Jun Zhou

145 papers receiving 3.4k citations

Peers

Jun Zhou
Comparison fields: 5 of 126
  • Endocrine and Autonomic Systems 372
  • Developmental Neuroscience 131
  • Cancer Research 398
  • Biological Psychiatry 65
  • Neurology 202
Replace Masao Kaneki with:
Masao Kaneki United States
Alice Y. Chang Taiwan
Ding‐Feng Su China
Laila Ahmed Rashed Egypt
Chao‐Yu Miao China
Lin Yan China
Peter Plomgaard Denmark
Herbert Marini Italy
Anders R. Nielsen Denmark
Ding‐Feng Su China
Jun Zhou relative to Masao Kaneki United States Masao Kaneki's profile →
Citations per field
00.5×1.5×1.8×
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Citations per year

Countries citing papers authored by Jun Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Jun Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 150 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998263
2 2006223
3 2015152
4 2006138
5 1997138
6 2014134
7 200897
8 201095
9 201367
10 201265
11 201661
12
Noninvasive imaging of atherosclerotic lesions in apolipoprotein E-deficient and low-density-lipoprotein receptor-deficient mice with annexin A5.
200658
13 201954
14 201753
15 200953
16 201150
17 201748
18 202047
19 202346
20 201846

About Jun Zhou

Jun Zhou is a scholar working on Molecular Biology, Surgery, Pulmonary and Respiratory Medicine, Physiology and Cancer Research, having authored 150 papers that have together received 3.5k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Intensive Care Unit Cognitive Disorders (7 papers), Cancer-related molecular mechanisms research (6 papers), Circular RNAs in diseases (6 papers), Anesthesia and Neurotoxicity Research (6 papers), Adipose Tissue and Metabolism (5 papers), Regulation of Appetite and Obesity (5 papers) and Hydrogen's biological and therapeutic effects (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (372 citations), Developmental Neuroscience (131 citations), Cancer Research (398 citations), Biological Psychiatry (65 citations) and Neurology (202 citations). Jun Zhou has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Ye Chen, Gennady Smagin, Ruth B. S. Harris, Donna H. Ryan, Roy J. Martin, Stephen M. Redmann, Kathleen L McCutcheon, Maren Hegsted, Anne M. Raggio and Michael J. Keenan. Their work appears in journals such as International Immunopharmacology, Journal of Surgical Research, PLoS ONE, Journal of Nuclear Cardiology and Brain Research.

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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