Stephen J. Elledge
Impact in
- Molecular Biology top 0.01%
- DNA Repair Mechanisms
- Ubiquitin and proteasome pathways
- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
- Epigenetics and DNA Methylation
- Oncology top 0.01%
- Cancer-related Molecular Pathways
Papers in
-
- DNA Repair Mechanisms 121
- Ubiquitin and proteasome pathways 69
- CRISPR and Genetic Engineering 46
- Genomics and Chromatin Dynamics 46
- Epigenetics and DNA Methylation 32
- Fungal and yeast genetics research 27
- Oncology 105
- Cancer-related Molecular Pathways 70
- Co-authors
- J. Wade Harper (57 shared papers)Alberto Ciccia (12 shared papers)Lee Zou (6 shared papers)Bin‐Bing S. Zhou (1 shared paper)Mamie Z. Li (37 shared papers)David Cortez (9 shared papers)Ji Luo (7 shared papers)Shuhei Matsuoka (8 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (48 papers)Science (38 papers)Genes & Development (37 papers)Cell (28 papers)Molecular Cell (26 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Stephen J. Elledge
365 papers receiving 91.4k citations
Stephen J. Elledge's Hit Papers
Peers
Comparison fields: 5 of 196
- Molecular Biology 76.0k
- Oncology 27.7k
- Cancer Research 13.9k
- Cell Biology 15.0k
- Aging 1.1k
Countries citing papers authored by Stephen J. Elledge
This map shows the geographic impact of Stephen J. Elledge'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 Stephen J. Elledge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen J. Elledge more than expected).
Fields of papers citing papers by Stephen J. Elledge
This network shows the impact of papers produced by Stephen J. Elledge. 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 Stephen J. Elledge. The network helps show where Stephen J. Elledge may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen J. Elledge, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 367 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The DNA Damage Response: Making It Safe to Play with Knives Hit paper breakdown → | 2010 | 3255 |
| 2 | The DNA damage response: putting checkpoints in perspective Hit paper breakdown → | 2000 | 2572 |
| 3 | ATM and ATR Substrate Analysis Reveals Extensive Protein Networks Responsive to DNA Damage Hit paper breakdown → | 2007 | 2375 |
| 4 | Sensing DNA Damage Through ATRIP Recognition of RPA-ssDNA Complexes Hit paper breakdown → | 2003 | 2103 |
| 5 | Mice Lacking p21CIP1/WAF1 undergo normal development, but are defective in G1 checkpoint control Hit paper breakdown → | 1995 | 1818 |
| 6 | Cell Cycle Checkpoints: Preventing an Identity Crisis Hit paper breakdown → | 1996 | 1667 |
| 7 | Dicer is essential for mouse development Hit paper breakdown → | 2003 | 1508 |
| 8 | Chk1 is an essential kinase that is regulated by Atr and required for the G2/M DNA damage checkpoint Hit paper breakdown → | 2000 | 1349 |
| 9 | Principles of Cancer Therapy: Oncogene and Non-oncogene Addiction Hit paper breakdown → | 2009 | 1333 |
| 10 | The DNA Damage Response: Ten Years After Hit paper breakdown → | 2007 | 1324 |
| 11 | The retinoblastoma protein associates with the protein phosphatase type 1 catalytic subunit. Hit paper breakdown → | 1993 | 1319 |
| 12 | A quantitative atlas of mitotic phosphorylation Hit paper breakdown → | 2008 | 1303 |
| 13 | p53-dependent inhibition of cyclin-dependent kinase activities in human fibroblasts during radiation-induced G1 arrest Hit paper breakdown → | 1994 | 1282 |
| 14 | Structure of the Cul1–Rbx1–Skp1–F boxSkp2 SCF ubiquitin ligase complex Hit paper breakdown → | 2002 | 1216 |
| 15 | SKP1 Connects Cell Cycle Regulators to the Ubiquitin Proteolysis Machinery through a Novel Motif, the F-Box Hit paper breakdown → | 1996 | 1179 |
| 16 | Identification of Host Proteins Required for HIV Infection Through a Functional Genomic Screen Hit paper breakdown → | 2008 | 1149 |
| 17 | Longitudinal analysis reveals high prevalence of Epstein-Barr virus associated with multiple sclerosis Hit paper breakdown → | 2022 | 1127 |
| 18 | Conservation of the Chk1 Checkpoint Pathway in Mammals: Linkage of DNA Damage to Cdk Regulation Through Cdc25 Hit paper breakdown → | 1997 | 1061 |
| 19 | F-Box Proteins Are Receptors that Recruit Phosphorylated Substrates to the SCF Ubiquitin-Ligase Complex Hit paper breakdown → | 1997 | 1037 |
| 20 | DNA Damage-Induced Activation of p53 by the Checkpoint Kinase Chk2 Hit paper breakdown → | 2000 | 1031 |
About Stephen J. Elledge
Stephen J. Elledge is a scholar working on Molecular Biology, Oncology, Cell Biology, Genetics and Cancer Research, having authored 367 papers that have together received 93.0k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (121 papers), Cancer-related Molecular Pathways (70 papers), Ubiquitin and proteasome pathways (69 papers), Microtubule and mitosis dynamics (60 papers), CRISPR and Genetic Engineering (46 papers), Genomics and Chromatin Dynamics (46 papers), Epigenetics and DNA Methylation (32 papers) and Fungal and yeast genetics research (27 papers). The work is most often cited by research in Molecular Biology (76.0k citations), Oncology (27.7k citations), Cancer Research (13.9k citations), Cell Biology (15.0k citations) and Aging (1.1k citations). Stephen J. Elledge has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include J. Wade Harper, Alberto Ciccia, Lee Zou, Bin‐Bing S. Zhou, Mamie Z. Li, David Cortez, Ji Luo, Shuhei Matsuoka, Ronald W. Davis and Nicole L. Solimini. Their work appears in journals such as Proceedings of the National Academy of Sciences, Science, Genes & Development, Cell and Molecular Cell.
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.