Wen‐Kang Wei

57 total papers · 873 total citations
42 papers, 583 citations indexed

About

Wen‐Kang Wei is a scholar working on Animal Science and Zoology, Epidemiology and Genetics. According to data from OpenAlex, Wen‐Kang Wei has authored 42 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Animal Science and Zoology, 14 papers in Epidemiology and 14 papers in Genetics. Recurrent topics in Wen‐Kang Wei's work include Animal Virus Infections Studies (14 papers), Virus-based gene therapy research (14 papers) and Animal Disease Management and Epidemiology (10 papers). Wen‐Kang Wei is often cited by papers focused on Animal Virus Infections Studies (14 papers), Virus-based gene therapy research (14 papers) and Animal Disease Management and Epidemiology (10 papers). Wen‐Kang Wei collaborates with scholars based in China, United States and Taiwan. Wen‐Kang Wei's co-authors include Shao‐Lun Zhai, Dian‐Hong Lv, Xiao-Hui Wen, Dan Wang, Runxia Liu, Shengnan Chen, Tao Lin, Manlin Luo, Feng Li and Xiaohui Wen and has published in prestigious journals such as Biochemistry, Journal of Hazardous Materials and Journal of Virology.

In The Last Decade

Wen‐Kang Wei

39 papers receiving 579 citations

Author Peers

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

Author						Papers	Cites
Wen‐Kang Wei	348	275	271	161	143	42	583
Dian‐Hong Lv	283 0.8×	242 0.9×	216 0.8×	136 0.8×	117 0.8×	25	540
Donald Tremblay	399 1.1×	345 1.3×	238 0.9×	141 0.9×	128 0.9×	23	691
Xinyan Zhai	437 1.3×	347 1.3×	305 1.1×	249 1.5×	166 1.2×	23	698
Feng-Xue Wang	318 0.9×	324 1.2×	297 1.1×	178 1.1×	78 0.5×	43	619
Imre Biksi	259 0.7×	284 1.0×	182 0.7×	91 0.6×	76 0.5×	50	651
Zhi Zhou	433 1.2×	339 1.2×	302 1.1×	194 1.2×	135 0.9×	20	609
Ningyi Jin	301 0.9×	237 0.9×	297 1.1×	122 0.8×	112 0.8×	50	537
Kotaro Tuchiya	288 0.8×	266 1.0×	265 1.0×	156 1.0×	73 0.5×	27	541
Sawang Kesdangsakonwut	370 1.1×	338 1.2×	286 1.1×	202 1.3×	92 0.6×	40	690
B. Šmíd	421 1.2×	464 1.7×	149 0.5×	157 1.0×	71 0.5×	51	658

Countries citing papers authored by Wen‐Kang Wei

Since Specialization

Citations

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

Fields of papers citing papers by Wen‐Kang Wei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wen‐Kang Wei. 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 Wen‐Kang Wei. The network helps show where Wen‐Kang Wei may publish in the future.

Co-authorship network of co-authors of Wen‐Kang Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Wen‐Kang Wei. A scholar is included among the top collaborators of Wen‐Kang Wei 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 Wen‐Kang Wei. Wen‐Kang Wei 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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