Zhenxin Fan

3.4k total citations
102 papers, 1.5k citations indexed

About

Zhenxin Fan is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Zhenxin Fan has authored 102 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Molecular Biology, 37 papers in Genetics and 13 papers in Ecology. Recurrent topics in Zhenxin Fan's work include Genomics and Phylogenetic Studies (29 papers), Genetic diversity and population structure (20 papers) and Gut microbiota and health (14 papers). Zhenxin Fan is often cited by papers focused on Genomics and Phylogenetic Studies (29 papers), Genetic diversity and population structure (20 papers) and Gut microbiota and health (14 papers). Zhenxin Fan collaborates with scholars based in China, United States and Portugal. Zhenxin Fan's co-authors include Bisong Yue, Robert K. Wayne, Xiuyue Zhang, Bridgett M. vonHoldt, Jacqueline A. Robinson, Diego Ortega‐Del Vecchyo, Lianming Du, John P. Pollinger, Shaoying Liu and Bernard Kim and has published in prestigious journals such as PLoS ONE, Current Biology and Scientific Reports.

In The Last Decade

Zhenxin Fan

93 papers receiving 1.4k citations

Peers

Zhenxin Fan

GENET

ECOLO

EEBS

Stephen D. Johnston Australia

Khurram Maqbool Sweden

James N. Derr United States

Erik Axelsson Sweden

Frank Hailer United Kingdom

Olivier Verneau France

Hang Lee South Korea

Joerns Fickel Germany

Hannes Svardal Belgium

Daren C. Card United States

Stephen D. Johnston Australia

Zhenxin Fan

778 ×0.9

GENET

565 ×1.0

670 ×1.4

ECOLO

222 ×1.1

EEBS

174 ×1.5

Citations per year, relative to Zhenxin Fan Zhenxin Fan (= 1×) peers Stephen D. Johnston

Countries citing papers authored by Zhenxin Fan

Since Specialization

Citations

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

Fields of papers citing papers by Zhenxin Fan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenxin Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenxin Fan. A scholar is included among the top collaborators of Zhenxin Fan 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 Zhenxin Fan. Zhenxin Fan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Tan, Li, H. J. Yang, Yilong Chen, et al.. (2025). Gut microbiota dysbiosis and metabolic perturbations of bile/glyceric acids in major depressive disorder with IBS comorbidity. mBio. 16(11). e0244725–e0244725.

Luo, Chao, Xue Dong, Yi Li, et al.. (2025). Vaginal Weissella confusa MV0113 suppresses pathogens and restores microbiota to alleviate bacterial vaginosis: integrated genomic and in vivo evidence. BMC Microbiology. 26(1). 51–51.

Fan, Zhenxin, et al.. (2024). Differences in Gut Microbial Composition and Characteristics Among Three Populations of the Bamboo Pitviper (Viridovipera stejnegeri). Ecology and Evolution. 14(12). e70742–e70742. 1 indexed citations

Gao, Zhan, Ling Cao, Meng Yang, et al.. (2023). Analysis of coexisting pathogens in nasopharyngeal swabs from COVID-19. Frontiers in Cellular and Infection Microbiology. 13. 1140548–1140548. 2 indexed citations

Liu, Jialing, Jiyang Jiang, Yue Lan, et al.. (2023). Metagenomic analysis of oral and intestinal microbiome of patients during the initial stage of orthodontic treatment. American Journal of Orthodontics and Dentofacial Orthopedics. 165(2). 161–172.e3. 3 indexed citations

Li, Wanyu, Yue Lan, Lei Wang, et al.. (2022). Comparative transcriptomes of nine tissues for the Heilongjiang brown frog (Rana amurensis). Scientific Reports. 12(1). 20759–20759. 4 indexed citations

Yang, Shengzhi, Yu Liu, Nan Yang, et al.. (2022). The gut microbiome and antibiotic resistome of chronic diarrhea rhesus macaques (Macaca mulatta) and its similarity to the human gut microbiome. Microbiome. 10(1). 29–29. 43 indexed citations

Sun, Jie, Fujun Shen, Liang Zhang, et al.. (2021). Changes in the MicroRNA Profile of the Giant Panda After Canine Distemper Vaccination and the Integrated Analysis of MicroRNA-Messenger RNA. DNA and Cell Biology. 40(4). 595–605. 3 indexed citations

Li, Jing, Zhenxin Fan, Amanda L. Pendleton, et al.. (2020). Genomic Copy Number Variation Study of Nine Macaca Species Provides New Insights into Their Genetic Divergence, Adaptation, and Biomedical Application. Genome Biology and Evolution. 12(12). 2211–2230. 8 indexed citations

10.

Liu, Hua, et al.. (2020). Characterization of the primate TRIM gene family reveals the recent evolution in primates. Molecular Genetics and Genomics. 295(5). 1281–1294. 3 indexed citations

11.

Zhang, Liang, Chaochao Yan, Peng Jiang, et al.. (2020). Age-related gene expression and DNA methylation changes in rhesus macaque. Genomics. 112(6). 5147–5156. 13 indexed citations

12.

Du, Lianming, Qin Liu, Kelei Zhao, et al.. (2019). PSMD: An extensive database for pan‐species microsatellite investigation and marker development. Molecular Ecology Resources. 20(1). 283–291. 12 indexed citations

13.

Li, Jing, et al.. (2018). Comparative Genome-Wide Survey of Single Nucleotide Variation Uncovers the Genetic Diversity and Potential Biomedical Applications among Six Macaca Species. International Journal of Molecular Sciences. 19(10). 3123–3123. 2 indexed citations

14.

Li, Peng, Lianming Du, Wujiao Li, et al.. (2017). Generation and characterization of the blood transcriptome of Macaca thibetana and comparative analysis with M. mulatta. Molecular BioSystems. 13(6). 1121–1130. 5 indexed citations

15.

Serres‐Armero, Aitor, Inna Povolotskaya, Javier Quilez, et al.. (2017). Similar genomic proportions of copy number variation within gray wolves and modern dog breeds inferred from whole genome sequencing. BMC Genomics. 18(1). 977–977. 20 indexed citations

16.

Jiang, Juan, Jing Li, Zhenxin Fan, et al.. (2016). Mitochondrial Genome and Nuclear Markers Provide New Insight into the Evolutionary History of Macaques. PLoS ONE. 11(5). e0154665–e0154665. 21 indexed citations

17.

Fan, Zhenxin, Guang Zhao, Jing Li, et al.. (2014). Whole-Genome Sequencing of Tibetan Macaque (Macaca thibetana) Provides New Insight into the Macaque Evolutionary History. Molecular Biology and Evolution. 31(6). 1475–1489. 38 indexed citations

18.

Yang, Liu, et al.. (2013). A new species of Uropsilus(Talpidae:Uropsilinae)from Sichuan,China. ACTA THERIOLOGICA SINICA. 33(2). 113. 7 indexed citations

19.

Fan, Zhenxin, et al.. (2011). Complete mitochondrial genome sequence of the Chinese scrub vole (Neodon irene). Mitochondrial DNA. 22(3). 50–52. 11 indexed citations

20.

Li, Weiwei, Xiuyue Zhang, Zhenxin Fan, et al.. (2010). Structural Characteristics and Phylogenetic Analysis of the Mitochondrial Genome of the Sugarcane Borer, Diatraea saccharalis (Lepidoptera: Crambidae). DNA and Cell Biology. 30(1). 3–8. 42 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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