Kim Han

27 papers and 668 indexed citations i.

About

Kim Han is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, Kim Han has authored 27 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Epidemiology and 4 papers in Physiology. Recurrent topics in Kim Han’s work include Autophagy in Disease and Therapy (7 papers), Advanced biosensing and bioanalysis techniques (4 papers) and DNA and Nucleic Acid Chemistry (4 papers). Kim Han is often cited by papers focused on Autophagy in Disease and Therapy (7 papers), Advanced biosensing and bioanalysis techniques (4 papers) and DNA and Nucleic Acid Chemistry (4 papers). Kim Han collaborates with scholars based in United States, Japan and South Korea. Kim Han's co-authors include Michael N. Sack, Iain Scott, Bradley R. Webster, Javier Traba, Komudi Singh, Carmen K. M. Chan, Rebecca D. Huffstutler, Kaiyuan Wu, Shahin Hassanzadeh and Marjan Guček and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

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

Fields of papers citing papers by Kim Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kim Han

Since Specialization
Citations

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