Young-Don Kwak

10 papers and 386 indexed citations i.

About

Young-Don Kwak is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Young-Don Kwak has authored 10 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Physiology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Young-Don Kwak’s work include Alzheimer's disease research and treatments (5 papers), Neurogenesis and neuroplasticity mechanisms (3 papers) and Nuclear Receptors and Signaling (3 papers). Young-Don Kwak is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), Neurogenesis and neuroplasticity mechanisms (3 papers) and Nuclear Receptors and Signaling (3 papers). Young-Don Kwak collaborates with scholars based in United States, South Korea and Germany. Young-Don Kwak's co-authors include Kimio Sugaya, Narayan R. Bhat, Francesca‐Fang Liao, Ruishan Wang, Li Liu, Edwards A. Park, Jing Jing Li, Hansruedi Büeler, Lianteng Zhi and Robert W. Williams and has published in prestigious journals such as Cell Metabolism, Biochemical and Biophysical Research Communications and European Journal of Pharmacology.

In The Last Decade

Co-authorship network of co-authors of Young-Don Kwak i

Fields of papers citing papers by Young-Don Kwak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young-Don Kwak. 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 Young-Don Kwak. The network helps show where Young-Don Kwak may publish in the future.

Countries citing papers authored by Young-Don Kwak

Since Specialization
Citations

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