Juu‐Chin Lu
Impact in
- Cell Biology top 10%
- Cellular transport and secretion
- Physiology top 10%
- Pain Mechanisms and Treatments
- Erythrocyte Function and Pathophysiology
Papers in
-
- Lipid Membrane Structure and Behavior 3
- Peroxisome Proliferator-Activated Receptors 2
-
- Adipose Tissue and Metabolism 3
- Calcium signaling and nucleotide metabolism 2
- Pain Mechanisms and Treatments 2
- Co-authors
- Chih‐Tien Wang (9 shared papers)Payne Y. Chang (2 shared papers)Meyer B. Jackson (1 shared paper)Thomas F.J. Martin (1 shared paper)Jihong Bai (1 shared paper)Edwin R. Chapman (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 StatesChina
In The Last Decade
Juu‐Chin Lu
19 papers receiving 493 citations
Peers
Comparison fields: 5 of 68
- Cell Biology 191
- Physiology 41
- Cellular and Molecular Neuroscience 140
- Physiology 138
- Neurology 36
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 | 175 | |
| 2 | 2012 | 75 | |
| 3 | 2014 | 48 | |
| 4 | 2008 | 39 | |
| 5 | 2017 | 25 | |
| 6 | 2014 | 22 | |
| 7 | 2013 | 19 | |
| 8 | 2005 | 17 | |
| 9 | 2014 | 15 | |
| 10 | 2016 | 14 | |
| 11 | 2012 | 10 | |
| 12 | 2023 | 9 | |
| 13 | 2013 | 9 | |
| 14 | 2023 | 6 | |
| 15 | 2021 | 5 | |
| 16 | 2019 | 4 | |
| 17 | 2021 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2019 | 1 | |
| 20 | 2025 | 0 |
About Juu‐Chin Lu
Juu‐Chin Lu is a scholar working on Molecular Biology, Physiology, Cell Biology, Epidemiology and Physiology, having authored 20 papers that have together received 496 indexed citations. Recurring topics across this work include Cellular transport and secretion (5 papers), Adipose Tissue and Metabolism (3 papers), Lipid Membrane Structure and Behavior (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Calcium signaling and nucleotide metabolism (2 papers), Pain Mechanisms and Treatments (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Cell Biology (191 citations), Physiology (41 citations), Cellular and Molecular Neuroscience (140 citations), Physiology (138 citations) and Neurology (36 citations). Juu‐Chin Lu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Chih‐Tien Wang, Payne Y. Chang, Meyer B. Jackson, Thomas F.J. Martin, Jihong Bai, Edwin R. Chapman, Hung‐Li Wang, Ying-Ling Chen, Allen H. Li and Linda A. Schuler. 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.