Jin Song

31 papers and 376 indexed citations i.

About

Jin Song is a scholar working on Food Science, Pathology and Forensic Medicine and Plant Science. According to data from OpenAlex, Jin Song has authored 31 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Food Science, 13 papers in Pathology and Forensic Medicine and 11 papers in Plant Science. Recurrent topics in Jin Song’s work include Food Quality and Safety Studies (18 papers), Phytoestrogen effects and research (13 papers) and Nutrition, Health and Food Behavior (6 papers). Jin Song is often cited by papers focused on Food Quality and Safety Studies (18 papers), Phytoestrogen effects and research (13 papers) and Nutrition, Health and Food Behavior (6 papers). Jin Song collaborates with scholars based in South Korea. Jin Song's co-authors include Kyung‐A Hwang, Yu-Jin Hwang, Kee‐Jong Kim, Areum Chun, Ho‐Jin Lee, In Guk Hwang, Hye Sun Choi, Sang Hoon Lee, Koan Sik Woo and Shin-Young Park and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, BMC Complementary and Alternative Medicine and International Journal of Food Properties.

In The Last Decade

Co-authorship network of co-authors of Jin Song i

Fields of papers citing papers by Jin Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jin Song

Since Specialization
Citations

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

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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