Shiu-Mei Wang

430 total citations
10 papers, 326 citations indexed

About

Shiu-Mei Wang is a scholar working on Infectious Diseases, Virology and Ecology. According to data from OpenAlex, Shiu-Mei Wang has authored 10 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 5 papers in Virology and 4 papers in Ecology. Recurrent topics in Shiu-Mei Wang's work include SARS-CoV-2 and COVID-19 Research (5 papers), HIV Research and Treatment (5 papers) and Bacteriophages and microbial interactions (4 papers). Shiu-Mei Wang is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (5 papers), HIV Research and Treatment (5 papers) and Bacteriophages and microbial interactions (4 papers). Shiu-Mei Wang collaborates with scholars based in Taiwan. Shiu-Mei Wang's co-authors include Chin-Tien Wang, Kuo-Jung Huang, Yu-Fen Chang, Tai-huang Huang, Yu-Sheng Lo, Ming‐Hon Hou and Ching‐Yuan Chang and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Shiu-Mei Wang

10 papers receiving 322 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Shiu-Mei Wang Taiwan	10	251	104	94	64	45	10	326
Toong Seng Tan Japan	8	331 1.3×	150 1.4×	50 0.5×	38 0.6×	35 0.8×	16	412
Danwei Yu China	8	323 1.3×	106 1.0×	93 1.0×	39 0.6×	60 1.3×	13	395
Jordan Anderson-Daniels United States	5	182 0.7×	77 0.7×	50 0.5×	49 0.8×	21 0.5×	6	244
Juan Ángel Patin͂o-Galindo Spain	9	151 0.6×	78 0.8×	71 0.8×	28 0.4×	73 1.6×	17	278
Lili Qin China	5	284 1.1×	97 0.9×	21 0.2×	102 1.6×	72 1.6×	7	364
Zhiwu Sun China	10	222 0.9×	81 0.8×	92 1.0×	35 0.5×	170 3.8×	12	377
Chengyang Ji China	9	136 0.5×	160 1.5×	122 1.3×	31 0.5×	108 2.4×	16	301
Giulia Piccini Italy	9	359 1.4×	127 1.2×	20 0.2×	57 0.9×	59 1.3×	16	446
Joanna María Ortiz-Alcántara Mexico	6	125 0.5×	64 0.6×	20 0.2×	26 0.4×	33 0.7×	18	235
Dmitry Kireev Russia	9	112 0.4×	55 0.5×	113 1.2×	16 0.3×	112 2.5×	48	255

Countries citing papers authored by Shiu-Mei Wang

Since Specialization

Citations

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

Fields of papers citing papers by Shiu-Mei Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiu-Mei Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shiu-Mei Wang. A scholar is included among the top collaborators of Shiu-Mei 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 Shiu-Mei Wang. Shiu-Mei 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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10 of 10 papers shown

1.

Wang, Shiu-Mei, et al.. (2014). SARS-CoV envelope protein palmitoylation or nucleocapid association is not required for promoting virus-like particle production. Journal of Biomedical Science. 21(1). 34–34. 30 indexed citations

2.

Wang, Shiu-Mei, Kuo-Jung Huang, & Chin-Tien Wang. (2013). BST2/CD317 counteracts human coronavirus 229E productive infection by tethering virions at the cell surface. Virology. 449. 287–296. 29 indexed citations

3.

Wang, Shiu-Mei, et al.. (2013). Identifying SARS-CoV Membrane Protein Amino Acid Residues Linked to Virus-Like Particle Assembly. PLoS ONE. 8(5). e64013–e64013. 40 indexed citations

4.

Lo, Yu-Sheng, et al.. (2012). Oligomerization of the carboxyl terminal domain of the human coronavirus 229E nucleocapsid protein. FEBS Letters. 587(2). 120–127. 72 indexed citations

5.

Wang, Shiu-Mei, et al.. (2012). Placement of Leucine Zipper Motifs at the Carboxyl Terminus of HIV-1 Protease Significantly Reduces Virion Production. PLoS ONE. 7(3). e32845–e32845. 16 indexed citations

6.

Wang, Shiu-Mei, et al.. (2010). Self-assembly of Severe Acute Respiratory Syndrome Coronavirus Membrane Protein. Journal of Biological Chemistry. 285(17). 12862–12872. 54 indexed citations

7.

Wang, Shiu-Mei, et al.. (2009). A Single Amino Acid Substitution in HIV-1 Reverse Transcriptase Significantly Reduces Virion Release. Journal of Virology. 84(2). 976–982. 14 indexed citations

8.

Chang, Ching‐Yuan, et al.. (2008). HIV-1 matrix protein repositioning in nucleocapsid region fails to confer virus-like particle assembly. Virology. 378(1). 97–104. 23 indexed citations

9.

Chang, Yu-Fen, Shiu-Mei Wang, Kuo-Jung Huang, & Chin-Tien Wang. (2007). Mutations in Capsid Major Homology Region Affect Assembly and Membrane Affinity of HIV-1 Gag. Journal of Molecular Biology. 370(3). 585–597. 36 indexed citations

10.

Huang, Kuo-Jung, et al.. (2007). Incorporation of Human Immunodeficiency Virus Type 1 Reverse Transcriptase into Virus-Like Particles. Journal of Virology. 81(10). 5155–5165. 12 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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