Xiaojin Mo

464 total citations
29 papers, 297 citations indexed

About

Xiaojin Mo is a scholar working on Parasitology, Ecology and Pathology and Forensic Medicine. According to data from OpenAlex, Xiaojin Mo has authored 29 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Parasitology, 12 papers in Ecology and 10 papers in Pathology and Forensic Medicine. Recurrent topics in Xiaojin Mo's work include Parasites and Host Interactions (15 papers), Parasite Biology and Host Interactions (12 papers) and Parasitic infections in humans and animals (10 papers). Xiaojin Mo is often cited by papers focused on Parasites and Host Interactions (15 papers), Parasite Biology and Host Interactions (12 papers) and Parasitic infections in humans and animals (10 papers). Xiaojin Mo collaborates with scholars based in China, Australia and United States. Xiaojin Mo's co-authors include Wei Hu, Zheng Feng, Donald P. McManus, Jipeng Wang, Mingbo Yin, Bin Xu, Paul J. Brindley, Bin Xu, Chuan Ju and Xiao‐Nong Zhou and has published in prestigious journals such as Nature Communications, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Xiaojin Mo

23 papers receiving 296 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaojin Mo China 10 240 180 63 61 46 29 297
Bárbara C. Figueiredo Brazil 12 254 1.1× 148 0.8× 50 0.8× 106 1.7× 19 0.4× 15 316
Win Pa Pa Aung Thailand 9 142 0.6× 146 0.8× 93 1.5× 18 0.3× 36 0.8× 22 282
Hongxiao Han China 11 289 1.2× 175 1.0× 36 0.6× 68 1.1× 22 0.5× 21 349
Chao-Ming Xia China 8 257 1.1× 181 1.0× 92 1.5× 69 1.1× 17 0.4× 15 332
Loc Le United States 12 335 1.4× 233 1.3× 71 1.1× 130 2.1× 15 0.3× 21 381
Xue Haichou China 9 262 1.1× 178 1.0× 98 1.6× 23 0.4× 55 1.2× 14 318
Volker Wippersteg Germany 10 353 1.5× 224 1.2× 51 0.8× 68 1.1× 17 0.4× 10 404
Maria Habib India 9 208 0.9× 97 0.5× 51 0.8× 78 1.3× 10 0.2× 17 378
Shin‐Yong Kang South Korea 12 301 1.3× 206 1.1× 127 2.0× 19 0.3× 116 2.5× 14 392
Verena Gelmedin Germany 11 248 1.0× 122 0.7× 37 0.6× 26 0.4× 212 4.6× 15 379

Countries citing papers authored by Xiaojin Mo

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojin Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojin Mo

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojin Mo. A scholar is included among the top collaborators of Xiaojin Mo 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 Xiaojin Mo. Xiaojin Mo 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.
Jiang, Tingting, Shuai Han, Xiaoying Wu, et al.. (2025). Development and protective efficacy of multi-epitope vaccine FL46 against cystic echinococcosis. Frontiers in Immunology. 16. 1686959–1686959.
2.
3.
Lu, Zhixin, Xiaojin Mo, Ting Zhang, et al.. (2025). Serum IgG galactosylation as a potential biomarker for the diagnosis of echinococcosis. The Analyst. 150(10). 2058–2065.
4.
Cui, Xiuji, Xiaolong Ma, Na Liu, et al.. (2024). [Spatiotemporal distribution of newly diagnosed echinococcosis patients in Qinghai Province from 2016 to 2022].. PubMed. 36(5). 474–480. 1 indexed citations
5.
Mo, Xiaojin, et al.. (2023). IgG glycomic profiling identifies potential biomarkers for diagnosis of echinococcosis. Journal of Chromatography B. 1227. 123838–123838. 2 indexed citations
6.
Luo, Fang, Wen‐Bin Yang, Mingbo Yin, et al.. (2022). A chromosome-level genome of the human blood fluke Schistosoma japonicum identifies the genomic basis of host-switching. Cell Reports. 39(1). 110638–110638. 15 indexed citations
7.
Gao, Haijun, Xiaojin Mo, Bin Jiang, et al.. (2022). Suppressive effect of pseudolaric acid B on Echinococcus multilocularis involving regulation of TGF-β1 signaling in vitro and in vivo. Frontiers in Microbiology. 13. 1008274–1008274. 6 indexed citations
8.
Yan, Shuai, Junrui Zhang, Xiaojin Mo, et al.. (2021). Epidemiological survey of human echinococcosis in east Gansu, China. Scientific Reports. 11(1). 6373–6373. 5 indexed citations
9.
Mo, Xiaojin, Shuai Yan, Bin Xu, et al.. (2020). Multiplex cytokine and antibody profile in cystic echinococcosis patients during a three-year follow-up in reference to the cyst stages. Parasites & Vectors. 13(1). 133–133. 21 indexed citations
10.
Feng, Xinyu, Zhiqiang Qin, Xiaojin Mo, et al.. (2020). Temporal transcriptome change of Oncomelania hupensis revealed by Schistosoma japonicum invasion. Cell & Bioscience. 10(1). 58–58. 12 indexed citations
11.
Wang, Jipeng, Jian Li, Xiaojin Mo, et al.. (2020). Schistosoma japonicum cathepsin B2 (SjCB2) facilitates parasite invasion through the skin. PLoS neglected tropical diseases. 14(10). e0008810–e0008810. 17 indexed citations
12.
Luo, Fang, Mingbo Yin, Xiaojin Mo, et al.. (2019). An improved genome assembly of the fluke Schistosoma japonicum. PLoS neglected tropical diseases. 13(8). e0007612–e0007612. 41 indexed citations
13.
Zhang, Ting, Xiaojin Mo, Bin Xu, et al.. (2018). Enzyme activity of Schistosoma japonicum cercarial elastase SjCE-2b ascertained by in vitro refolded recombinant protein. Acta Tropica. 187. 15–22. 7 indexed citations
14.
Wang, Jipeng, Ying Yu, Hai‐Mo Shen, et al.. (2017). Dynamic transcriptomes identify biogenic amines and insect-like hormonal regulation for mediating reproduction in Schistosoma japonicum. Nature Communications. 8(1). 14693–14693. 60 indexed citations
15.
Li, Yaqi, Mingbo Yin, Donald P. McManus, et al.. (2017). Genetic diversity and selection of three nuclear genes in Schistosoma japonicum populations. Parasites & Vectors. 10(1). 87–87. 9 indexed citations
16.
Chen, Jun‐Hu, Ting Zhang, Chuan Ju, et al.. (2014). An integrated immunoproteomics and bioinformatics approach for the analysis of Schistosoma japonicum tegument proteins. Journal of Proteomics. 98. 289–299. 29 indexed citations
17.
Xu, Bin, Chuan Ju, Xiaojin Mo, et al.. (2012). Identification and profiling of circulating antigens by screening with the sera from schistosomiasis japonica patients. Parasites & Vectors. 5(1). 115–115. 12 indexed citations
18.
Peng, Jinbiao, Chuan Ju, Bin Xu, et al.. (2012). Comparative Immunomic Analysis of Schistosoma japonicum Soluble Egg Antigens Reacting with Patient Sera Before and after Praziquantel Treatment. Journal of Animal and Veterinary Advances. 11(15). 2828–2838. 2 indexed citations
19.
Mo, Xiaojin, et al.. (2011). [Application and progress of fluorescence in situ hybridization in schistosome biology].. PubMed. 29(3). 224–8, 232. 1 indexed citations
20.
Yin, Mingbo, Wei Hu, Xiaojin Mo, et al.. (2008). Multiple near-identical genotypes of Schistosoma japonicum can occur in snails and have implications for population-genetic analyses. International Journal for Parasitology. 38(14). 1681–1691. 37 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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