S L Chen

497 total citations
9 papers, 408 citations indexed

About

S L Chen is a scholar working on Epidemiology, Genetics and Oncology. According to data from OpenAlex, S L Chen has authored 9 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Genetics and 3 papers in Oncology. Recurrent topics in S L Chen's work include Cervical Cancer and HPV Research (4 papers), Virus-based gene therapy research (3 papers) and Hepatitis B Virus Studies (3 papers). S L Chen is often cited by papers focused on Cervical Cancer and HPV Research (4 papers), Virus-based gene therapy research (3 papers) and Hepatitis B Virus Studies (3 papers). S L Chen collaborates with scholars based in Taiwan, United States and Canada. S L Chen's co-authors include Phoebe Mounts, Yeou‐Ping Tsao, Dennis M. Zaller, Long‐Yuan Li, Richard Cummings, Donald W. Nicholson, Daniel C. Freed, Zheng Huang, Jonathan B. Rothbard and Angela Styhler and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Virology and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

S L Chen

9 papers receiving 398 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S L Chen Taiwan	8	173	159	159	104	72	9	408
Hideyuki Kato Japan	9	73 0.4×	162 1.0×	47 0.3×	102 1.0×	58 0.8×	17	392
Michael P. Bell United States	13	382 2.2×	70 0.4×	110 0.7×	200 1.9×	51 0.7×	22	648
S Bregenholt Denmark	12	220 1.3×	34 0.2×	93 0.6×	73 0.7×	68 0.9×	17	368
Sherry A. Wuensch United States	7	379 2.2×	150 0.9×	50 0.3×	137 1.3×	88 1.2×	8	628
Jung Koo Youn South Korea	11	194 1.1×	67 0.4×	76 0.5×	93 0.9×	47 0.7×	30	410
Felicia M. Bloemendaal Netherlands	7	140 0.8×	53 0.3×	92 0.6×	122 1.2×	47 0.7×	8	314
Hajime Komano Japan	7	264 1.5×	48 0.3×	52 0.3×	142 1.4×	48 0.7×	10	447
Thangaraj Karuppuchamy United States	8	239 1.4×	47 0.3×	132 0.8×	188 1.8×	38 0.5×	8	458
Carolyn Padden United States	9	230 1.3×	93 0.6×	117 0.7×	338 3.3×	49 0.7×	9	605
Nina N. Pawlowski Germany	7	328 1.9×	63 0.4×	110 0.7×	98 0.9×	59 0.8×	13	467

Countries citing papers authored by S L Chen

Since Specialization

Citations

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

Fields of papers citing papers by S L Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S L Chen. 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 S L Chen. The network helps show where S L Chen may publish in the future.

Co-authorship network of co-authors of S L Chen

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

All Works

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9 of 9 papers shown

Njateng, Guy Sedar Singor, et al.. (2013). Chemical Composition and Antimicrobial Activity of the Essential Oil from the Edible Aromatic Plant Aristolochia delavayi. Chemistry & Biodiversity. 10(11). 2032–2041. 22 indexed citations

Chow, L. H., Peng‐Chan Lin, Jeffrey S. Chang, et al.. (2011). Differences in the frequencies of K‐ras c12–13 genotypes by gender and pathologic phenotypes in colorectal tumors measured using the allele discrimination method. Environmental and Molecular Mutagenesis. 53(1). 22–31. 7 indexed citations

Claveau, David, S L Chen, Stephen J. O’Keefe, et al.. (2004). Preferential Inhibition of T Helper 1, but Not T Helper 2, Cytokines in Vitro by L-826,141 [4-{2-(3,4-Bisdifluromethoxyphenyl)-2-{4-(1,1,1,3,3,3-hexafluoro-2-hydroxypropan-2-yl)-phenyl]-ethyl}-3-methylpyridine-1-oxide], a Potent and Selective Phosphodiesterase 4 Inhibitor. Journal of Pharmacology and Experimental Therapeutics. 310(2). 752–760. 79 indexed citations

Hsieh, Chang‐Hsun, et al.. (2000). Sequence variants and functional analysis of human papillomavirus type 16 E5 gene in clinical specimens. Archives of Virology. 145(11). 2273–2284. 20 indexed citations

Wicker, Linda S., S L Chen, Gerald T. Nepom, et al.. (1996). Naturally processed T cell epitopes from human glutamic acid decarboxylase identified using mice transgenic for the type 1 diabetes-associated human MHC class II allele, DRB1*0401.. Journal of Clinical Investigation. 98(11). 2597–2603. 119 indexed citations

Tsao, Yeou‐Ping, et al.. (1996). Human papillomavirus type 11 and 16 E5 represses p21(WafI/SdiI/CipI) gene expression in fibroblasts and keratinocytes. Journal of Virology. 70(11). 7535–7539. 53 indexed citations

Chen, S L, et al.. (1996). E5 proteins of human papillomavirus types 11 and 16 transactivate the c-fos promoter through the NF1 binding element. Journal of Virology. 70(12). 8558–8563. 23 indexed citations

Chen, S L, et al.. (1996). Mutational analysis of human papillomavirus type 11 E5a oncoprotein. Journal of Virology. 70(6). 3502–3508. 20 indexed citations

Chen, S L & Phoebe Mounts. (1990). Transforming activity of E5a protein of human papillomavirus type 6 in NIH 3T3 and C127 cells. Journal of Virology. 64(7). 3226–3233. 65 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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