Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Oncogenic forms of p53 inhibit p53-regulated gene expression
1992812 citationsS E Kern, JA Pietenpol et al.Scienceprofile →
Scrambled exons
1991774 citationsJanice Nigro, Kathleen R. Cho et al.Cellprofile →
This map shows the geographic impact of S E 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 E 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 E Kern more than expected).
This network shows the impact of papers produced by S E 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 E Kern. The network helps show where S E Kern may publish in the future.
Co-authorship network of co-authors of S E Kern
This figure shows the co-authorship network connecting the top 25 collaborators of S E Kern.
A scholar is included among the top collaborators of S E 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 E Kern. S E Kern is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bansal, Ravi, et al.. (2001). すい臓癌におけるACVR1B(ALK4、1B型アクチビン受容体)遺伝子の突然変異. Proc Natl Acad Sci USA. 98(6). 3254–3257.43 indexed citations
4.
Jones, J. B., Jason Jungsik Song, Paula M. Hempen, et al.. (2001). Detection of mitochondrial DNA mutations in pancreatic cancer offers a "mass"-ive advantage over detection of nuclear DNA mutations.. PubMed. 61(4). 1299–304.186 indexed citations
5.
Gradišar, Helena, S E Kern, & J. Friedrich. (2000). Keratinase of Doratomyces microsporus. Applied Microbiology and Biotechnology. 53(2). 196–200.126 indexed citations
6.
Hruban, Ralph H., Robb E. Wilentz, Michael Goggins, et al.. (1999). Pathology of incipient pancreatic cancer. Annals of Oncology. 10. S9–S11.61 indexed citations
7.
Hruban, R.H., Gloria M. Petersen, Michael Goggins, et al.. (1999). Familial pancreatic cancer. Annals of Oncology. 10. S69–S73.108 indexed citations
8.
Wilentz, Robb E., Joseph Geradts, Robert Maynard, et al.. (1998). Inactivation of the p16 (INK4A) tumor-suppressor gene in pancreatic duct lesions: loss of intranuclear expression.. PubMed. 58(20). 4740–4.261 indexed citations
9.
Okami, Kenji, Li Wu, Gregory J. Riggins, et al.. (1998). Analysis of PTEN/MMAC1 alterations in aerodigestive tract tumors.. PubMed. 58(3). 509–11.137 indexed citations
Lynch, Henry T., Thomas C. Smyrk, S E Kern, et al.. (1996). Familial pancreatic cancer: a review.. PubMed. 23(2). 251–75.175 indexed citations
13.
DiGiuseppe, Joseph A., Mark Redston, Charles J. Yeo, S E Kern, & Ralph H. Hruban. (1995). p53-independent expression of the cyclin-dependent kinase inhibitor p21 in pancreatic carcinoma.. PubMed. 147(4). 884–8.118 indexed citations
14.
Caldas, Carlos, et al.. (1994). Detection of K-ras mutations in the stool of patients with pancreatic adenocarcinoma and pancreatic ductal hyperplasia.. PubMed. 54(13). 3568–73.303 indexed citations
15.
Kern, S E, JA Pietenpol, Sam Thiagalingam, et al.. (1992). Oncogenic forms of p53 inhibit p53-regulated gene expression. Science. 256(5058). 827–830.812 indexed citations breakdown →
16.
Nigro, Janice, Kathleen R. Cho, Eric R. Fearon, et al.. (1991). Scrambled exons. Cell. 64(3). 607–613.774 indexed citations breakdown →
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.