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Biology and Biochemistry

D-Index
74
Citations
24167
World Ranking
5506
National Ranking
2616

Overview

Rhiju Das is affiliated with Stanford University in the United States and has contributed extensively to the field of biochemistry, genetics, and molecular biology.

Their research primarily focuses on molecular biology, with significant work in subfields such as ecology, materials chemistry, infectious diseases, and structural biology.

Research topics covered by Rhiju Das include:

  • RNA and protein synthesis mechanisms
  • RNA modifications and cancer
  • RNA research and splicing
  • Bacteriophages and microbial interactions
  • Protein structure and dynamics
  • Viral gastroenteritis research and epidemiology
  • CRISPR and genetic engineering

Recent publications by Rhiju Das showcase a range of studies in RNA structure and molecular modeling:

  • Macromolecular modeling and design in Rosetta: recent methods and frameworks (2020, Nature Methods)
  • Geometric deep learning of RNA structure (2021, Science)
  • Combinatorial optimization of mRNA structure, stability, and translation for RNA-based therapeutics (2022, Nature Communications)
  • RNA genome conservation and secondary structure in SARS-CoV-2 and SARS-related viruses: a first look (2020, RNA)
  • FARFAR2: Improved De Novo Rosetta Prediction of Complex Global RNA Folds (2020, Structure)

Frequent co-authors collaborating with Rhiju Das include:

  • Rachael C. Kretsch
  • Andrew M. Watkins
  • Ramya Rangan
  • Wah Chiu
  • Wipapat Kladwang

The scientist has published repeatedly in venues such as:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Proteins Structure Function and Bioinformatics
  • UNC Libraries
  • EMPIAR dataset
  • Nature Methods

Best Publications

  • ROSETTA3: an object-oriented software suite for the simulation and design of macromolecules.

    Andrew Leaver-Fay;Michael Tyka;Steven M. Lewis;Oliver F. Lange

  • The Rosetta All-Atom Energy Function for Macromolecular Modeling and Design.

    Rebecca F. Alford;Andrew Leaver-Fay;Jeliazko R. Jeliazkov;Matthew J. O’Meara

  • Macromolecular Modeling with Rosetta

    Rhiju Das;David Baker

  • Macromolecular modeling and design in Rosetta: recent methods and frameworks

    Julia Koehler Leman;Brian D. Weitzner;Brian D. Weitzner;Steven M. Lewis;Steven M. Lewis;Jared Adolf-Bryfogle

  • Functional 5′ UTR mRNA structures in eukaryotic translation regulation and how to find them

    Kathrin Leppek;Rhiju Das;Maria Barna

  • Structure prediction for CASP8 with all‐atom refinement using Rosetta

    Srivatsan Raman;Robert Vernon;James Thompson;Michael Tyka

  • Automated de novo prediction of native-like RNA tertiary structures

    Rhiju Das;David Baker

  • Understanding Nucleic Acid–Ion Interactions

    Jan Lipfert;Sebastian Doniach;Rhiju Das;Daniel Herschlag

  • Are Protein Force Fields Getting Better? A Systematic Benchmark on 524 Diverse NMR Measurements.

    Kyle A. Beauchamp;Yu-Shan Lin;Rhiju Das;Vijay S. Pande

  • Serverification of molecular modeling applications: the Rosetta Online Server that Includes Everyone (ROSIE).

    Sergey Lyskov;Fang Chieh Chou;Shane Ó Conchúir;Bryan S. Der

  • Spontaneous driving forces give rise to protein-RNA condensates with coexisting phases and complex material properties.

    Steven Boeynaems;Alex S. Holehouse;Venera Weinhardt;Venera Weinhardt;Denes Kovacs

  • Atomic accuracy in predicting and designing noncanonical RNA structure

    Rhiju Das;John Karanicolas;J. David Baker

  • SAFA: Semi-automated footprinting analysis software for high-throughput quantification of nucleic acid footprinting experiments

    Rhiju Das;Alain Laederach;Samuel M. Pearlman;Daniel Herschlag

  • High-resolution structure prediction and the crystallographic phase problem

    Bin Qian;Srivatsan Raman;Rhiju Das;Philip Bradley

  • Coarse-grained modeling of large RNA molecules with knowledge-based potentials and structural filters

    Magdalena A. Jonikas;Randall J. Radmer;Alain Laederach;Rhiju Das

  • RNA design rules from a massive open laboratory

    Jeehyung Lee;Wipapat Kladwang;Minjae Lee;Daniel Cantu

  • RNA regulons in Hox 5′ UTRs confer ribosome specificity to gene regulation

    Shifeng Xue;Siqi Tian;Kotaro Fujii;Wipapat Kladwang

  • RNA-Puzzles: A CASP-like evaluation of RNA three-dimensional structure prediction

    José Almeida Cruz;Marc Frédérick Blanchet;Michal Boniecki;Janusz M. Bujnicki;Janusz M. Bujnicki

  • Geometric deep learning of RNA structure.

    Raphael J. L. Townshend;Stephan Eismann;Andrew M. Watkins;Ramya Rangan

  • Structure prediction for CASP7 targets using extensive all-atom refinement with Rosetta@home.

    Rhiju Das;Bin Qian;Srivatsan Raman;Robert Vernon

Frequent Co-Authors

A. C. Weber
A. C. Weber University of Oxford
Kate Scholberg
Kate Scholberg Duke University
C. W. Walter
C. W. Walter Duke University
Daniel Herschlag
Daniel Herschlag Stanford University
E. Rondio
E. Rondio University of Warsaw
Gareth J. Barker
Gareth J. Barker King's College London

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