Sang Ik Song

38 papers and 2.8k indexed citations i.

About

Sang Ik Song is a scholar working on Plant Science, Molecular Biology and Biotechnology. According to data from OpenAlex, Sang Ik Song has authored 38 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Plant Science, 23 papers in Molecular Biology and 5 papers in Biotechnology. Recurrent topics in Sang Ik Song’s work include Plant Molecular Biology Research (14 papers), Plant Stress Responses and Tolerance (12 papers) and Plant tissue culture and regeneration (9 papers). Sang Ik Song is often cited by papers focused on Plant Molecular Biology Research (14 papers), Plant Stress Responses and Tolerance (12 papers) and Plant tissue culture and regeneration (9 papers). Sang Ik Song collaborates with scholars based in South Korea, United States and Canada. Sang Ik Song's co-authors include Baek Hie Nahm, Ju‐Kon Kim, Yang Do Choi, Joungsu Joo, Jong‐Joo Cheong, Se‐Jun Oh, Yeon‐Ki Kim, Chung Ho Kim, Youn Hab Lee and Youn Shic Kim and has published in prestigious journals such as Nucleic Acids Research, Journal of Molecular Biology and PLANT PHYSIOLOGY.

In The Last Decade

Co-authorship network of co-authors of Sang Ik Song i

Fields of papers citing papers by Sang Ik Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sang Ik Song

Since Specialization
Citations

This map shows the geographic impact of Sang Ik 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 Sang Ik Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sang Ik 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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2025