Jun Zhou

142 papers receiving 3.3k citations

Peers

Jun Zhou
Comparison fields: 5 of 131
  • Endocrine and Autonomic Systems 404
  • Developmental Neuroscience 164
  • Biological Psychiatry 79
  • Cancer Research 471
  • Neurology 239
Replace Giuseppe M. Campo with:
Giuseppe M. Campo Italy
Masao Kaneki United States
Chao‐Yu Miao China
Alice Y. Chang Taiwan
Laila Ahmed Rashed Egypt
Xiaoming Wang China
Lülüfer Tamer Türkiye
Yasuhito Uezono Japan
Peter Plomgaard Denmark
Meral Yüksel Türkiye
Jun Zhou relative to Giuseppe M. Campo Italy Giuseppe M. Campo's profile →
Citations per field
00.5×2.9×
Giuseppe M. Campo · 1×
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 148 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998261
2 2006223
3 2015150
4 1997138
5 2006138
6 2014134
7 200897
8 201094
9 201365
10 201265
11
Noninvasive imaging of atherosclerotic lesions in apolipoprotein E-deficient and low-density-lipoprotein receptor-deficient mice with annexin A5.
200658
12 201658
13 201954
14 201753
15 200953
16 201150
17 201748
18 202045
19 201845
20 200741

About Jun Zhou

Jun Zhou is a scholar working on Molecular Biology, Surgery, Pulmonary and Respiratory Medicine, Cancer Research and Physiology, having authored 148 papers that have together received 3.4k indexed citations. Recurring topics across this work include Anesthesia and Neurotoxicity Research (11 papers), Neuroinflammation and Neurodegeneration Mechanisms (11 papers), Intensive Care Unit Cognitive Disorders (9 papers), Acupuncture Treatment Research Studies (8 papers), Regulation of Appetite and Obesity (7 papers), Cancer-related molecular mechanisms research (7 papers), Circular RNAs in diseases (6 papers) and Cardiac Ischemia and Reperfusion (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (404 citations), Developmental Neuroscience (164 citations), Biological Psychiatry (79 citations), Cancer Research (471 citations) and Neurology (239 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, Stephen M. Redmann, Roy J. Martin, Michael J. Keenan, Maren Hegsted, Anne M. Raggio and Kathleen L McCutcheon. Their work appears in journals such as International Immunopharmacology, Journal of Surgical Research, Oxidative Medicine and Cellular Longevity, 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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