Jun Zhou

8.1k citations
115 papers · 6.1k indexed · 2 hit papers · h-index 29

Impact in

    • Cancer-related molecular mechanisms research
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Cancer-related gene regulation
    • RNA and protein synthesis mechanisms
    • Epigenetics and DNA Methylation

Papers in

Jun Zhou

107 papers receiving 6.0k citations

Hit Papers

Dynamic m6A mRNA methylation directs translational control of heat shock response 2015 · 988 citations
98820152026201820224008001.2k

Peers

Jun Zhou
Comparison fields: 5 of 138
  • Cancer Research 1.7k
  • Molecular Biology 4.6k
  • Aging 84
  • Immunology 704
  • Endocrinology 136
Replace Ajay A. Vashisht with:
Ajay A. Vashisht United States
Andrzej Dziembowski Poland
Brian B. Tuch United States
Martine A. Collart Switzerland
Antonius Koller United States
Patrick Provost Canada
Nan Li China
Mariola J. Edelmann United States
Qihong Huang China
David García‐Seisdedos Spain
Jun Zhou relative to Ajay A. Vashisht United States Ajay A. Vashisht's profile →
Citations per field
00.5×3.9×
Ajay A. Vashisht · 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-authorship network

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
#Work
1 20254
2 202510
3 20250
4 20242
5 20243
6 202339
7 20237
8 20221
9 20201
10 20202
11 20201
12 20198
13 201940
14 201844
15 2018201
16 201363
17 20103
18 20081
19
Development of a Fluorogenic Quantitative PCR Assay for Rapid Quantification ofHog cholera lapmizea virus
20032
20 1998467

About Jun Zhou

Jun Zhou is a scholar working on Endocrinology, Cancer Research, Plant Science, Molecular Biology and Aging, having authored 115 papers that have together received 6.1k indexed citations. Recurring topics across this work include RNA modifications and cancer (23 papers), Plant Virus Research Studies (21 papers), Plant and Fungal Interactions Research (17 papers), Cancer-related gene regulation (13 papers), Cancer-related molecular mechanisms research (11 papers), Plant Pathogenic Bacteria Studies (10 papers), RNA and protein synthesis mechanisms (9 papers) and Genomics and Phylogenetic Studies (9 papers). The work is most often cited by research in Cancer Research (1.7k citations), Molecular Biology (4.6k citations), Aging (84 citations), Immunology (704 citations) and Endocrinology (136 citations). Jun Zhou has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Shu‐Bing Qian, Samie R. Jaffrey, Ji Wan, Xingqian Zhang, Xiangwei Gao, Maxim A. Skabkin, Alexandra Zinoviev, Tatyana V. Pestova, Olivier Elemento and Deepak P. Patil. Their work appears in journals such as Plant Disease, Archives of Virology, Molecular Cell, PLoS Genetics and PLoS ONE.

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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