Jun Zhou

145 papers receiving 3.5k citations

Peers

Jun Zhou
Comparison fields: 5 of 127
  • Endocrine and Autonomic Systems 389
  • Developmental Neuroscience 133
  • Biological Psychiatry 68
  • Cancer Research 403
  • Neurology 205
Replace Masao Kaneki with:
Masao Kaneki United States
Alice Y. Chang Taiwan
Ding‐Feng Su China
Chao‐Yu Miao China
Laila Ahmed Rashed Egypt
Peter Plomgaard Denmark
Lin Yan China
Yuwen Li China
Anders R. Nielsen Denmark
Ding‐Feng Su China
Jun Zhou relative to Masao Kaneki United States Masao Kaneki's profile →
Citations per field
00.5×1.5×1.9×
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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 152 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998271
2 2006238
3 2015158
4 2006146
5 1997144
6 2014140
7 2008105
8 201097
9 201369
10 201265
11
Noninvasive imaging of atherosclerotic lesions in apolipoprotein E-deficient and low-density-lipoprotein receptor-deficient mice with annexin A5.
200664
12 201661
13 200956
14 201754
15 201954
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, Cancer Research and Physiology, having authored 152 papers that have together received 3.6k 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 (7 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 (389 citations), Developmental Neuroscience (133 citations), Biological Psychiatry (68 citations), Cancer Research (403 citations) and Neurology (205 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, Anne M. Raggio, Michael J. Keenan, Maren Hegsted and Kathleen L McCutcheon. Their work appears in journals such as International Immunopharmacology, Journal of Surgical Research, Brain Research, PLoS ONE and Journal of the American College of Cardiology.

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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