Daijun Ling

8 papers and 454 indexed citations i.

About

Daijun Ling is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, Daijun Ling has authored 8 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Epidemiology and 4 papers in Physiology. Recurrent topics in Daijun Ling’s work include Autophagy in Disease and Therapy (4 papers), Alzheimer's disease research and treatments (4 papers) and Molecular Biology Techniques and Applications (3 papers). Daijun Ling is often cited by papers focused on Autophagy in Disease and Therapy (4 papers), Alzheimer's disease research and treatments (4 papers) and Molecular Biology Techniques and Applications (3 papers). Daijun Ling collaborates with scholars based in United States, Norway and South Korea. Daijun Ling's co-authors include Paul M. Salvaterra, Paul M. Salvaterra, Thomas P. Neufeld, Dan Garza, Man Ryul Lee, Mark A. Behlke, Richard Jove, Sung‐Hwan Moon, Kye-Seong Kim and Nan Sook Lee and has published in prestigious journals such as PLoS ONE, Analytical Biochemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Co-authorship network of co-authors of Daijun Ling i

Fields of papers citing papers by Daijun Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daijun Ling

Since Specialization
Citations

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