S E Kern

10.6k citations
51 papers · 8.5k indexed · 4 hit papers · h-index 38

Impact in

  • Oncology top 0.2%
    • Pancreatic and Hepatic Oncology Research
    • Cancer-related Molecular Pathways
    • Cancer Genomics and Diagnostics
    • MicroRNA in disease regulation

Papers in

    • Pancreatic and Hepatic Oncology Research 22
    • Cancer-related Molecular Pathways 5
    • Colorectal Cancer Treatments and Studies 3
    • Cancer Genomics and Diagnostics 17

S E Kern

51 papers receiving 8.3k citations

Hit Papers

Progression model for pancreatic cancer. 2000 · 665 citations
6651991202620022014250500750

Peers

S E Kern
Comparison fields: 5 of 132
  • Oncology 5.6k
  • Cancer Research 3.1k
  • Pathology and Forensic Medicine 1.5k
  • Biotechnology 590
  • Molecular Biology 4.4k
Replace Brigitte Bressac–de Paillerets with:
Brigitte Bressac–de Paillerets France
Raheela Ashfaq United States
Aaron Pollett Canada
Jun Yokota Japan
Cheryl Gillett United Kingdom
Cathy A. Finlay United States
William F. Benedict United States
S Hirohashi Japan
Christophe Rosty Australia
Shuji Nomoto Japan
S E Kern relative to Brigitte Bressac–de Paillerets France Brigitte Bressac–de Paillerets's profile →
Citations per field
00.5×1.6×
Brigitte Bressac–de Paillerets · 1×
Citations per year

Countries citing papers authored by S E Kern

Since Specialization
Citations

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).

Fields of papers citing papers by S E Kern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside S E Kern, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S E Kern Line = papers co-authored together S E Kern links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Oncogenic forms of p53 inhibit p53-regulated gene expression
Hit paper breakdown →
1992812
2
Scrambled exons
Hit paper breakdown →
1991774
3
Progression model for pancreatic cancer.
Hit paper breakdown →
2000665
4
Tumor-suppressive pathways in pancreatic carcinoma.
Hit paper breakdown →
1997554
5
Germline BRCA2 gene mutations in patients with apparently sporadic pancreatic carcinomas.
1996482
6
Loss of expression of Dpc4 in pancreatic intraepithelial neoplasia: evidence that DPC4 inactivation occurs late in neoplastic progression.
2000451
7
p53 mutations in pancreatic carcinoma and evidence of common involvement of homocopolymer tracts in DNA microdeletions.
1994364
8
p16 and K-ras gene mutations in the intraductal precursors of human pancreatic adenocarcinoma.
1997345
9
Detection of K-ras mutations in the stool of patients with pancreatic adenocarcinoma and pancreatic ductal hyperplasia.
1994303
10
Inactivation of the p16 (INK4A) tumor-suppressor gene in pancreatic duct lesions: loss of intranuclear expression.
1998261
11
The SMAD4 protein and prognosis of pancreatic ductal adenocarcinoma.
2001244
12 1989241
13
Increased risk of incident pancreatic cancer among first-degree relatives of patients with familial pancreatic cancer.
2001225
14
Genetic alterations of the transforming growth factor beta receptor genes in pancreatic and biliary adenocarcinomas.
1998221
15
Pancreatic adenocarcinomas with DNA replication errors (RER+) are associated with wild-type K-ras and characteristic histopathology. Poor differentiation, a syncytial growth pattern, and pushing borders suggest RER+.
1998192
16
Detection of mitochondrial DNA mutations in pancreatic cancer offers a "mass"-ive advantage over detection of nuclear DNA mutations.
2001186
17
Familial pancreatic cancer: a review.
1996175
18
A novel histone deacetylase inhibitor identified by high-throughput transcriptional screening of a compound library.
2000160
19
Alterations in pancreatic, biliary, and breast carcinomas support MKK4 as a genetically targeted tumor suppressor gene.
1998143
20
Microdissection and polymerase chain reaction amplification of genomic DNA from histological tissue sections.
1997141

About S E Kern

S E Kern is a scholar working on Oncology, Cancer Research, Pathology and Forensic Medicine, Molecular Biology and Surgery, having authored 51 papers that have together received 8.5k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (22 papers), Cancer Genomics and Diagnostics (17 papers), Genetic factors in colorectal cancer (15 papers), Cancer-related Molecular Pathways (5 papers), Neuroendocrine Tumor Research Advances (5 papers), Cancer Research and Treatments (4 papers), Colorectal Cancer Treatments and Studies (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Oncology (5.6k citations), Cancer Research (3.1k citations), Pathology and Forensic Medicine (1.5k citations), Biotechnology (590 citations) and Molecular Biology (4.4k citations). S E Kern has collaborated with scholars based in United States, Netherlands and Slovenia. Frequent co-authors include Ralph H. Hruban, Bert Vogelstein, Charles J. Yeo, Michael Goggins, Ralph H. Hruban, Christopher A. Moskaluk, Kenneth W. Kinzler, Jason L. Parsons, Michael Goggins and Ralph H. Hruban. Their work appears in journals such as Annals of Oncology, JAMA, Journal of Molecular Catalysis B Enzymatic, Advances in experimental medicine and biology and Oncology Reports.

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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