Jun Yan

4.6k total citations
134 papers, 3.3k citations indexed

About

Jun Yan is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Jun Yan has authored 134 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Plant Science, 26 papers in Molecular Biology and 22 papers in Genetics. Recurrent topics in Jun Yan's work include Wheat and Barley Genetics and Pathology (37 papers), interferon and immune responses (19 papers) and Genetic Mapping and Diversity in Plants and Animals (19 papers). Jun Yan is often cited by papers focused on Wheat and Barley Genetics and Pathology (37 papers), interferon and immune responses (19 papers) and Genetic Mapping and Diversity in Plants and Animals (19 papers). Jun Yan collaborates with scholars based in China, Israel and Mexico. Jun Yan's co-authors include Zhonghu He, Xianchun Xia, Jianwen Wang, Yong Zhang, Jindong Liu, Weie Wen, Chao Sun, Tzion Fahima, Weimin Zhu and Pingzhi Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Advanced Functional Materials.

In The Last Decade

Jun Yan

127 papers receiving 3.2k 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 34 2.0k 741 643 392 345 134 3.3k
Runzhi Li China 33 1.9k 0.9× 290 0.4× 1.6k 2.5× 152 0.4× 166 0.5× 174 3.4k
Xiaojie Wang China 45 4.0k 2.0× 184 0.2× 2.1k 3.3× 449 1.1× 199 0.6× 212 6.0k
Fábio O. Pedrosa Brazil 33 1.5k 0.8× 285 0.4× 1.6k 2.4× 92 0.2× 94 0.3× 162 3.5k
Peter Kamp Busk Denmark 31 1.9k 0.9× 239 0.3× 2.7k 4.2× 120 0.3× 66 0.2× 61 4.7k
Ying Li China 38 3.0k 1.5× 274 0.4× 2.6k 4.0× 52 0.1× 142 0.4× 223 4.6k
F. Caloni Italy 33 1.4k 0.7× 157 0.2× 605 0.9× 78 0.2× 146 0.4× 127 3.0k
Fang Chen China 31 1.4k 0.7× 203 0.3× 1.4k 2.1× 241 0.6× 52 0.2× 184 3.0k

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.
Yan, Jun, Jingbo Chen, Lizhong He, et al.. (2024). Characterisation of the volatile compounds in nine varieties and three breeding selections of celery using GC–IMS and GC–MS. Food Chemistry X. 24. 101936–101936. 4 indexed citations
2.
Gao, Yudong, Min Dai, Jun Yan, et al.. (2024). A case report of human infection with avian influenza H10N3 with a complex respiratory disease history. BMC Infectious Diseases. 24(1). 918–918. 3 indexed citations
3.
Liu, Ji, et al.. (2023). The phenylalanine-28 is crucial for black carp RIG-I mediated antiviral signaling. Developmental & Comparative Immunology. 148. 104917–104917. 2 indexed citations
4.
Yan, Jun, Enhui Wang, Jun Xiao, et al.. (2023). Black carp RNF5 inhibits STING/IFN signaling through promoting K48-linked ubiquitination and degradation of STING. Developmental & Comparative Immunology. 145. 104712–104712. 6 indexed citations
5.
Zhu, Zhanwang, Dejun Han, Jianhui Wu, et al.. (2023). Molecular characterization and validation of adult-plant stripe rust resistance gene Yr86 in Chinese wheat cultivar Zhongmai 895. Theoretical and Applied Genetics. 136(6). 142–142. 48 indexed citations
6.
Li, Faji, Weie Wen, Jindong Liu, et al.. (2019). Genetic architecture of grain yield in bread wheat based on genome-wide association studies. BMC Plant Biology. 19(1). 168–168. 156 indexed citations
7.
Zhang, Yong, De‐Shen Wang, Ling Huang, et al.. (2018). Pan Bread and Steamed Bread Qualities of Novel-Released Cultivars in Northern Winter Wheat Region of China. ACTA AGRONOMICA SINICA. 44(5). 697–705. 2 indexed citations
8.
Tian, Hao, Jun Yan, Wan Yi Li, & Jianwen Wang. (2018). Efficient degradation of triclosan by an endophytic fungus Penicillium oxalicum B4. Environmental Science and Pollution Research. 25(9). 8963–8975. 38 indexed citations
9.
Liu, Jindong, Zhonghu He, Awais Rasheed, et al.. (2017). Genome-wide association mapping of black point reaction in common wheat (Triticum aestivum L.). BMC Plant Biology. 17(1). 220–220. 91 indexed citations
10.
Yan, Jun, Yang Li, Hui Fan, et al.. (2016). IFNa of triploid hybrid of gold fish and allotetraploid is an antiviral cytokine against SVCV and GCRV. Fish & Shellfish Immunology. 54. 529–536. 15 indexed citations
11.
Yan, Jun, Yu Li, Jiping Xuan, et al.. (2016). De novo transcriptome sequencing and gene expression profiling of spinach (Spinacia oleracea L.) leaves under heat stress. Scientific Reports. 6(1). 19473–19473. 62 indexed citations
12.
Dong, Yan, Yan Zhang, Yonggui Xiao, et al.. (2016). Cloning of TaSST genes associated with water soluble carbohydrate content in bread wheat stems and development of a functional marker. Theoretical and Applied Genetics. 129(5). 1061–1070. 13 indexed citations
13.
Wang, Ru, et al.. (2013). QTL location and analysis of selenium content in tetraploid wheat grain.. Guizhou nongye kexue. 1–10. 4 indexed citations
14.
Yan, Jun, et al.. (2010). Effects of different N supply levels and methods on nodule growth and nitrogen fixation in soybean (Glycine max L.).. Jiangsu nongye xuebao. 26(1). 75–79.
15.
Yan, Jun & Deguang Yang. (2010). Comparison on N Utilization Efficiency of Four Maize Varieties. Yumi kexue. 18(2). 91–95.
16.
Yan, Jun, et al.. (2010). Effect of Sodium Selenate on Glutathione Peroxidase Activity of Different Wheat Varieties. Guizhou nongye kexue. 89–91. 1 indexed citations
17.
Yan, Jun, Jingbo Chen, Tingting Zhang, Jianxiu Liu, & Haibo Liu. (2009). Evaluation of Aluminum Tolerance and Nutrient Uptake of 50 Centipedegrass Accessions and Cultivars. HortScience. 44(3). 857–861. 10 indexed citations
18.
Zhang, Yelun, Jun Yan, Yong Zhang, et al.. (2008). QTL mapping for important quality traits in common wheat. Zhongguo nongye Kexue. 41(2). 331–339. 5 indexed citations
19.
Zhang, Pingping, Zhonghu He, Yan Zhang, et al.. (2007). Pan Bread and Chinese White Salted Noodle Qualities of Chinese Winter Wheat Cultivars and Their Relationship with Gluten Protein Fractions. Cereal Chemistry. 84(4). 370–378. 50 indexed citations
20.
Li, Liu, et al.. (2005). Allelic variation at the Glu-1 and Glu-3 loci and presence of 1B/1R translocation, and their effects on processing quality in cultivars and advanced lines from autumn-sown wheat regions in China. Zhongguo nongye Kexue. 38(10). 1944–1950. 5 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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