1.5k total citations 54 papers, 1.1k citations indexed
About
Weixing Fan is a scholar working on Epidemiology, Infectious Diseases and Small Animals.
According to data from OpenAlex, Weixing Fan has authored 54 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Epidemiology, 11 papers in Infectious Diseases and 10 papers in Small Animals. Recurrent topics in Weixing Fan's work include Brucella: diagnosis, epidemiology, treatment (10 papers), Burkholderia infections and melioidosis (8 papers) and Tryptophan and brain disorders (8 papers). Weixing Fan is often cited by papers focused on Brucella: diagnosis, epidemiology, treatment (10 papers), Burkholderia infections and melioidosis (8 papers) and Tryptophan and brain disorders (8 papers). Weixing Fan collaborates with scholars based in China, Egypt and Saint Kitts and Nevis. Weixing Fan's co-authors include Wei Tang, Chen Zhang, Rong Wei, Xinyu Fang, Jun Cai, Dongdong Di, Lisheng Song, Chengming Wang, Weina Guo and Bernhard Kaltenboeck and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.
In The Last Decade
Weixing Fan
54 papers
receiving
1.1k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Weixing 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 Weixing Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weixing Fan more than expected).
This network shows the impact of papers produced by Weixing 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 Weixing Fan. The network helps show where Weixing Fan may publish in the future.
Co-authorship network of co-authors of Weixing Fan
This figure shows the co-authorship network connecting the top 25 collaborators of Weixing Fan.
A scholar is included among the top collaborators of Weixing 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 Weixing Fan. Weixing Fan is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Fan, Weixing. (2011). Establishment and Application of the Triplex PCR for Detecting M. Bovis,M. mycoides subsp. mycoides Small Colony Type and M. agalactiae. Xumu shouyi xuebao.2 indexed citations
15.
Fan, Weixing. (2010). Detection of the Streptococcus suis of Clinical Healthy Pigs in Chongqing. Xumu shouyi xuebao.1 indexed citations
16.
Yan, Li, et al.. (2010). The genotyping of Mycobacterium bovis isolated from Xinjiang region with MIRU-VNTR. Zhongguo yufang shouyi xuebao. 32(7). 524–528.1 indexed citations
17.
Qi, Robert Z., et al.. (2009). Isolation and identification of Brucella in two dairies and comparison of four serological tests.. Zhongguo renshougonghuanbing zazhi. 25(5). 456–459.1 indexed citations
18.
Fan, Weixing. (2004). Isolation and Identification of Type A Swine Influenza Virus from Shandong Province and Sequence Analysis of It's HA Gene.1 indexed citations
19.
Fan, Weixing, et al.. (2004). Isolation and identification of type A swine influenza virus from Shandong Province and sequence analysis of HA gene. Virologica Sinica. 19(1). 27–31.1 indexed citations
20.
Jiang, Yan, et al.. (2002). Cloning and Sequencing Analysis of gI Gene of Pseudorabies Virus. Progress in Veterinary Medicine. 23(2). 63–65.1 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.