Jiajun Wu

56 total papers · 1.0k total citations
45 papers, 724 citations indexed

About

Jiajun Wu is a scholar working on Animal Science and Zoology, Infectious Diseases and Genetics. According to data from OpenAlex, Jiajun Wu has authored 45 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Animal Science and Zoology, 14 papers in Infectious Diseases and 13 papers in Genetics. Recurrent topics in Jiajun Wu's work include Animal Virus Infections Studies (16 papers), Viral gastroenteritis research and epidemiology (12 papers) and Virus-based gene therapy research (11 papers). Jiajun Wu is often cited by papers focused on Animal Virus Infections Studies (16 papers), Viral gastroenteritis research and epidemiology (12 papers) and Virus-based gene therapy research (11 papers). Jiajun Wu collaborates with scholars based in China, United States and Czechia. Jiajun Wu's co-authors include Kegong Tian, Xiuling Yu, Lilin Wang, Nanhua Chen, Zhen Cao, Xinyan Zhai, Zhi Zhou, Chuanbin Wang, Wei Han and Jianqiang Ni and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Virology.

In The Last Decade

Jiajun Wu

40 papers receiving 717 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jiajun Wu	461	358	326	127	106	45	724
Yankuo Sun	391 0.8×	297 0.8×	292 0.9×	146 1.1×	123 1.2×	43	657
Sang‐Ho Cha	427 0.9×	410 1.1×	296 0.9×	124 1.0×	132 1.2×	32	710
Kenji Kawashima	438 1.0×	336 0.9×	260 0.8×	112 0.9×	207 2.0×	44	786
Hua Wu	373 0.8×	431 1.2×	292 0.9×	65 0.5×	84 0.8×	31	662
Zhen Li	370 0.8×	396 1.1×	235 0.7×	69 0.5×	50 0.5×	49	702
Changlong Liu	345 0.7×	335 0.9×	236 0.7×	100 0.8×	81 0.8×	50	759
Taehwan Oh	346 0.8×	279 0.8×	242 0.7×	101 0.8×	51 0.5×	66	641
Yuxin Tang	489 1.1×	615 1.7×	262 0.8×	106 0.8×	50 0.5×	35	903
Wenbo Sun	319 0.7×	234 0.7×	232 0.7×	165 1.3×	92 0.9×	47	771
Yonggang Liu	623 1.4×	464 1.3×	388 1.2×	75 0.6×	78 0.7×	35	794

Countries citing papers authored by Jiajun Wu

Since Specialization

Citations

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

Fields of papers citing papers by Jiajun Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiajun Wu

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

All Works

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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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