Shainn-Wei Wang

21 total papers · 837 total citations
20 papers, 705 citations indexed

About

Shainn-Wei Wang is a scholar working on Virology, Immunology and Epidemiology. According to data from OpenAlex, Shainn-Wei Wang has authored 20 papers receiving a total of 705 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Virology, 8 papers in Immunology and 7 papers in Epidemiology. Recurrent topics in Shainn-Wei Wang's work include HIV Research and Treatment (11 papers), Immune Cell Function and Interaction (5 papers) and Herpesvirus Infections and Treatments (4 papers). Shainn-Wei Wang is often cited by papers focused on HIV Research and Treatment (11 papers), Immune Cell Function and Interaction (5 papers) and Herpesvirus Infections and Treatments (4 papers). Shainn-Wei Wang collaborates with scholars based in Taiwan, United States and Tunisia. Shainn-Wei Wang's co-authors include Anna Aldovini, Shun‐Hua Chen, Yuk-Ying Tung, Pamela A. Kozlowski, Angela Carville, Yu-Wen Lin, Lie Cheng, Keith G. Mansfield, David C. Montefiori and Gail P. Mazzara and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Journal of Virology.

In The Last Decade

Shainn-Wei Wang

20 papers receiving 688 citations

Author Peers

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

Author Last Decade Papers Cites
Shainn-Wei Wang 270 263 261 205 166 20 705
D W Lineberger 199 0.7× 268 1.0× 224 0.9× 166 0.8× 245 1.5× 10 684
Dorota Kmieć 252 0.9× 342 1.3× 301 1.2× 219 1.1× 356 2.1× 28 807
Jacob Archer 277 1.0× 162 0.6× 359 1.4× 141 0.7× 320 1.9× 21 778
Kashif Aziz Khan 238 0.9× 174 0.7× 213 0.8× 184 0.9× 175 1.1× 25 705
G R Dreesman 371 1.4× 289 1.1× 272 1.0× 156 0.8× 135 0.8× 15 750
Mariluz Araínga 407 1.5× 289 1.1× 215 0.8× 134 0.7× 293 1.8× 25 876
William M. Hurni 238 0.9× 219 0.8× 212 0.8× 392 1.9× 184 1.1× 25 803
Elizabeth V. L. Grgacic 168 0.6× 143 0.5× 254 1.0× 321 1.6× 285 1.7× 20 793
Bartek Zuber 382 1.4× 247 0.9× 176 0.7× 129 0.6× 193 1.2× 29 739
C. Howe 313 1.2× 90 0.3× 190 0.7× 212 1.0× 146 0.9× 42 830

Countries citing papers authored by Shainn-Wei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shainn-Wei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shainn-Wei Wang. 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 Shainn-Wei Wang. The network helps show where Shainn-Wei Wang may publish in the future.

Co-authorship network of co-authors of Shainn-Wei Wang

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