Daniel Chun
Impact in
-
- Neuroscience and Neuropharmacology Research
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
Papers in
-
- Neuroscience and Neuropharmacology Research 7
- Photoreceptor and optogenetics research 2
-
- Receptor Mechanisms and Signaling 2
- Peroxisome Proliferator-Activated Receptors 1
- Co-authors
- Ursula Stäubli (6 shared papers)Gary Lynch (3 shared papers)Eul‐Sik Yoon (2 shared papers)Gregory R. D. Evans (1 shared paper)Sandipan Dhar (1 shared paper)Xiaoning Bi (1 shared paper)Christine M. Gall (1 shared paper)Ben A. Bahr (1 shared paper)
- Journals
- Journal of Neuroscience (4 papers)Neuroscience (1 paper)Journal of Cardiac Failure (1 paper)Learning & Memory (1 paper)Brain Research (1 paper)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Daniel Chun
12 papers receiving 914 citations
Peers
Comparison fields: 5 of 70
- Cellular and Molecular Neuroscience 533
- Immunology and Allergy 139
- Developmental Neuroscience 75
- Neurology 108
- Genetics 122
Countries citing papers authored by Daniel Chun
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).
Fields of papers citing papers by Daniel Chun
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.
Co-authors
The 25 scholars most cited alongside Daniel Chun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 215 | |
| 2 | 1998 | 171 | |
| 3 | 1997 | 150 | |
| 4 | 1996 | 137 | |
| 5 | 2001 | 96 | |
| 6 | 1999 | 78 | |
| 7 | 1996 | 30 | |
| 8 | 2002 | 25 | |
| 9 | 2007 | 12 | |
| 10 | 1998 | 11 | |
| 11 | 1981 | 4 | |
| 12 | 2017 | 1 |
About Daniel Chun
Daniel Chun is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Surgery, Cognitive Neuroscience and Physiology, having authored 12 papers that have together received 930 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (7 papers), Neural dynamics and brain function (2 papers), Photoreceptor and optogenetics research (2 papers), Cell Adhesion Molecules Research (2 papers), Memory and Neural Mechanisms (2 papers), Receptor Mechanisms and Signaling (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper) and Orthopedic Surgery and Rehabilitation (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (533 citations), Immunology and Allergy (139 citations), Developmental Neuroscience (75 citations), Neurology (108 citations) and Genetics (122 citations). Daniel Chun has collaborated with scholars based in United States and South Korea. Frequent co-authors include Ursula Stäubli, Gary Lynch, Eul‐Sik Yoon, Gregory R. D. Evans, Sandipan Dhar, Xiaoning Bi, Christine M. Gall, Ben A. Bahr, Peng Xiao and Zhanxin Ji. Their work appears in journals such as Journal of Neuroscience, Neuroscience, Journal of Cardiac Failure, Learning & Memory and Brain Research.
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.