S Kern

4.0k total citations · 4 hit papers
11 papers, 3.2k citations indexed

About

S Kern is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, S Kern has authored 11 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in S Kern's work include Molecular Biology Techniques and Applications (3 papers), Gene expression and cancer classification (3 papers) and RNA modifications and cancer (2 papers). S Kern is often cited by papers focused on Molecular Biology Techniques and Applications (3 papers), Gene expression and cancer classification (3 papers) and RNA modifications and cancer (2 papers). S Kern collaborates with scholars based in United States, Belgium and Australia. S Kern's co-authors include Garret M. Hampton, Lisa M. Sapinoso, Henry F. Frierson, Christopher A. Moskaluk, Andrew I. Su, John Welsh, John Welsh, Geoffrey M. Wahl, Tej K. Pandita and Omid Vafa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Molecular Cell.

In The Last Decade

S Kern

11 papers receiving 3.1k citations

Hit Papers

c-Myc Can Induce DNA Damage, Increase Reactive Oxygen Spe... 2001 2026 2009 2017 2002 2001 2001 2001 200 400 600

Peers

S Kern
Lisa M. Sapinoso United States
Adam S. Adler United States
Iwei Yeh United States
Patrick D. Sutphin United States
ST Cheung Hong Kong
Xiao-Fan Wang United States
Ricardo C.T. Aguiar United States
Lisa M. Sapinoso United States
S Kern
Citations per year, relative to S Kern S Kern (= 1×) peers Lisa M. Sapinoso

Countries citing papers authored by S Kern

Since Specialization
Citations

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

Fields of papers citing papers by S Kern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S Kern

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

All Works

11 of 11 papers shown
1.
Welsh, John, Lisa M. Sapinoso, S Kern, et al.. (2003). Large-scale delineation of secreted protein biomarkers overexpressed in cancer tissue and serum. Proceedings of the National Academy of Sciences. 100(6). 3410–3415. 396 indexed citations
2.
Vafa, Omid, Mark Wade, S Kern, et al.. (2002). c-Myc Can Induce DNA Damage, Increase Reactive Oxygen Species, and Mitigate p53 Function. Molecular Cell. 9(5). 1031–1044. 720 indexed citations breakdown →
3.
Welsh, John, Lisa M. Sapinoso, Andrew I. Su, et al.. (2001). Analysis of gene expression identifies candidate markers and pharmacological targets in prostate cancer.. PubMed. 61(16). 5974–8. 685 indexed citations breakdown →
4.
Amler, Lukas C., David B. Agus, Lisa M. Sapinoso, et al.. (2001). Dysregulated expression of androgen-responsive and nonresponsive genes in the androgen-independent prostate cancer xenograft model, CWR22-R. Nature Genetics. 27(S4). 39–39. 75 indexed citations
5.
Welsh, John, Patrick P. Zarrinkar, Lisa M. Sapinoso, et al.. (2001). Analysis of gene expression profiles in normal and neoplastic ovarian tissue samples identifies candidate molecular markers of epithelial ovarian cancer. Proceedings of the National Academy of Sciences. 98(3). 1176–1181. 546 indexed citations breakdown →
6.
Su, Andrew I., John Welsh, Lisa M. Sapinoso, et al.. (2001). Molecular classification of human carcinomas by use of gene expression signatures.. PubMed. 61(20). 7388–93. 506 indexed citations breakdown →
7.
Amler, Lukas C., David B. Agus, Charles A. LeDuc, et al.. (2000). Dysregulated expression of androgen-responsive and nonresponsive genes in the androgen-independent prostate cancer xenograft model CWR22-R1.. PubMed. 60(21). 6134–41. 125 indexed citations
8.
Larson, A A, et al.. (1997). High resolution analysis of chromosome 3p alterations in cervical carcinoma.. PubMed. 57(18). 4082–90. 51 indexed citations
9.
Kern, S & Garret M. Hampton. (1997). Direct Hybridization of Large-Insert Genomic Clones on High-Density Gridded cDNA Filter Arrays. BioTechniques. 23(1). 120–124. 10 indexed citations
10.
Larson, A A, et al.. (1996). Analysis of replication error (RER+) phenotypes in cervical carcinoma.. PubMed. 56(6). 1426–31. 45 indexed citations
11.
Hampton, Garret M., et al.. (1996). Simultaneous assessment of loss of heterozygosity at multiple microsatellite loci using semi-automated fluorescence-based detection: subregional mapping of chromosome 4 in cervical carcinoma.. Proceedings of the National Academy of Sciences. 93(13). 6704–6709. 49 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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