Hyunmin Kim

10 papers and 367 indexed citations i.

About

Hyunmin Kim is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Hyunmin Kim has authored 10 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Immunology. Recurrent topics in Hyunmin Kim’s work include Estrogen and related hormone effects (2 papers), Bioinformatics and Genomic Networks (2 papers) and Computational Drug Discovery Methods (2 papers). Hyunmin Kim is often cited by papers focused on Estrogen and related hormone effects (2 papers), Bioinformatics and Genomic Networks (2 papers) and Computational Drug Discovery Methods (2 papers). Hyunmin Kim collaborates with scholars based in United States, South Korea and Germany. Hyunmin Kim's co-authors include Aik Choon Tan, Anagha Inguva, Tobias Neff, Clayton A. Smith, Kevin Shannon, Craig T. Jordan, Jason R. Myers, John M. Ashton, Daniel A. Pollyea and Mohammad Minhajuddin and has published in prestigious journals such as Clinical Cancer Research, Cell stem cell and Journal of Experimental Botany.

In The Last Decade

Co-authorship network of co-authors of Hyunmin Kim i

Fields of papers citing papers by Hyunmin Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hyunmin Kim

Since Specialization
Citations

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