In‐Seok Song

84 papers and 2.0k indexed citations i.

About

In‐Seok Song is a scholar working on Oral Surgery, Molecular Biology and Surgery. According to data from OpenAlex, In‐Seok Song has authored 84 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Oral Surgery, 17 papers in Molecular Biology and 16 papers in Surgery. Recurrent topics in In‐Seok Song’s work include Dental Radiography and Imaging (14 papers), Inflammatory mediators and NSAID effects (11 papers) and Oral microbiology and periodontitis research (9 papers). In‐Seok Song is often cited by papers focused on Dental Radiography and Imaging (14 papers), Inflammatory mediators and NSAID effects (11 papers) and Oral microbiology and periodontitis research (9 papers). In‐Seok Song collaborates with scholars based in South Korea, United States and Germany. In‐Seok Song's co-authors include William L. Smith, Chong Yuan, Ranjinder S. Sidhu, Jae‐Jun Ryu, Uri Mbonye, M. Wada, Jae‐Young Kim, Kyu-Hwan Jung, Kyungdo Han and R. Michael Garavito and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism and Biochemistry.

In The Last Decade

Co-authorship network of co-authors of In‐Seok Song i

Fields of papers citing papers by In‐Seok Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by In‐Seok Song

Since Specialization
Citations

This map shows the geographic impact of In‐Seok 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‐Seok 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‐Seok 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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