Junlan Zhou

599 citations
31 papers · 426 · h-index 13

Impact in

Papers in

Junlan Zhou

29 papers receiving 419 citations

Peers

Junlan Zhou
Comparison fields: 5 of 78
  • Cancer Research 61
  • Molecular Biology 203
  • Genetics 29
  • Cardiology and Cardiovascular Medicine 58
  • Immunology 46
Replace Daniela Haase with:
Daniela Haase Germany
Guilin Chen China
Edith Renaud-Gabardos France
Salina Gairhe United States
Zhuohao Liu China
Eric Ispanovic Canada
Dario F. Riascos‐Bernal United States
Fang Xie China
Nagadhara Dronadula United States
Junlan Zhou relative to Daniela Haase Germany Daniela Haase's profile →
Citations per field
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Citations per year

Countries citing papers authored by Junlan Zhou

Since Specialization
Citations

This map shows the geographic impact of Junlan Zhou'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 Junlan Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junlan Zhou more than expected).

Fields of papers citing papers by Junlan Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Junlan Zhou. 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 Junlan Zhou. The network helps show where Junlan Zhou may publish in the future.

Co-authors

The 25 scholars most cited alongside Junlan Zhou, 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 Junlan Zhou Line = papers co-authored together Junlan Zhou links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201576
2 201048
3 201344
4 201028
5 202124
6 200923
7
Adipocyte dysfunction and hypertension.
201221
8 201320
9 201819
10 201318
11 201512
12 201512
13 202412
14 20219
15 20238
16 20228
17 20207
18
Inhibition of methamphetamine-induced apoptosis by the calcium channel blocker verapamil in rat cerebellar neurons.
20046
19 20215
20 20245

About Junlan Zhou

Junlan Zhou is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Physiology, Cell Biology and Cellular and Molecular Neuroscience, having authored 31 papers that have together received 426 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (6 papers), Cellular transport and secretion (4 papers), Angiogenesis and VEGF in Cancer (4 papers), Mitochondrial Function and Pathology (3 papers), Lipid Membrane Structure and Behavior (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Cancer Research (61 citations), Molecular Biology (203 citations), Genetics (29 citations), Cardiology and Cardiovascular Medicine (58 citations) and Immunology (46 citations). Junlan Zhou has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Gangjian Qin, Raj Kishore, Yaoliang Tang, Douglas W. Losordo, Min Cheng, Richard J. Miller, Min Wu, Bo Qin, Kai Huang and Chan Boriboun. Their work appears in journals such as Circulation Research, PLoS ONE, Journal of Molecular and Cellular Cardiology, Toxicology Letters and Food Science & Nutrition.

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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