Daniel Chun

12 papers and 915 indexed citations i.

About

Daniel Chun is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Surgery. According to data from OpenAlex, Daniel Chun has authored 12 papers receiving a total of 915 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 4 papers in Molecular Biology and 3 papers in Surgery. Recurrent topics in Daniel Chun’s work include Neuroscience and Neuropharmacology Research (7 papers), Memory and Neural Mechanisms (2 papers) and Receptor Mechanisms and Signaling (2 papers). Daniel Chun is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), Memory and Neural Mechanisms (2 papers) and Receptor Mechanisms and Signaling (2 papers). Daniel Chun collaborates with scholars based in United States and South Korea. Daniel Chun's co-authors include Ursula Stäubli, Gary Lynch, Eul‐Sik Yoon, Sandipan Dhar, Gregory R. D. Evans, Joseph Scafidi, Christine M. Gall, Xiaoning Bi, Zhanxin Ji and Peng Xiao and has published in prestigious journals such as Journal of Neuroscience, Diabetes and Brain Research.

In The Last Decade

Co-authorship network of co-authors of Daniel Chun i

Fields of papers citing papers by Daniel Chun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Chun

Since Specialization
Citations

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