Juu‐Chin Lu

627 citations
20 papers · 494 · h-index 11

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
    • Receptor Mechanisms and Signaling 2
    • Adipose Tissue and Metabolism 3
    • Pain Mechanisms and Treatments 2

Juu‐Chin Lu

19 papers receiving 491 citations

Peers

Juu‐Chin Lu
Comparison fields: 5 of 69
  • Cell Biology 196
  • Physiology 41
  • Cellular and Molecular Neuroscience 151
  • Physiology 144
  • Neurology 41
Replace Annelies Rotthier with:
Annelies Rotthier Belgium
Albert Misko United States
María Velasco‐Estevez Ireland
Sul‐Hee Chung South Korea
Anja W. Fjorback Denmark
Marcel V. Alavi Germany
Andrea Ahles Germany
Diego E. Hernández Chile
Michiel Krols Belgium
Jeff Grant United States
Juu‐Chin Lu relative to Annelies Rotthier Belgium Annelies Rotthier's profile →
Citations per field
00.5×1.5×2.0×
Annelies Rotthier · 1×
Citations per year

Countries citing papers authored by Juu‐Chin Lu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Juu‐Chin Lu Line = papers co-authored together Juu‐Chin Lu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2003176
2 201273
3 201448
4 200839
5 201725
6 201422
7 201319
8 200517
9 201415
10 201613
11 201210
12 20239
13 20139
14 20236
15 20215
16 20194
17 20212
18 20231
19 20191
20 20250

About Juu‐Chin Lu

Juu‐Chin Lu is a scholar working on Molecular Biology, Physiology, Cell Biology, Cellular and Molecular Neuroscience and Epidemiology, having authored 20 papers that have together received 494 indexed citations. Recurring topics across this work include Cellular transport and secretion (5 papers), Lipid Membrane Structure and Behavior (3 papers), Adipose Tissue and Metabolism (3 papers), Photoreceptor and optogenetics research (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Neuropeptides and Animal Physiology (2 papers), Receptor Mechanisms and Signaling (2 papers) and Pain Mechanisms and Treatments (2 papers). The work is most often cited by research in Cell Biology (196 citations), Physiology (41 citations), Cellular and Molecular Neuroscience (151 citations), Physiology (144 citations) and Neurology (41 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, Edwin R. Chapman, Jihong Bai, Thomas F.J. Martin, Meyer B. Jackson, 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, The Journal of Physiology and Molecular Endocrinology.

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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