Sherwin Kuo

914 total citations
8 papers, 678 citations indexed

About

Sherwin Kuo is a scholar working on Molecular Biology, Dermatology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sherwin Kuo has authored 8 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Dermatology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Sherwin Kuo's work include Acne and Rosacea Treatments and Effects (3 papers), Bacterial biofilms and quorum sensing (2 papers) and Dermatology and Skin Diseases (2 papers). Sherwin Kuo is often cited by papers focused on Acne and Rosacea Treatments and Effects (3 papers), Bacterial biofilms and quorum sensing (2 papers) and Dermatology and Skin Diseases (2 papers). Sherwin Kuo collaborates with scholars based in United States, Taiwan and Chile. Sherwin Kuo's co-authors include Chun‐Ming Huang, Richard L. Gallo, Jinghua Yu, Yanhan Wang, Aimee Two, Yong Jiang, Alvin B. Coda, Stephen Huang, Yibin Wang and James M. Musser and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Clinical Microbiology.

In The Last Decade

Sherwin Kuo

8 papers receiving 660 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sherwin Kuo United States	7	370	215	137	70	69	8	678
Setsuko Nishijima Japan	17	373 1.0×	161 0.7×	144 1.1×	37 0.5×	289 4.2×	51	806
Emma Barnard United Kingdom	19	894 2.4×	267 1.2×	314 2.3×	49 0.7×	75 1.1×	28	1.4k
Iman Salem United States	7	308 0.8×	271 1.3×	283 2.1×	93 1.3×	337 4.9×	13	911
Junghyun Hwang South Korea	6	195 0.5×	239 1.1×	64 0.5×	58 0.8×	49 0.7×	8	467
Han Song China	8	195 0.5×	255 1.2×	56 0.4×	64 0.9×	45 0.7×	13	507
María-José Fábrega Spain	13	167 0.5×	486 2.3×	119 0.9×	112 1.6×	108 1.6×	20	954
Corey P. Parlet United States	14	149 0.4×	437 2.0×	69 0.5×	108 1.5×	313 4.5×	14	891
Tsutomu Ushijima Japan	14	130 0.4×	217 1.0×	119 0.9×	119 1.7×	119 1.7×	41	587
Taisei Ishioka Japan	12	76 0.2×	57 0.3×	198 1.4×	73 1.0×	117 1.7×	32	510
Nathan B. Pincus United States	8	120 0.3×	147 0.7×	36 0.3×	20 0.3×	37 0.5×	14	383

Countries citing papers authored by Sherwin Kuo

Since Specialization

Citations

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

Fields of papers citing papers by Sherwin Kuo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sherwin Kuo

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

All Works

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8 of 8 papers shown

Chen, Hui‐Wen, Pei‐Feng Liu, Yu-Tsueng Liu, et al.. (2016). Nasal commensal Staphylococcus epidermidis counteracts influenza virus. Scientific Reports. 6(1). 27870–27870. 48 indexed citations

Wang, Yibin, Sherwin Kuo, Jinghua Yu, et al.. (2014). Propionic acid and its esterified derivative suppress the growth of methicillin-resistant Staphylococcus aureus USA300. Beneficial Microbes. 5(2). 161–168. 60 indexed citations

Kuo, Sherwin, et al.. (2013). Porphyrin Metabolisms in Human Skin Commensal Propionibacterium acnes Bacteria: Potential Application to Monitor Human Radiation Risk. Current Medicinal Chemistry. 20(4). 562–568. 51 indexed citations

Wang, Yanhan, Jinghua Yu, Sherwin Kuo, et al.. (2013). Fermentation of Propionibacterium acnes, a Commensal Bacterium in the Human Skin Microbiome, as Skin Probiotics against Methicillin-Resistant Staphylococcus aureus. PLoS ONE. 8(2). e55380–e55380. 222 indexed citations

Wang, Yanhan, Sherwin Kuo, Jinghua Yu, et al.. (2013). Staphylococcus epidermidis in the human skin microbiome mediates fermentation to inhibit the growth of Propionibacterium acnes: implications of probiotics in acne vulgaris. Applied Microbiology and Biotechnology. 98(1). 411–424. 216 indexed citations

Chiu, Sheng-Hsiung, et al.. (2012). Application of Fuzzy c-Means and Self-organizing maps for genes clustering in mouse brain microarray data analysis. 7. 1104–1108. 2 indexed citations

Speert, David P., Susan Walker Farmer, M E Campbell, et al.. (1990). Conversion of Pseudomonas aeruginosa to the phenotype characteristic of strains from patients with cystic fibrosis. Journal of Clinical Microbiology. 28(2). 188–194. 70 indexed citations

Kelly, N M, et al.. (1987). Colonial dissociation and susceptibility to phagocytosis of Pseudomonas aeruginosa grown in a chamber implant model in mice. Infection and Immunity. 55(11). 2841–2843. 9 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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