Steven E. Brenner
Impact in
- Molecular Biology top 0.1%
- Protein Structure and Dynamics
- Genomics and Phylogenetic Studies
- RNA Research and Splicing
- Machine Learning in Bioinformatics
- Bioinformatics and Genomic Networks
- Genomics and Chromatin Dynamics
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
Papers in
-
- Genomics and Phylogenetic Studies 38
- Protein Structure and Dynamics 37
- RNA Research and Splicing 16
- Bioinformatics and Genomic Networks 15
- Machine Learning in Bioinformatics 9
- Genetics 43
- Genomics and Rare Diseases 39
- Co-authors
- Tim Hubbard (15 shared papers)Cyrus Chothia (13 shared papers)Alexey G. Murzin (9 shared papers)John‐Marc Chandonia (16 shared papers)Richard Edward Green (12 shared papers)Benjamin P. Lewis (2 shared papers)Naomi K. Fox (5 shared papers)Liana F. Lareau (6 shared papers)
- Journals
- Human Mutation (18 papers)Nucleic Acids Research (12 papers)Proteins Structure Function and Bioinformatics (8 papers)Nature (7 papers)Genome biology (6 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Steven E. Brenner
181 papers receiving 25.5k citations
Steven E. Brenner's Hit Papers
Peers
Comparison fields: 5 of 175
- Molecular Biology 18k
- Cancer Research 1.6k
- Genetics 2.4k
- Structural Biology 121
- Materials Chemistry 2.3k
Countries citing papers authored by Steven E. Brenner
This map shows the geographic impact of Steven E. Brenner'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 Steven E. Brenner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven E. Brenner more than expected).
Fields of papers citing papers by Steven E. Brenner
This network shows the impact of papers produced by Steven E. Brenner. 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 Steven E. Brenner. The network helps show where Steven E. Brenner may publish in the future.
Co-authors
The 25 scholars most cited alongside Steven E. Brenner, 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 184 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | SCOP: A structural classification of proteins database for the investigation of sequences and structures Hit paper breakdown → | 1995 | 5326 |
| 2 | The Transcriptional Landscape of the Mammalian Genome Hit paper breakdown → | 2005 | 2831 |
| 3 | The developmental transcriptome of Drosophila melanogaster Hit paper breakdown → | 2010 | 1185 |
| 4 | KBase: The United States Department of Energy Systems Biology Knowledgebase Hit paper breakdown → | 2018 | 1137 |
| 5 | Identification of Functional Elements and Regulatory Circuits by Drosophila modENCODE Hit paper breakdown → | 2010 | 944 |
| 6 | Evidence for the widespread coupling of alternative splicing and nonsense-mediated mRNA decay in humans Hit paper breakdown → | 2002 | 835 |
| 7 | Data growth and its impact on the SCOP database: new developments Hit paper breakdown → | 2007 | 809 |
| 8 | SCOP: a Structural Classification of Proteins database Hit paper breakdown → | 1997 | 800 |
| 9 | A large-scale evaluation of computational protein function prediction Hit paper breakdown → | 2013 | 757 |
| 10 | The Sorcerer II Global Ocean Sampling Expedition: Expanding the Universe of Protein Families Hit paper breakdown → | 2007 | 693 |
| 11 | SCOPe: Structural Classification of Proteins—extended, integrating SCOP and ASTRAL data and classification of new structures Hit paper breakdown → | 2013 | 596 |
| 12 | 2010 | 524 | |
| 13 | 2007 | 499 | |
| 14 | 1998 | 416 | |
| 15 | 2000 | 409 | |
| 16 | Calibration of computational tools for missense variant pathogenicity classification and ClinGen recommendations for PP3/BP4 criteria Hit paper breakdown → | 2022 | 319 |
| 17 | 2012 | 316 | |
| 18 | 2019 | 315 | |
| 19 | 2006 | 307 | |
| 20 | 2016 | 292 |
About Steven E. Brenner
Steven E. Brenner is a scholar working on Molecular Biology, Genetics, Health Informatics, Materials Chemistry and Information Systems and Management, having authored 184 papers that have together received 26.1k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (39 papers), Genomics and Phylogenetic Studies (38 papers), Protein Structure and Dynamics (37 papers), Enzyme Structure and Function (30 papers), RNA Research and Splicing (16 papers), Bioinformatics and Genomic Networks (15 papers), Artificial Intelligence in Healthcare and Education (13 papers) and Machine Learning in Bioinformatics (9 papers). The work is most often cited by research in Molecular Biology (18k citations), Cancer Research (1.6k citations), Genetics (2.4k citations), Structural Biology (121 citations) and Materials Chemistry (2.3k citations). Steven E. Brenner has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Tim Hubbard, Cyrus Chothia, Alexey G. Murzin, John‐Marc Chandonia, Richard Edward Green, Benjamin P. Lewis, Naomi K. Fox, Liana F. Lareau, Sandrine Dudoit and Kasper D. Hansen. Their work appears in journals such as Human Mutation, Nucleic Acids Research, Proteins Structure Function and Bioinformatics, Nature and Genome biology.
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.