Takanori Nakane

Molecular Biology · 2014–2021

A researcher in the Science corpus: 10 papers; trusts 16 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 131 citations into it; #13,975 of 17,773 by trust here, #4,614 by citations
• Structural Biology — 86 citations into it; #74 of 224 by trust here, #67 by citations
• Surfaces, Coatings and Films — 50 citations into it; #446 of 752 by trust here, #340 by citations
• Materials Chemistry — 38 citations into it; #8,798 of 11,513 by trust here, #10,400 by citations
• Computational Biology & Bioinformatics — 30 citations into it
• Genetics — 18 citations into it
• Infectious Diseases — 18 citations into it
• Radiation — 16 citations into it

Whom Takanori Nakane trusts overall

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

1. Sjors H. W. Scheres
2. Tim Grant
3. N. Grigorieff
4. A. Rohou
5. David N. Mastronarde
6. Shaoxia Chen
7. S. Zheng
8. Dari Kimanius
9. Kai Zhang
10. W. Kühlbrandt

Who trusts Takanori Nakane overall

1. Ali Punjani
2. Jasenko Zivanov
3. J. Beton
4. Wenshuai Wang
5. A. Walls
6. Audrey A. Burnim
7. David J. Fleet
8. Tristan Cragnolini
9. Anna Marie Pyle
10. Dari Kimanius

Papers from Takanori Nakane's perspective

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

1. FREALIGN: high-resolution refinement of single particle structures. (Journal of Structural Biology)
2. EMAN2: an extensible image processing suite for electron microscopy.
3. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
4. Gctf: Real-time CTF determination and correction
5. Automated electron microscope tomography using robust prediction of specimen movements.
6. Decoupled Weight Decay Regularization
7. ADADELTA: An Adaptive Learning Rate Method
8. PyTorch: An Imperative Style, High-Performance Deep Learning Library
9. Characterisation of molecular motions in cryo-EM single-particle data by multi-body refinement in RELION (bioRxiv)
10. High-resolution noise substitution to measure overfitting and validate resolution in 3D structure determination by single particle electron cryomicroscopy

Their papers

• Crystal Structure of Cas9 in Complex with Guide RNA and Target DNA (2014) — 2,037 citations
• Crystal structure of Cpf1 in complex with guide RNA and target DNA (2016) — 657 citations
• Characterisation of molecular motions in cryo-EM single-particle data by multi-body refinement in RELION (2018) — 424 citations
• Single-particle cryo-EM at atomic resolution (2020) — 712 citations
• New tools for automated high-resolution cryo-EM structure determination in RELION-3 (2018) — 4,245 citations
• New tools for automated cryo-EM single-particle analysis in RELION-4.0 (2021) — 867 citations
• Structures and distributions of SARS-CoV-2 spike proteins on intact virions (2020) — 1,048 citations
• Estimation of high-order aberrations and anisotropic magnification from cryo-EM data sets in RELION-3.1 (2019) — 632 citations
• A Bayesian approach to beam-induced motion correction in cryo-EM single-particle analysis (2018) — 793 citations
• A three dimensional movie of structural changes in bacteriorhodopsin: structure obtained 290 ns after photoexcitation (2016) — 276 citations