated with scholars based in South Korea. Frequent co-authors include Kyu‐Shik Jeong, Tae‐Sook Jeong, Won‐Il Jeong, Si‐Yun Ryu, Song‐Hae Bok, Sang‐Joon Park, Sung‐Yeon Cho, Cha‐Soo Lee, Sun Hee and Myung‐Ja Kwon. Their work appears in journals such as Molecular and Cellular Biochemistry, Biotechnology Letters and BMB Reports.

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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