Jerold Chun
- Cell Biology top 0.05%
- Endoplasmic Reticulum Stress and Disease 31
- Cellular transport and secretion 20
- Developmental Neuroscience top 0.1%
- Neurogenesis and neuroplasticity mechanisms 27
- Molecular Biology top 0.05%
- Sphingolipid Metabolism and Signaling 213
- Lipid Membrane Structure and Behavior 67
- Protein Kinase Regulation and GTPase Signaling 22
- Receptor Mechanisms and Signaling 20
- Physiology top 0.1%
- Biochemistry top 0.05%
- Lipid metabolism and biosynthesis 25
- Co-authors
- Joshua A. WeinerJames J. A. ContosNobuyuki FukushimaIsao IshiiYun C. YungXiaoqin YeDeron R. HerrRichard Rivera
- Journals
- Journal of Biological Chemistry (22 papers)Proceedings of the National Academy of Sciences (12 papers)Journal of Neuroscience (11 papers)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Jerold Chun
327 papers receiving 31.2k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Cell Biology 6.7k
- Developmental Neuroscience 1.6k
- Molecular Biology 23.9k
- Physiology 1.2k
- Biochemistry 1.9k
Countries citing papers authored by Jerold Chun
This map shows the geographic impact of Jerold 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 Jerold Chun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jerold Chun more than expected).
Fields of papers citing papers by Jerold Chun
This network shows the impact of papers produced by Jerold 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 Jerold Chun. The network helps show where Jerold Chun may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jerold 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 | 2024 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 9 | |
| 8 | 2022 | 14 | |
| 9 | 2022 | 28 | |
| 10 | 2021 | 2 | |
| 11 | 2021 | 64 | |
| 12 | 2020 | 22 | |
| 13 | 2019 | 13 | |
| 14 | 2018 | 48 | |
| 15 | 2018 | 26 | |
| 16 | FTY720 (fingolimod) efficacy in an animal model of multiple sclerosis requires astrocyte sphingosine 1-phosphate receptor 1 (S1P 1 ) modulationbreakdown → | 2010 | 489 |
| 17 | 2010 | 43 | |
| 18 | 2003 | 292 | |
| 19 | 2003 | 95 | |
| 20 | 2001 | 237 |
About Jerold Chun
Jerold Chun is a scholar working on Developmental Neuroscience, Cell Biology and Molecular Biology, having authored 334 papers that have together received 31.6k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (213 papers), Lipid Membrane Structure and Behavior (67 papers), Endoplasmic Reticulum Stress and Disease (31 papers), Neurogenesis and neuroplasticity mechanisms (27 papers), Lipid metabolism and biosynthesis (25 papers), Protein Kinase Regulation and GTPase Signaling (22 papers), Receptor Mechanisms and Signaling (20 papers) and Cellular transport and secretion (20 papers). The work is most often cited by research in Cell Biology (6.7k citations), Developmental Neuroscience (1.6k citations) and Molecular Biology (23.9k citations). Jerold Chun has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Joshua A. Weiner, James J. A. Contos, Nobuyuki Fukushima, Isao Ishii, Yun C. Yung, Xiaoqin Ye, Deron R. Herr, Richard Rivera, Marcy A. Kingsbury and Hans‐Peter Hartung. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Journal of Neuroscience, The Journal of Comparative Neurology and The FASEB Journal.
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.