Steven E. Brenner
- Molecular Biology top 0.05%
- RNA and protein synthesis mechanisms 47
- Genomics and Phylogenetic Studies 31
- Protein Structure and Dynamics 29
- Machine Learning in Bioinformatics 24
- RNA Research and Splicing 20
- RNA modifications and cancer 14
- Genetics top 0.5%
- Genomics and Rare Diseases 17
- Structural Biology top 2%
- Endocrinology top 1%
- Materials Chemistry top 1%
- Enzyme Structure and Function 24
- Co-authors
- John‐Marc ChandoniaGavin E. CrooksGary C. HonTim HubbardC. ChothiaAlexey G. MurzinRichard E. GreenBenjamin P. Lewis
- Journals
- Nucleic Acids Research (9 papers)Proteins Structure Function and Bioinformatics (7 papers)Human Mutation (6 papers)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Steven E. Brenner
140 papers receiving 23.3k citations
Hit Papers
Peers
Comparison fields: 5 of 191
- Molecular Biology 19.2k
- Genetics 2.7k
- Structural Biology 109
- Endocrinology 396
- Materials Chemistry 3.4k
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 5 | |
| 2 | 2023 | 14 | |
| 3 | 2021 | 29 | |
| 4 | 2021 | 11 | |
| 5 | 2021 | 86 | |
| 6 | 2019 | 37 | |
| 7 | 2019 | 20 | |
| 8 | 2016 | 54 | |
| 9 | 2016 | 77 | |
| 10 | 2015 | 6 | |
| 11 | 2015 | 16 | |
| 12 | 2015 | 61 | |
| 13 | 2010 | 480 | |
| 14 | 2000 | 406 | |
| 15 | 1999 | 243 | |
| 16 | 1999 | 41 | |
| 17 | Population statistics of protein structures | 1997 | 5 |
| 18 | Understanding protein structure | 1996 | 3 |
| 19 | 1996 | 76 | |
| 20 | Proceedings Of The Third International Conference On Intelligent Systems For Molecular Biology | 1995 | 64 |
About Steven E. Brenner
Steven E. Brenner is a scholar working on Health Informatics, Structural Biology and Molecular Biology, having authored 141 papers that have together received 23.7k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (47 papers), Genomics and Phylogenetic Studies (31 papers), Protein Structure and Dynamics (29 papers), Machine Learning in Bioinformatics (24 papers), Enzyme Structure and Function (24 papers), RNA Research and Splicing (20 papers), Genomics and Rare Diseases (17 papers) and RNA modifications and cancer (14 papers). The work is most often cited by research in Molecular Biology (19.2k citations), Genetics (2.7k citations) and Structural Biology (109 citations). Steven E. Brenner has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include John‐Marc Chandonia, Gavin E. Crooks, Gary C. Hon, Tim Hubbard, C. Chothia, Alexey G. Murzin, Richard E. Green, Benjamin P. Lewis, Liana F. Lareau and Naomi K. Fox. Their work appears in journals such as Nucleic Acids Research, Proteins Structure Function and Bioinformatics, Human Mutation, Genome Research and Journal of Molecular 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.