Jae‐Chan Song

22 total papers · 481 total citations
10 papers, 416 citations indexed

About

Jae‐Chan Song is a scholar working on Molecular Biology, Pharmacology and Nutrition and Dietetics. According to data from OpenAlex, Jae‐Chan Song has authored 10 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Pharmacology and 2 papers in Nutrition and Dietetics. Recurrent topics in Jae‐Chan Song's work include Pharmacological Effects of Natural Compounds (3 papers), Ginseng Biological Effects and Applications (2 papers) and Probiotics and Fermented Foods (2 papers). Jae‐Chan Song is often cited by papers focused on Pharmacological Effects of Natural Compounds (3 papers), Ginseng Biological Effects and Applications (2 papers) and Probiotics and Fermented Foods (2 papers). Jae‐Chan Song collaborates with scholars based in South Korea. Jae‐Chan Song's co-authors include Kyu‐Shik Jeong, Myung‐Ja Kwon, Song‐Hae Bok, Cha‐Soo Lee, Sun Hee, Won‐Il Jeong, Sung‐Yeon Cho, Si‐Yun Ryu, Tae‐Sook Jeong and Sang‐Joon Park and has published in prestigious journals such as Molecular and Cellular Biochemistry, Biotechnology Letters and BMB Reports.

In The Last Decade

Jae‐Chan Song

8 papers receiving 393 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jae‐Chan Song 183 86 83 70 59 10 416
Jianhua Shan 184 1.0× 69 0.8× 82 1.0× 51 0.7× 38 0.6× 9 423
Veena P. Salvi 151 0.8× 48 0.6× 71 0.9× 66 0.9× 50 0.8× 16 486
Xiang Wen 202 1.1× 49 0.6× 85 1.0× 83 1.2× 85 1.4× 10 405
V Lichnovský 154 0.8× 120 1.4× 70 0.8× 28 0.4× 31 0.5× 16 448
Tae Oh Kwon 212 1.2× 72 0.8× 153 1.8× 98 1.4× 56 0.9× 17 475
K.-C. Choi 194 1.1× 34 0.4× 90 1.1× 30 0.4× 79 1.3× 12 466
V. Šimánek 209 1.1× 157 1.8× 83 1.0× 24 0.3× 42 0.7× 13 415
Obiang-Obounou Brice 190 1.0× 78 0.9× 97 1.2× 35 0.5× 95 1.6× 12 474
Xiaoxiao Wang 197 1.1× 115 1.3× 142 1.7× 55 0.8× 62 1.1× 8 437
Nak Ju Sung 211 1.2× 37 0.4× 115 1.4× 56 0.8× 80 1.4× 15 415

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

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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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