Juu‐Chin Lu
Impact in
- Cell Biology top 5%
- Cellular transport and secretion
-
- Pain Mechanisms and Treatments
- Adenosine and Purinergic Signaling
Papers in
-
- Cellular transport and secretion 7
-
- Neuroscience and Neuropharmacology Research 4
- Co-authors
- Chih‐Tien Wang (9 shared papers)Payne Y. Chang (2 shared papers)Jihong Bai (1 shared paper)Thomas F.J. Martin (1 shared paper)Edwin R. Chapman (1 shared paper)Meyer B. Jackson (1 shared paper)Hung‐Li Wang (4 shared papers)Ying-Ling Chen (3 shared papers)
- Journals
- PLoS ONE (5 papers)Journal of Neuroinflammation (2 papers)Molecular Neurobiology (2 papers)Biochemical Pharmacology (1 paper)The Journal of Physiology (1 paper)
- Partner nations
- TaiwanUnited States
In The Last Decade
Juu‐Chin Lu
18 papers receiving 508 citations
Peers
Comparison fields: 5 of 54
- Cell Biology 199
- Physiology 111
- Physiology 15
- Cellular and Molecular Neuroscience 57
- Neurology 23
Countries citing papers authored by Juu‐Chin Lu
This map shows the geographic impact of Juu‐Chin Lu'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 Juu‐Chin Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juu‐Chin Lu more than expected).
Fields of papers citing papers by Juu‐Chin Lu
This network shows the impact of papers produced by Juu‐Chin Lu. 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 Juu‐Chin Lu. The network helps show where Juu‐Chin Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Juu‐Chin Lu, 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 | 2003 | 183 | |
| 2 | 2012 | 80 | |
| 3 | 2014 | 48 | |
| 4 | 2008 | 39 | |
| 5 | 2017 | 26 | |
| 6 | 2014 | 22 | |
| 7 | 2013 | 19 | |
| 8 | 2005 | 18 | |
| 9 | 2014 | 15 | |
| 10 | 2016 | 14 | |
| 11 | 2023 | 11 | |
| 12 | 2012 | 10 | |
| 13 | 2013 | 10 | |
| 14 | 2023 | 8 | |
| 15 | 2019 | 6 | |
| 16 | 2021 | 5 | |
| 17 | 2021 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2025 | 0 |
About Juu‐Chin Lu
Juu‐Chin Lu is a scholar working on Cell Biology, Cellular and Molecular Neuroscience, Physiology, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 19 papers that have together received 517 indexed citations. Recurring topics across this work include Cellular transport and secretion (7 papers), Neuroscience and Neuropharmacology Research (4 papers), Retinal Development and Disorders (3 papers), Cholesterol and Lipid Metabolism (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Estrogen and related hormone effects (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Growth Hormone and Insulin-like Growth Factors (2 papers). The work is most often cited by research in Cell Biology (199 citations), Physiology (111 citations), Physiology (15 citations), Cellular and Molecular Neuroscience (57 citations) and Neurology (23 citations). Juu‐Chin Lu has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Chih‐Tien Wang, Payne Y. Chang, Jihong Bai, Thomas F.J. Martin, Edwin R. Chapman, Meyer B. Jackson, Hung‐Li Wang, Ying-Ling Chen, Allen Hon-Lun Li and Timothy M. Piazza. Their work appears in journals such as PLoS ONE, Journal of Neuroinflammation, Molecular Neurobiology, Biochemical Pharmacology and The Journal of Physiology.
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.