Daxi Wang

744 total citations
14 papers, 99 citations indexed

About

Daxi Wang is a scholar working on Parasitology, Small Animals and Ecology. According to data from OpenAlex, Daxi Wang has authored 14 papers receiving a total of 99 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Parasitology, 5 papers in Small Animals and 4 papers in Ecology. Recurrent topics in Daxi Wang's work include Parasites and Host Interactions (5 papers), Helminth infection and control (5 papers) and Parasite Biology and Host Interactions (4 papers). Daxi Wang is often cited by papers focused on Parasites and Host Interactions (5 papers), Helminth infection and control (5 papers) and Parasite Biology and Host Interactions (4 papers). Daxi Wang collaborates with scholars based in China, Australia and Botswana. Daxi Wang's co-authors include Pasi K. Korhonen, Robin B. Gasser, Neil D. Young, Anson V. Koehler, Woon‐Mok Sohn, Hao Zhu, Yuejie Zheng, Shuangcheng Li, Qiang Zeng and Dongfang Li and has published in prestigious journals such as Molecular Ecology, Biotechnology Advances and mBio.

In The Last Decade

Daxi Wang

11 papers receiving 98 citations

Peers

Daxi Wang
Monica Bhatia United States
Daxi Wang
Citations per year, relative to Daxi Wang Daxi Wang (= 1×) peers Monica Bhatia

Countries citing papers authored by Daxi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Daxi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daxi Wang

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

All Works

14 of 14 papers shown
1.
Wang, Daxi, Z. Y. Ren, Yepin Yu, et al.. (2025). Host Specificity and Geographic Dispersion Shape Virome Diversity in Rhinolophus Bats. Molecular Ecology. 34(4). e17645–e17645.
2.
3.
Zhu, Wei, Daxi Wang, Pengsong Li, Haohui Deng, & Ziqing Deng. (2025). Advances in Wastewater-Based Epidemiology for Pandemic Surveillance: Methodological Frameworks and Future Perspectives. Microorganisms. 13(5). 1169–1169. 1 indexed citations
4.
Kinkar, Liina, Pasi K. Korhonen, Urmas Saarma, et al.. (2023). Genome‐wide exploration reveals distinctive northern and southern variants of Clonorchis sinensis in the Far East. Molecular Ecology Resources. 23(4). 833–843. 4 indexed citations
5.
Korhonen, Pasi K., Noel G. Faux, Liina Kinkar, et al.. (2022). Escalibur”—A practical pipeline for the de novo analysis of nucleotide variation in nonmodel eukaryotes. Molecular Ecology Resources. 22(5). 2120–2126. 3 indexed citations
6.
Ding, Peiwen, Chengcheng Sun, Daxi Wang, et al.. (2022). Comparative analysis of single cell lung atlas of bat, cat, tiger, and pangolin. Cell Biology and Toxicology. 39(5). 2431–2435. 3 indexed citations
7.
Zhao, Yanping, Jiandong Li, Gongsang Quzhen, et al.. (2022). Echinococcus spp. and genotypes infecting humans in Tibet Autonomous Region of China: a molecular investigation with near-complete/complete mitochondrial sequences. Parasites & Vectors. 15(1). 75–75. 10 indexed citations
8.
Zeng, Qiang, Fei Wang, Dongfang Li, et al.. (2021). Association between metabolic status and gut microbiome in obese populations. Microbial Genomics. 7(8). 13 indexed citations
9.
Kinkar, Liina, Pasi K. Korhonen, Daxi Wang, et al.. (2020). Marked mitochondrial genetic variation in individuals and populations of the carcinogenic liver fluke Clonorchis sinensis. PLoS neglected tropical diseases. 14(8). e0008480–e0008480. 7 indexed citations
11.
Wang, Daxi, Neil D. Young, Pasi K. Korhonen, & Robin B. Gasser. (2018). Clonorchis sinensis and Clonorchiasis: The Relevance of Exploring Genetic Variation. Advances in Parasitology. 100. 155–208. 22 indexed citations
12.
Wang, Daxi, Pasi K. Korhonen, Robin B. Gasser, & Neil D. Young. (2018). Improved genomic resources and new bioinformatic workflow for the carcinogenic parasite Clonorchis sinensis: Biotechnological implications. Biotechnology Advances. 36(4). 894–904. 20 indexed citations
13.
Wang, Daxi, Neil D. Young, Anson V. Koehler, et al.. (2017). Mitochondrial genomic comparison of Clonorchis sinensis from South Korea with other isolates of this species. Infection Genetics and Evolution. 51. 160–166. 9 indexed citations
14.
Zhu, Henan, Ziwei Zhou, Daxi Wang, Wenyin Liu, & Hao Zhu. (2013). Hippo pathway genes developed varied exon numbers and coevolved functional domains in metazoans for species specific growth control. BMC Evolutionary Biology. 13(1). 76–76. 7 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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