Stuart J. Decker

8.8k citations
67 papers · 7.8k indexed · 3 hit papers · h-index 37

Stuart J. Decker

67 papers receiving 7.6k citations

Hit Papers

Inhibition of MAP Kinase Kinase Blocks the Differentiatio...846198420261998201250010001.5k2.0k2.5k

Peers

Stuart J. Decker
Comparison fields: 5 of 117
  • Molecular Biology 5.3k
  • Oncology 2.1k
  • Immunology and Allergy 427
  • Cancer Research 802
  • Cell Biology 867
Replace Stephen P. Soltoff with:
Stephen P. Soltoff United States
A Ullrich Germany
M. Shoyab United States
Andrew F. Wilks Australia
Román Herrera United States
Henrik Daub Germany
Teri G. Boulton United States
Matilde Caivano United Kingdom
Gilles Pagès France
Chris J. Vlahos United States
Stuart J. Decker relative to Stephen P. Soltoff United States Stephen P. Soltoff's profile →
Citations per field
00.5×1.6×
Stephen P. Soltoff · 1×
Citations per year

Countries citing papers authored by Stuart J. Decker

Since Specialization
Citations

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

Fields of papers citing papers by Stuart J. Decker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stuart J. Decker. 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 Stuart J. Decker. The network helps show where Stuart J. Decker may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Stuart J. Decker, 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 Stuart J. Decker Line = papers co-authored together Stuart J. Decker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20245
2 201079
3 20091
4 200582
5 199884
6 1998111
7 199639
8 199544
9 19952
10 19956
11 199570
12 199425
13 199270
14 19922
15 1992110
16 1992125
17 199112
18 199161
19 199055
20 19886

About Stuart J. Decker

Stuart J. Decker is a scholar working on Molecular Biology, Oncology, Cellular and Molecular Neuroscience, Cell Biology and Radiology, Nuclear Medicine and Imaging, having authored 67 papers that have together received 7.8k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (26 papers), HER2/EGFR in Cancer Research (15 papers), Glycosylation and Glycoproteins Research (11 papers), PI3K/AKT/mTOR signaling in cancer (9 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Nerve injury and regeneration (8 papers), Melanoma and MAPK Pathways (6 papers) and Protein Tyrosine Phosphatases (6 papers). The work is most often cited by research in Molecular Biology (5.3k citations), Oncology (2.1k citations), Immunology and Allergy (427 citations), Cancer Research (802 citations) and Cell Biology (867 citations). Stuart J. Decker has collaborated with scholars based in United States, France and Austria. Frequent co-authors include Alan R. Saltiel, Long Pang, Alexander J. Bridges, David T. Dudley, Takeshi Sawada, Kevin Pumiglia, Alan L. Schechter, David F. Stern, Robert A. Weinberg and Jeffrey A. Drebin. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Molecular and Cellular Biology, Biochemical and Biophysical Research Communications and Biochemistry.

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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