Michael J.E. Sternberg
Impact in
- Molecular Biology top 0.05%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- Glycosylation and Glycoproteins Research
- Computational Theory and Mathematics top 0.05%
- Computational Drug Discovery Methods
Papers in
-
- Protein Structure and Dynamics 147
- Machine Learning in Bioinformatics 55
- RNA and protein synthesis mechanisms 50
- Glycosylation and Glycoproteins Research 37
- Bioinformatics and Genomic Networks 32
- Genomics and Phylogenetic Studies 31
-
- Enzyme Structure and Function 79
- Co-authors
- Lawrence A. Kelley (30 shared papers)Mark N. Wass (13 shared papers)Christopher M. Yates (4 shared papers)Robert M. MacCallum (10 shared papers)Ross D. King (26 shared papers)Paul A. Bates (21 shared papers)Richard M. Jackson (11 shared papers)Janet M. Thornton (14 shared papers)
- Journals
- Journal of Molecular Biology (63 papers)Protein Engineering Design and Selection (28 papers)Proteins Structure Function and Bioinformatics (22 papers)Nature (9 papers)Bioinformatics (9 papers)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Michael J.E. Sternberg
317 papers receiving 35.0k citations
Michael J.E. Sternberg's Hit Papers
Peers
Comparison fields: 5 of 219
- Molecular Biology 24.1k
- Computational Theory and Mathematics 3.5k
- Biotechnology 1.1k
- Materials Chemistry 5.8k
- Cell Biology 2.0k
Countries citing papers authored by Michael J.E. Sternberg
This map shows the geographic impact of Michael J.E. Sternberg'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 Michael J.E. Sternberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J.E. Sternberg more than expected).
Fields of papers citing papers by Michael J.E. Sternberg
This network shows the impact of papers produced by Michael J.E. Sternberg. 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 Michael J.E. Sternberg. The network helps show where Michael J.E. Sternberg may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael J.E. Sternberg, 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 325 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Phyre2 web portal for protein modeling, prediction and analysis Hit paper breakdown → | 2015 | 7486 |
| 2 | Protein structure prediction on the Web: a case study using the Phyre server Hit paper breakdown → | 2009 | 3625 |
| 3 | Enhanced genome annotation using structural profiles in the program 3D-PSSM 1 1Edited by J. Thornton Hit paper breakdown → | 2000 | 1338 |
| 4 | Modelling protein docking using shape complementarity, electrostatics and biochemical information 1 1Edited by J. Thornton Hit paper breakdown → | 1997 | 690 |
| 5 | Knowledge-based prediction of protein structures and the design of novel molecules Hit paper breakdown → | 1987 | 567 |
| 6 | CAPRI: A Critical Assessment of PRedicted Interactions Hit paper breakdown → | 2003 | 565 |
| 7 | 3DLigandSite: predicting ligand-binding sites using similar structures Hit paper breakdown → | 2010 | 536 |
| 8 | 2001 | 494 | |
| 9 | How to develop a more accurate risk prediction model when there are few events Hit paper breakdown → | 2015 | 469 |
| 10 | A Highly Conserved Program of Neuronal Microexons Is Misregulated in Autistic Brains Hit paper breakdown → | 2014 | 469 |
| 11 | 2013 | 463 | |
| 12 | 1987 | 428 | |
| 13 | 1993 | 418 | |
| 14 | 1979 | 391 | |
| 15 | 1987 | 390 | |
| 16 | 2002 | 384 | |
| 17 | 1996 | 383 | |
| 18 | 1987 | 370 | |
| 19 | 2007 | 362 | |
| 20 | Can Predicted Protein 3D Structures Provide Reliable Insights into whether Missense Variants Are Disease Associated? Hit paper breakdown → | 2019 | 311 |
About Michael J.E. Sternberg
Michael J.E. Sternberg is a scholar working on Molecular Biology, Materials Chemistry, Computational Theory and Mathematics, Artificial Intelligence and Spectroscopy, having authored 325 papers that have together received 36.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (147 papers), Enzyme Structure and Function (79 papers), Machine Learning in Bioinformatics (55 papers), RNA and protein synthesis mechanisms (50 papers), Computational Drug Discovery Methods (46 papers), Glycosylation and Glycoproteins Research (37 papers), Bioinformatics and Genomic Networks (32 papers) and Genomics and Phylogenetic Studies (31 papers). The work is most often cited by research in Molecular Biology (24.1k citations), Computational Theory and Mathematics (3.5k citations), Biotechnology (1.1k citations), Materials Chemistry (5.8k citations) and Cell Biology (2.0k citations). Michael J.E. Sternberg has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Lawrence A. Kelley, Mark N. Wass, Christopher M. Yates, Robert M. MacCallum, Ross D. King, Paul A. Bates, Richard M. Jackson, Janet M. Thornton, Henry A. Gabb and Geoffrey J. Barton. Their work appears in journals such as Journal of Molecular Biology, Protein Engineering Design and Selection, Proteins Structure Function and Bioinformatics, Nature and Bioinformatics.
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.