In-Ja Song

37 papers and 463 indexed citations i.

About

In-Ja Song is a scholar working on Molecular Biology, Plant Science and Environmental Chemistry. According to data from OpenAlex, In-Ja Song has authored 37 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 18 papers in Plant Science and 8 papers in Environmental Chemistry. Recurrent topics in In-Ja Song’s work include Plant tissue culture and regeneration (11 papers), Turfgrass Adaptation and Management (8 papers) and Genetically Modified Organisms Research (5 papers). In-Ja Song is often cited by papers focused on Plant tissue culture and regeneration (11 papers), Turfgrass Adaptation and Management (8 papers) and Genetically Modified Organisms Research (5 papers). In-Ja Song collaborates with scholars based in South Korea, Japan and United States. In-Ja Song's co-authors include Hyo‐Yeon Lee, Pyung Ok Lim, Jin Hee Kim, Jeongsik Kim, Hye Ryun Woo, Jin‐Hong Kim, Hong Gil Nam, Ung Lee, Jun-Young Kim and Su‐Moon Park and has published in prestigious journals such as Analytical Chemistry, Journal of Experimental Botany and Planta.

In The Last Decade

Co-authorship network of co-authors of In-Ja Song i

Fields of papers citing papers by In-Ja Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by In-Ja Song

Since Specialization
Citations

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