Song-Ming Wu

413 total citations
13 papers, 348 citations indexed

About

Song-Ming Wu is a scholar working on Parasitology, Epidemiology and Microbiology. According to data from OpenAlex, Song-Ming Wu has authored 13 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Parasitology, 8 papers in Epidemiology and 3 papers in Microbiology. Recurrent topics in Song-Ming Wu's work include Herpesvirus Infections and Treatments (8 papers), Toxoplasma gondii Research Studies (8 papers) and Parasitic Infections and Diagnostics (8 papers). Song-Ming Wu is often cited by papers focused on Herpesvirus Infections and Treatments (8 papers), Toxoplasma gondii Research Studies (8 papers) and Parasitic Infections and Diagnostics (8 papers). Song-Ming Wu collaborates with scholars based in China, United Kingdom and Egypt. Song-Ming Wu's co-authors include Dong‐Hui Zhou, Xing‐Quan Zhu, Si‐Yang Huang, Minjun Xu, Hui‐Qun Song, Bao‐Quan Fu, Feng‐Cai Zou, Xingquan Zhu, Zi‐Guo Yuan and Ya‐Biao Weng and has published in prestigious journals such as Journal of Parasitology, Parasites & Vectors and Experimental Parasitology.

In The Last Decade

Song-Ming Wu

13 papers receiving 343 citations

Peers

Song-Ming Wu
Song-Ming Wu
Citations per year, relative to Song-Ming Wu Song-Ming Wu (= 1×) peers William Alberto Cañón-Franco

Countries citing papers authored by Song-Ming Wu

Since Specialization
Citations

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

Fields of papers citing papers by Song-Ming Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Song-Ming Wu. 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 Song-Ming Wu. The network helps show where Song-Ming Wu may publish in the future.

Co-authorship network of co-authors of Song-Ming Wu

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

All Works

13 of 13 papers shown
1.
Chen, Ruiai, Wenli Wang, Rui-Qing Lin, et al.. (2016). Observation of the excretion pattern of a precocious line of Eimeria necatrix and the strengthening of immune homogeneity. Experimental Parasitology. 164. 79–83. 4 indexed citations
2.
Zhang, Nian‐Zhang, Dong‐Hui Zhou, Alasdair J. Nisbet, et al.. (2013). First Report of Chlamydiaceae Seroprevalence in Tibetan Pigs in Tibet, China. Vector-Borne and Zoonotic Diseases. 13(3). 196–199. 17 indexed citations
3.
Wu, Song-Ming, Siyang Huang, Minjun Xu, et al.. (2013). Chlamydia felis exposure in companion dogs and cats in Lanzhou, China: a public health concern. BMC Veterinary Research. 9(1). 104–104. 25 indexed citations
4.
Wu, Song-Ming, et al.. (2013). First record of Chlamydia abortus seroprevalence in Tibetan sheep in Tibet, China. Small Ruminant Research. 112(1-3). 243–245. 17 indexed citations
5.
Qiu, Jianhua, Chun‐Ren Wang, Xu Zhang, et al.. (2012). Seroprevalence of Toxoplasma gondii in Beef Cattle and Dairy Cattle in Northeast China. Foodborne Pathogens and Disease. 9(7). 579–582. 16 indexed citations
6.
Wu, Song-Ming, Si‐Yang Huang, Minjun Xu, et al.. (2012). First Report of Toxoplasma gondii Prevalence in Tibetan Pigs in Tibet, China. Vector-Borne and Zoonotic Diseases. 12(8). 654–656. 19 indexed citations
7.
Cong, Wei, Si‐Yang Huang, Dong‐Hui Zhou, et al.. (2012). First report of Toxoplasma gondii infection in market-sold adult chickens, ducks and pigeons in northwest China. Parasites & Vectors. 5(1). 110–110. 33 indexed citations
8.
Huang, Si‐Yang, Wei Cong, Peng Zhou, et al.. (2012). First Report of Genotyping of Toxoplasma gondii Isolates From Wild Birds in China. Journal of Parasitology. 98(3). 681–682. 45 indexed citations
9.
Wu, Song-Ming, Si‐Yang Huang, Delin Zhang, et al.. (2011). Seroprevalence of Toxoplasma gondii Infection in Tibetan Sheep in Tibet, China. Journal of Parasitology. 97(6). 1188–1189. 18 indexed citations
10.
Huang, Si‐Yang, Guang‐Hui Zhao, Bao‐Quan Fu, et al.. (2011). Genomics and molecular genetics of Clonorchis sinensis: Current status and perspectives. Parasitology International. 61(1). 71–76. 32 indexed citations
11.
Wu, Song-Ming, Si‐Yang Huang, Bao‐Quan Fu, et al.. (2011). Seroprevalence of Toxoplasma gondii infection in pet dogs in Lanzhou, Northwest China. Parasites & Vectors. 4(1). 118–118. 69 indexed citations
12.
Wu, Song-Ming, Xingquan Zhu, Dong‐Hui Zhou, et al.. (2011). Seroprevalence of Toxoplasma gondii infection in household and stray cats in Lanzhou, northwest China. Parasites & Vectors. 4(1). 31 indexed citations
13.
He, Yong, Dong‐Hui Zhou, Chao Yan, et al.. (2010). Seroprevalence of Toxoplasma gondii in Rats in Southern China. Journal of Parasitology. 96(6). 1233–1234. 22 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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