Jay Stoerker

1.4k total citations
28 papers, 758 citations indexed

About

Jay Stoerker is a scholar working on Oncology, Molecular Biology and Epidemiology. According to data from OpenAlex, Jay Stoerker has authored 28 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 7 papers in Molecular Biology and 7 papers in Epidemiology. Recurrent topics in Jay Stoerker's work include Viral-associated cancers and disorders (7 papers), Parvovirus B19 Infection Studies (6 papers) and Cervical Cancer and HPV Research (4 papers). Jay Stoerker is often cited by papers focused on Viral-associated cancers and disorders (7 papers), Parvovirus B19 Infection Studies (6 papers) and Cervical Cancer and HPV Research (4 papers). Jay Stoerker collaborates with scholars based in United States, Germany and Slovenia. Jay Stoerker's co-authors include Ronald Glaser, Patti E. Gravitt, Jonathan B. McHugh, Antonio Riccio, Steven H. Seeholzer, Alfonso Bellacosa, Douglas B. Chepeha, Maurizio Genuardi, Heather M. Walline and Fiorella Petronzelli and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Jay Stoerker

28 papers receiving 727 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jay Stoerker United States 14 279 275 216 143 110 28 758
Pamela S. Wirth United States 7 226 0.8× 188 0.7× 228 1.1× 74 0.5× 66 0.6× 8 660
P. Wilson United Kingdom 17 84 0.3× 205 0.7× 211 1.0× 82 0.6× 170 1.5× 29 707
Tong‐Min Wang China 15 253 0.9× 167 0.6× 91 0.4× 69 0.5× 82 0.7× 45 809
C. J. Alcock United Kingdom 9 105 0.4× 122 0.4× 91 0.4× 74 0.5× 79 0.7× 17 774
Usha K. Luthra India 13 141 0.5× 166 0.6× 261 1.2× 43 0.3× 210 1.9× 22 654
Neil Lambie New Zealand 12 119 0.4× 96 0.3× 167 0.8× 58 0.4× 112 1.0× 23 468
Ryuichi Nakashima Japan 13 212 0.8× 135 0.5× 244 1.1× 16 0.1× 130 1.2× 18 606
Christine Gilles Belgium 13 231 0.8× 229 0.8× 285 1.3× 17 0.1× 123 1.1× 28 783
Nathalie Grün Sweden 16 165 0.6× 374 1.4× 186 0.9× 442 3.1× 206 1.9× 23 835

Countries citing papers authored by Jay Stoerker

Since Specialization
Citations

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

Fields of papers citing papers by Jay Stoerker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jay Stoerker

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

All Works

20 of 20 papers shown
1.
Porreco, Richard P., Matthew D. Sekedat, Allan T. Bombard, et al.. (2019). Evaluation of a novel screening method for fetal aneuploidy using cell-free DNA in maternal plasma. Journal of Medical Screening. 27(1). 1–8. 5 indexed citations
2.
Stoerker, Jay, John F. Carlquist, Gregory J. Stoddard, et al.. (2017). Cell-free DNA, inflammation, and the initiation of spontaneous term labor. American Journal of Obstetrics and Gynecology. 217(5). 583.e1–583.e8. 41 indexed citations
3.
Grosu, Daniel S., Kristina M. Kruglyak, Brandy Klotzle, et al.. (2014). Clinical investigational studies for validation of a next-generation sequencingin vitrodiagnostic device for cystic fibrosis testing. Expert Review of Molecular Diagnostics. 14(5). 605–622. 14 indexed citations
4.
Colacino, Justin A., Dana C. Dolinoy, Sonia A. Duffy, et al.. (2013). Comprehensive Analysis of DNA Methylation in Head and Neck Squamous Cell Carcinoma Indicates Differences by Survival and Clinicopathologic Characteristics. PLoS ONE. 8(1). e54742–e54742. 41 indexed citations
5.
Stoerker, Jay, et al.. (2013). Evaluation of a BeadXpress Assay for a 151-Mutation and Variant CFTR Screening Panel After 11,000 Samples. Diagnostic Molecular Pathology. 22(3). 144–148. 2 indexed citations
6.
Hauff, Samantha J., Alice L. Tang, Dafydd Thomas, et al.. (2012). Head and neck squamous cell carcinoma in pregnant women. Head & Neck. 35(3). 335–342. 18 indexed citations
7.
Tang, Alice L., Samantha J. Hauff, John H. Owen, et al.. (2011). UM‐SCC‐104: A New human papillomavirus‐16–positive cancer stem cell–containing head and neck squamous cell carcinoma cell line. Head & Neck. 34(10). 1480–1491. 78 indexed citations
8.
Farkas, Daniel H., Jay Stoerker, Dirk van den Boom, et al.. (2010). The Suitability of Matrix Assisted Laser Desorption/Ionization Time of Flight Mass Spectrometry in a Laboratory Developed Test Using Cystic Fibrosis Carrier Screening as a Model. Journal of Molecular Diagnostics. 12(5). 611–619. 10 indexed citations
9.
Maxwell, Jessica H., Bhavna Kumar, Felix Y. Feng, et al.. (2009). HPV‐positive/p16‐positive/EBV‐negative nasopharyngeal carcinoma in white North Americans. Head & Neck. 32(5). 562–567. 94 indexed citations
10.
Petronzelli, Fiorella, Antonio Riccio, George D. Markham, et al.. (2000). Biphasic Kinetics of the Human DNA Repair Protein MED1 (MBD4), a Mismatch-specific DNA N-Glycosylase. Journal of Biological Chemistry. 275(42). 32422–32429. 139 indexed citations
11.
Stoerker, Jay, et al.. (2000). Rapid genotyping by MALDI-monitored nuclease selection from probe libraries. Nature Biotechnology. 18(11). 1213–1216. 44 indexed citations
12.
Stoerker, Jay, et al.. (1996). Heteroduplex generator in analysis of Rh blood group alleles.. PubMed. 42(3). 356–60. 8 indexed citations
13.
Doherty, T. Mark, et al.. (1995). Analysis of Clonality by Polymerase Chain Reaction for Phosphoglycerate Kinase-1. Diagnostic Molecular Pathology. 4(3). 182–190. 10 indexed citations
14.
Sood, Anil K., et al.. (1994). Human Papillomavirus DNA in LEEP Plume. Infectious Diseases in Obstetrics and Gynecology. 2(4). 167–170. 47 indexed citations
15.
Le, Linda Van, Jay Stoerker, Clifford A. Rinehart, & Wyatt C. Fowler. (1993). H-ras Codon 12 Mutation in Cervical Dysplasia. Gynecologic Oncology. 49(2). 181–184. 13 indexed citations
16.
Kemp, E, et al.. (1993). Human papillomavirus prevalence in pregnancy. International Journal of Gynecology & Obstetrics. 40(1). 90–90. 56 indexed citations
17.
Stubbs, Thomas M., et al.. (1992). Fetal maternal laryngeal papillomatosis in pregnancy:A case report. American Journal of Obstetrics and Gynecology. 166(2). 524–525. 5 indexed citations
18.
Gravitt, Patti E., Anne M. Hakenewerth, & Jay Stoerker. (1991). A direct comparison of methods proposed for use in widespread screening of human papillomavirus infections. Molecular and Cellular Probes. 5(1). 65–72. 24 indexed citations
19.
Marschalek, Rolf, et al.. (1989). CMER, an RNA encoded by human cytomegalovirus is most likely transcribed by RNA polymerise III. Nucleic Acids Research. 17(2). 631–643. 6 indexed citations
20.
Stoerker, Jay, Deborah S. Parris, Yoshihiro Yajima, & Ronald Glaser. (1981). Pleiotropic expression of Epstein--Barr virus DNA in human epithelial cells.. Proceedings of the National Academy of Sciences. 78(9). 5852–5855. 21 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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