Jun Yan

6.1k total citations
111 papers, 3.5k citations indexed

About

Jun Yan is a scholar working on Molecular Biology, Plant Science and Endocrine and Autonomic Systems. According to data from OpenAlex, Jun Yan has authored 111 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 34 papers in Plant Science and 15 papers in Endocrine and Autonomic Systems. Recurrent topics in Jun Yan's work include Circadian rhythm and melatonin (15 papers), Plant Molecular Biology Research (12 papers) and Adipose Tissue and Metabolism (11 papers). Jun Yan is often cited by papers focused on Circadian rhythm and melatonin (15 papers), Plant Molecular Biology Research (12 papers) and Adipose Tissue and Metabolism (11 papers). Jun Yan collaborates with scholars based in China, United States and Germany. Jun Yan's co-authors include Haifang Wang, H. D. Schwark, E.G. Jones, SH Hendry, Thomas G. Marr, Chunxuan Shao, Brian M. Barnes, Yuting Liu, Yichi Xu and Gang Wang and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Jun Yan

105 papers receiving 3.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jun Yan China 31 1.5k 672 669 587 559 111 3.5k
Tetsuya Kobayashi Japan 33 1.3k 0.9× 456 0.7× 390 0.6× 252 0.4× 602 1.1× 219 4.2k
Steven L. Coon United States 40 1.6k 1.1× 2.0k 2.9× 359 0.5× 315 0.5× 1.2k 2.2× 87 4.3k
Natasha A. Karp United Kingdom 30 2.0k 1.4× 717 1.1× 314 0.5× 823 1.4× 482 0.9× 71 4.5k
Scott W. Emmons United States 35 1.5k 1.0× 1.1k 1.7× 517 0.8× 390 0.7× 656 1.2× 76 3.9k
Su Guo United States 47 4.6k 3.1× 319 0.5× 356 0.5× 385 0.7× 1.1k 2.0× 134 8.0k
Ludger Rensing Germany 30 1.5k 1.0× 1.1k 1.6× 798 1.2× 439 0.7× 695 1.2× 130 3.5k
Yuichi Iino Japan 39 2.4k 1.6× 1.5k 2.2× 339 0.5× 521 0.9× 830 1.5× 256 6.0k
Elena O. Gracheva United States 35 1.7k 1.1× 239 0.4× 242 0.4× 868 1.5× 1.1k 2.0× 62 3.7k
Takashi Yoshimura Japan 44 1.1k 0.7× 3.0k 4.5× 468 0.7× 731 1.2× 1.2k 2.1× 193 6.2k

Countries citing papers authored by Jun Yan

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Yan. A scholar is included among the top collaborators of Jun Yan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun Yan. Jun Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Huang, Dengfeng, et al.. (2024). Zebrafish Dark‐Dependent Behavior Requires Phototransduction by the Pineal Gland. Journal of Pineal Research. 76(8). e70021–e70021.
2.
Sun, Hongmin, et al.. (2024). Genomic island-encoded LmiA regulates acid resistance and biofilm formation in enterohemorrhagic Escherichia coli O157:H7. Gut Microbes. 17(1). 2443107–2443107. 2 indexed citations
3.
Chen, Jiu, et al.. (2023). Cholecystokinin neurons in mouse suprachiasmatic nucleus regulate the robustness of circadian clock. Neuron. 111(14). 2201–2217.e4. 19 indexed citations
4.
Gao, Le, et al.. (2023). Single-neuron analysis of axon arbors reveals distinct presynaptic organizations between feedforward and feedback projections. Cell Reports. 43(1). 113590–113590. 6 indexed citations
5.
Sun, Wenjun, Ying Chen, Min Yao, et al.. (2022). CqZF-HD14 enhances drought tolerance in quinoa seedlings through interaction with CqHIPP34 and CqNAC79. Plant Science. 323. 111406–111406. 15 indexed citations
6.
Wu, Yirong, Liangyun Liu, Xiaofeng Li, Jean‐Philippe Gastellu‐Etchegorry, & Jun Yan. (2021). Journal of Remote Sensing: A Platform to Promote International High-Quality Research and Innovation. SHILAP Revista de lepidopterología. 2021. 1 indexed citations
7.
Fan, Yu, Dili Lai, Hao Yang, et al.. (2021). Genome-wide investigation of the GRAS transcription factor family in foxtail millet (Setaria italica L.). BMC Plant Biology. 21(1). 508–508. 28 indexed citations
8.
Zhao, Meng, et al.. (2020). Spatiotemporal single-cell analysis of gene expression in the mouse suprachiasmatic nucleus. Nature Neuroscience. 23(3). 456–467. 209 indexed citations
9.
Su, Peisen, Lanfei Zhao, Wen Li, et al.. (2020). Integrated metabolo‐transcriptomics and functional characterization reveals that the wheat auxin receptor TIR1 negatively regulates defense against Fusarium graminearum. Journal of Integrative Plant Biology. 63(2). 340–352. 74 indexed citations
10.
Ma, Zhixin, et al.. (2018). A Review of Community Detection Algorithms Based on Modularity Optimization. Journal of Physics Conference Series. 1069. 12123–12123. 10 indexed citations
11.
Liu, Zhen, Yao Xiao, Guang Yan, et al.. (2016). Mediator MED23 cooperates with RUNX2 to drive osteoblast differentiation and bone development. Nature Communications. 7(1). 11149–11149. 65 indexed citations
12.
Wang, Haifang, Meng Zhao, Juan Li, et al.. (2016). Oscillating primary transcripts harbor miRNAs with circadian functions. Scientific Reports. 6(1). 21598–21598. 32 indexed citations
13.
Wang, Degui, Tianyu Yu, Yongqiang Liu, et al.. (2016). DNA damage preceding dopamine neuron degeneration in A53T human α-synuclein transgenic mice. Biochemical and Biophysical Research Communications. 481(1-2). 104–110. 19 indexed citations
14.
He, Han, Chao Shen, Huaning Wang, et al.. (2016). Response of plasmaspheric configuration to substorms revealed by Chang’e 3. Scientific Reports. 6(1). 32362–32362. 20 indexed citations
15.
Liu, Yuting, Wenchao Hu, Yasuhiro Murakawa, et al.. (2013). Cold-induced RNA-binding proteins regulate circadian gene expression by controlling alternative polyadenylation. Scientific Reports. 3(1). 2054–2054. 143 indexed citations
16.
Zhou, Mi, Jun Yan, Zhaowu Ma, et al.. (2012). Comparative and Evolutionary Analysis of the HES/HEY Gene Family Reveal Exon/Intron Loss and Teleost Specific Duplication Events. PLoS ONE. 7(7). e40649–e40649. 25 indexed citations
17.
Zhang, Yan, et al.. (2012). Characteristics and Evaluation Parameters Associated with Cooking Quality of Chinese Fresh Noodle. ACTA AGRONOMICA SINICA. 38(11). 2078–2085. 1 indexed citations
18.
Zhai, Yougang, et al.. (2010). Isolation and identification of a novel subtype of Banna Virus in Gansu Province.. Zhongguo renshougonghuanbing zazhi. 26(4). 304–309. 2 indexed citations
19.
Yan, Jun. (2009). Construction and Application of Multiple PCR Rapid Detection for 5 Pathogenic Bacteria in Food. 1 indexed citations
20.
Yan, Jun & Thomas G. Marr. (2005). Computational analysis of 3′-ends of ESTs shows four classes of alternative polyadenylation in human, mouse, and rat. Genome Research. 15(3). 369–375. 85 indexed citations

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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