Sang‐In Kim

56 papers and 1.0k indexed citations i.

About

Sang‐In Kim is a scholar working on Genetics, Oncology and Molecular Biology. According to data from OpenAlex, Sang‐In Kim has authored 56 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Genetics, 23 papers in Oncology and 22 papers in Molecular Biology. Recurrent topics in Sang‐In Kim’s work include Virus-based gene therapy research (19 papers), CAR-T cell therapy research (15 papers) and Cancer Research and Treatments (7 papers). Sang‐In Kim is often cited by papers focused on Virus-based gene therapy research (19 papers), CAR-T cell therapy research (15 papers) and Cancer Research and Treatments (7 papers). Sang‐In Kim collaborates with scholars based in United States, South Korea and Japan. Sang‐In Kim's co-authors include Kyung‐Sik Song, Yuman Fong, Nanhai G. Chen, Anthony K. Park, Jianming Lü, Shyambabu Chaurasiya, Yanghee Woo, Susanne G. Warner, Inhye Park and So-Young Jeon and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and The FASEB Journal.

In The Last Decade

Co-authorship network of co-authors of Sang‐In Kim i

Fields of papers citing papers by Sang‐In Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sang‐In Kim

Since Specialization
Citations

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