R. Wang

Molecular Biology · with DiMaio · 2013–2020

A researcher in the Science corpus: 7 papers; trusts 16 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 363 citations into it; #4,131 of 17,773 by trust here, #2,892 by citations
• Materials Chemistry — 189 citations into it; #2,423 of 11,513 by trust here, #3,247 by citations
• Computational Biology & Bioinformatics — 68 citations into it; #337 of 660 by trust here, #303 by citations
• Spectroscopy — 45 citations into it
• Structural Biology — 21 citations into it; #195 of 224 by trust here, #65 by citations
• Surfaces, Coatings and Films — 12 citations into it

Whom R. Wang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Sjors H. W. Scheres
2. Frank DiMaio
3. David Baker
4. David C. Jones
5. Douglas L. Theobald
6. Joseph A. Mindell
7. Adam T. Zemla
8. J. Headd
9. Philip Bradley
10. Vincent B. Chen

Who trusts R. Wang overall

1. T. Croll
2. Sergey Ovchinnikov
3. Hahnbeom Park
4. S. W. Hoh
5. R. Nicholls
6. A. Walls
7. Mohammed Alquraishi
8. Jinbo Xu
9. David E. Kim
10. Frank DiMaio

Papers from R. Wang's perspective

Ordered by how strongly the researchers R. Wang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Basic local alignment search tool.
2. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
3. Use of knowledge-based restraints in phenix.refine to improve macromolecular refinement at low resolution
4. HHblits: lightning-fast iterative protein sequence searching by HMM-HMM alignment
5. Structure prediction for CASP8 with all-atom refinement using Rosetta
6. MolProbity: all-atom contacts and structure validation for proteins and nucleic acids
7. Modeling T cell receptor recognition of CD1-lipid and MR1-metabolite complexes
8. T-Cell Transfer Therapy Targeting Mutant KRAS in Cancer
9. Systematic Comparison of Amber and Rosetta Energy Functions for Protein Structure Evaluation.
10. Repurposing Citizen Science Games as Software Tools for Professional Scientists

Their papers

• High resolution comparative modeling with RosettaCM (2013) — 1,047 citations
• One contact for every twelve residues allows robust and accurate topology-level protein structure modeling (2013) — 90 citations
• Improved de novo structure prediction in CASP11 by incorporating coevolution information into Rosetta (2016) — 108 citations
• Macromolecular modeling and design in Rosetta: recent methods and frameworks (2020) — 783 citations
• De novo protein structure determination from near-atomic resolution cryo-EM maps (2015) — 188 citations
• EMRinger: Side-chain-directed model and map validation for 3D Electron Cryomicroscopy (2015) — 699 citations
• Automated structure refinement of macromolecular assemblies from cryo-EM maps using Rosetta (2016) — 444 citations