Fengjun Zhang

502 total citations
31 papers, 373 citations indexed

About

Fengjun Zhang is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Fengjun Zhang has authored 31 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Plant Science and 6 papers in Genetics. Recurrent topics in Fengjun Zhang's work include Plant Pathogens and Resistance (5 papers), Genomics and Phylogenetic Studies (4 papers) and Plant Disease Resistance and Genetics (4 papers). Fengjun Zhang is often cited by papers focused on Plant Pathogens and Resistance (5 papers), Genomics and Phylogenetic Studies (4 papers) and Plant Disease Resistance and Genetics (4 papers). Fengjun Zhang collaborates with scholars based in China, United Kingdom and Germany. Fengjun Zhang's co-authors include Qiuping Liu, Jingming Li, Jian‐xing Ma, Xian Zhang, Rui Cheng, Jinglin Yi, Zewei Luo, Lindsey Leach, Lin Zhang and Shuang Zhong and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Fengjun Zhang

30 papers receiving 367 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fengjun Zhang China 11 151 56 49 43 43 31 373
Liqin Wang China 12 153 1.0× 62 1.1× 17 0.3× 18 0.4× 17 0.4× 38 655
Jung-Ah Shin South Korea 10 102 0.7× 22 0.4× 21 0.4× 15 0.3× 25 0.6× 26 373
Jia Xu China 13 118 0.8× 53 0.9× 47 1.0× 162 3.8× 27 0.6× 50 595
Yujian Sang China 12 88 0.6× 18 0.3× 50 1.0× 53 1.2× 14 0.3× 19 357
Jingyang Liu China 13 185 1.2× 93 1.7× 59 1.2× 33 0.8× 21 0.5× 41 505
Heyun Zhang China 15 284 1.9× 52 0.9× 71 1.4× 4 0.1× 11 0.3× 47 653
Fei Cao China 9 153 1.0× 41 0.7× 63 1.3× 10 0.2× 6 0.1× 25 393
Jiawei Gao China 10 86 0.6× 31 0.6× 38 0.8× 2 0.0× 6 0.1× 33 341
Wenmin Li China 10 73 0.5× 15 0.3× 13 0.3× 32 0.7× 3 0.1× 26 567

Countries citing papers authored by Fengjun Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Fengjun Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengjun Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Fengjun Zhang. A scholar is included among the top collaborators of Fengjun Zhang 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 Fengjun Zhang. Fengjun Zhang 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.
Deng, Tingting, et al.. (2025). Association between air pollution and osteoporosis: A Mendelian randomization study. Medicine. 104(8). e41490–e41490. 1 indexed citations
2.
Wang, Xiaoqing, Xiao Li, Lin Tan, et al.. (2024). Identification and Validation of Lipid Metabolism Gene FASN-Associated miRNA in Wilms Tumor. Biochemical Genetics. 63(1). 167–182. 2 indexed citations
3.
Zhang, Fengjun, et al.. (2023). Causality Between Heart Failure and Epigenetic Age: A Bidirectional Mendelian Randomization Study. ESC Heart Failure. 10(5). 2903–2913. 18 indexed citations
4.
5.
Churakov, Gennady, et al.. (2022). A 4-lineage Statistical Suite to Evaluate the Support of Large-Scale Retrotransposon Insertion Data to Reconstruct Evolutionary Trees. Systematic Biology. 72(3). 649–661. 4 indexed citations
6.
Zhang, Fengjun, Shuai Wang, Qiong Zhao, et al.. (2022). Machine learning and bioinformatics to identify 8 autophagy-related biomarkers and construct gene regulatory networks in dilated cardiomyopathy. Scientific Reports. 12(1). 15030–15030. 12 indexed citations
7.
Zhang, Fengjun, et al.. (2022). ExoPLOT: Representation of alternative splicing in human tissues and developmental stages with transposed element (TE) involvement. Genomics. 114(4). 110434–110434. 2 indexed citations
8.
Zhang, Fengjun, Cheng Yu, Xiao Li, et al.. (2022). Identification of critical genes and molecular pathways in COVID-19 myocarditis and constructing gene regulatory networks by bioinformatic analysis. PLoS ONE. 17(6). e0269386–e0269386. 10 indexed citations
9.
Zou, Qiong, Fengjun Zhang, & Qiuping Liu. (2022). Efficacy evaluation of intravitreal ranibizumab therapy for three types of retinopathy of prematurity. International Journal of Ophthalmology. 15(5). 753–759. 7 indexed citations
10.
Wang, Lin, et al.. (2021). Sequence coverage required for accurate genotyping by sequencing in polyploid species. Molecular Ecology Resources. 22(4). 1417–1426. 3 indexed citations
11.
Ou, Fang, et al.. (2020). Genome Duplication Increases Meiotic Recombination Frequency: A Saccharomyces cerevisiae Model. Molecular Biology and Evolution. 38(3). 777–787. 1 indexed citations
12.
Churakov, Gennady, Fengjun Zhang, Norbert Grundmann, et al.. (2020). The multicomparative 2-n-way genome suite. Genome Research. 30(10). 1508–1516. 11 indexed citations
13.
Chen, Jing, et al.. (2020). A tetrasomic inheritance model and likelihood‐based method for mapping quantitative trait loci in autotetraploid species. New Phytologist. 230(1). 387–398. 6 indexed citations
14.
Zhang, Fengjun, et al.. (2019). Nitrogen Biogeochemistry of Anaerobic Biodegradation of Naphthalene. Water Air & Soil Pollution. 230(9). 5 indexed citations
15.
Liu, Qiuping, Fengjun Zhang, Xian Zhang, et al.. (2017). Fenofibrate ameliorates diabetic retinopathy by modulating Nrf2 signaling and NLRP3 inflammasome activation. Molecular and Cellular Biochemistry. 445(1-2). 105–115. 77 indexed citations
16.
Xi, Fu, Fengjun Zhang, Shugo Watabe, & Shuichi Asakawa. (2017). Immunoglobulin light chain (IGL) genes in torafugu: Genomic organization and identification of a third teleost IGL isotype. Scientific Reports. 7(1). 40416–40416. 4 indexed citations
17.
Xu, Man, et al.. (2016). Donepezil delays photoreceptor apoptosis induced by N-methyl-N-nitrosourea in mice. Experimental and Therapeutic Medicine. 11(6). 2446–2454. 1 indexed citations
18.
Jiang, Ning, Fengjun Zhang, Jinhua Wu, et al.. (2016). A highly robust and optimized sequence-based approach for genetic polymorphism discovery and genotyping in large plant populations. Theoretical and Applied Genetics. 129(9). 1739–1757. 6 indexed citations
19.
Zhong, Shuang, Hui Geng, Fengjun Zhang, et al.. (2015). Risk Assessment and Prediction of Heavy Metal Pollution in Groundwater and River Sediment: A Case Study of a Typical Agricultural Irrigation Area in Northeast China. SHILAP Revista de lepidopterología. 2015. 1–11. 36 indexed citations
20.
Wang, Shuping, et al.. (2013). Proteomic analysis of leaves of different wheat genotypes subjected to PEG 6000 stress and rewatering. Plant Omics. 6(4). 286–294. 19 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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