World's Best Scientists 2026 revealed!

D-Index & Metrics

Chemistry

D-Index
71
Citations
14370
World Ranking
5703
National Ranking
1754

Rafael Brüschweiler publication distribution in Chemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Chemistry in 2026. The highlighted bar marks where Rafael Brüschweiler sits on this spectrum.

61–80 publications: 66 scientists 81–100 publications: 302 scientists 101–120 publications: 623 scientists 121–140 publications: 918 scientists 141–160 publications: 1,218 scientists 161–180 publications: 1,350 scientists 181–200 publications: 1,344 scientists 201–220 publications: 1,281 scientists 221–240 publications: 1,216 scientists 241–260 publications: 1,100 scientists 261–280 publications: 979 scientists 281–300 publications: 939 scientists 301–320 publications: 764 scientists 321–340 publications: 643 scientists 341–360 publications: 628 scientists 361–380 publications: 522 scientists 381–400 publications: 459 scientists 401–420 publications: 397 scientists 421–440 publications: 327 scientists 441–460 publications: 270 scientists 461–480 publications: 265 scientists 481–500 publications: 252 scientists 501–520 publications: 201 scientists 521–540 publications: 185 scientists 541–560 publications: 148 scientists 561–580 publications: 148 scientists 581–600 publications: 132 scientists 601–620 publications: 114 scientists 621–640 publications: 104 scientists 641–660 publications: 91 scientists 661–680 publications: 92 scientists 681–700 publications: 73 scientists 701–720 publications: 57 scientists 721–740 publications: 54 scientists 741–760 publications: 67 scientists 761–780 publications: 45 scientists 781–800 publications: 46 scientists 801–820 publications: 39 scientists 821–840 publications: 32 scientists 841–860 publications: 36 scientists 861–880 publications: 29 scientists 881–900 publications: 26 scientists 901–920 publications: 24 scientists 921–940 publications: 14 scientists 941–960 publications: 23 scientists 961–980 publications: 28 scientists 981–1,000 publications: 15 scientists 1,001–1,020 publications: 29 scientists 1,021–1,040 publications: 12 scientists 1,041–1,060 publications: 19 scientists 1,061–1,080 publications: 12 scientists 1,081–1,100 publications: 6 scientists 1,101–1,120 publications: 8 scientists 1,121–1,140 publications: 12 scientists 1,141–1,160 publications: 5 scientists 1,161–1,180 publications: 6 scientists 1,181–1,200 publications: 14 scientists 1,201–1,220 publications: 7 scientists 1,221–1,240 publications: 2 scientists 1,241–1,260 publications: 6 scientists 1,261–1,280 publications: 4 scientists 1,281–1,294 publications: 6 scientists 1,295+ publications: 100 scientists
61 publications 1,295+

This scientist: 228 publications — 42nd percentile

42% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,295 publications or more.

Rafael Brüschweiler D-index placement in Chemistry in 2026

The chart shows the D-index (discipline H-index) distribution of Chemistry scientists ranked by Research.com in 2026. The highlighted bar marks where Rafael Brüschweiler sits on this spectrum.

40–41 D-Index: 289 scientists 42–43 D-Index: 612 scientists 44–45 D-Index: 808 scientists 46–47 D-Index: 776 scientists 48–49 D-Index: 835 scientists 50–51 D-Index: 861 scientists 52–53 D-Index: 872 scientists 54–55 D-Index: 933 scientists 56–57 D-Index: 1,051 scientists 58–59 D-Index: 930 scientists 60–61 D-Index: 882 scientists 62–63 D-Index: 834 scientists 64–65 D-Index: 731 scientists 66–67 D-Index: 775 scientists 68–69 D-Index: 683 scientists 70–71 D-Index: 646 scientists 72–73 D-Index: 561 scientists 74–75 D-Index: 501 scientists 76–77 D-Index: 437 scientists 78–79 D-Index: 388 scientists 80–81 D-Index: 354 scientists 82–83 D-Index: 292 scientists 84–85 D-Index: 275 scientists 86–87 D-Index: 254 scientists 88–89 D-Index: 235 scientists 90–91 D-Index: 185 scientists 92–93 D-Index: 192 scientists 94–95 D-Index: 155 scientists 96–97 D-Index: 163 scientists 98–99 D-Index: 125 scientists 100–101 D-Index: 105 scientists 102–103 D-Index: 105 scientists 104–105 D-Index: 112 scientists 106–107 D-Index: 88 scientists 108–109 D-Index: 68 scientists 110–111 D-Index: 69 scientists 112–113 D-Index: 65 scientists 114–115 D-Index: 79 scientists 116–117 D-Index: 61 scientists 118–119 D-Index: 44 scientists 120–121 D-Index: 37 scientists 122–123 D-Index: 40 scientists 124–125 D-Index: 33 scientists 126–127 D-Index: 26 scientists 128–129 D-Index: 34 scientists 130–131 D-Index: 35 scientists 132–133 D-Index: 25 scientists 134–135 D-Index: 27 scientists 136–137 D-Index: 17 scientists 138–139 D-Index: 16 scientists 140–141 D-Index: 20 scientists 142–143 D-Index: 20 scientists 144–145 D-Index: 15 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 9 scientists 150–151 D-Index: 16 scientists 152–153 D-Index: 11 scientists 154–155 D-Index: 9 scientists 156–157 D-Index: 3 scientists 158 D-Index: 3 scientists 159+ D-Index: 98 scientists
40 D-Index 159+

This scientist: 71 D-Index — 70th percentile

70% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 159 D-Index or more.

Research.com Recognitions

  • 2008 - Fellow of American Physical Society (APS) Citation For fundamental contributions to methodology and applications of nuclear magnetic resonance spectroscopy in combination with novel computational approaches for the dynamic characterization of proteins in solution
  • 2006 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Rafael Brüschweiler is affiliated with The Ohio State University in the United States. Their primary research contributions lie at the interface of biochemistry, genetics, and molecular biology, with a significant focus on molecular biology and spectroscopy. Their work spans advanced nuclear magnetic resonance (NMR) techniques, protein structure and dynamics, as well as metabolomics and mass spectrometry studies.

The main fields of study for Rafael Brüschweiler include biochemistry, genetics, and molecular biology. More specifically, their subfields of study encompass molecular biology, spectroscopy, materials chemistry, nuclear and high energy physics, and complementary and alternative medicine.

The research topics covered in their publications feature:

  • Protein structure and dynamics
  • Enzyme structure and function
  • Advanced NMR techniques and applications
  • Metabolomics and mass spectrometry studies
  • NMR spectroscopy and applications
  • Traditional Chinese medicine studies
  • Mass spectrometry techniques and applications

Rafael Brüschweiler's recent papers include:

  • DEEP picker is a deep neural network for accurate deconvolution of complex two-dimensional NMR spectra, 2021, Nature Communications
  • Predicting protein flexibility with AlphaFold, 2023, Proteins Structure Function and Bioinformatics
  • 2D NMR-Based Metabolomics with HSQC/TOCSY NOAH Supersequences, 2021, Analytical Chemistry
  • COLMAR Lipids Web Server and Ultrahigh-Resolution Methods for Two-Dimensional Nuclear Magnetic Resonance- and Mass Spectrometry-Based Lipidomics, 2020, Journal of Proteome Research
  • Quantitative Cooperative Binding Model for Intrinsically Disordered Proteins Interacting with Nanomaterials, 2020, Journal of the American Chemical Society

They frequently publish in journals such as Analytical Chemistry, Journal of the American Chemical Society, Journal of Biomolecular NMR, The Journal of Physical Chemistry B, and Journal of Chemical Theory and Computation.

Frequent co-authors in their research include Lei Bruschweiler-Li, Dawei Li, Alexandar L. Hansen, Chunhua Yuan, and Xinyao Xiang.

Rafael Brüschweiler has received recognition as a Fellow of both the American Physical Society (APS) in 2008 for contributions to nuclear magnetic resonance spectroscopy methodology and applications, and the American Association for the Advancement of Science (AAAS) in 2006.

Best Publications

  • The future of NMR-based metabolomics.

    John L Markley;Rafael Brüschweiler;Arthur S Edison;Hamid R Eghbalnia

  • Long-range motional restrictions in a multidomain zinc-finger protein from anisotropic tumbling

    Rafael Brüschweiler;Xiubei Liao;Peter E. Wright

  • Model-Free Approach to the Dynamic Interpretation of Residual Dipolar Couplings in Globular Proteins

    Jens Meiler;Jeanine J. Prompers;Wolfgang Peti;Christian Griesinger

  • Validation of molecular dynamics simulations of biomolecules using NMR spin relaxation as benchmarks: Application to the AMBER99SB force field

    Scott A. Showalter;Rafael Brüschweiler

  • Covariance nuclear magnetic resonance spectroscopy.

    Rafael Brüschweiler;Fengli Zhang

  • Identification of slow correlated motions in proteins using residual dipolar and hydrogen-bond scalar couplings

    Guillaume Bouvignies;Pau Bernadó;Sebastian Meier;Kyuil Cho

  • General Framework for Studying the Dynamics of Folded and Nonfolded Proteins by NMR Relaxation Spectroscopy and MD Simulation

    Jeanine J. Prompers;Rafael Brüschweiler

  • Model-free analysis of protein backbone motion from residual dipolar couplings.

    Wolfgang Peti;Jens Meiler;Rafael Brüschweiler;Christian Griesinger

  • Backbone dynamics and structural characterization of the partially folded A state of ubiquitin by 1H, 13C, and 15N nuclear magnetic resonance spectroscopy.

    Bernhard Brutscher;Rafael Brüschweiler;Richard R. Ernst

  • Anisotropic Intramolecular Backbone Dynamics of Ubiquitin Characterized by NMR Relaxation and MD Computer Simulation

    S. F. Lienin;T. Bremi;B. Brutscher;R. Bruschweiler

  • NMR-based protein potentials.

    Da-Wei Li;Rafael Brüschweiler

  • NMR in Metabolomics and Natural Products Research: Two Sides of the Same Coin

    Steven L. Robinette;Rafael Brüschweiler;Frank C. Schroeder;Arthur S. Edison

  • Collective protein dynamics and nuclear spin relaxation

    Rafael Brüschweiler

  • Two-dimensional NMR spectroscopy with soft pulses

    R Brüschweiler;J.C Madsen;C Griesinger;O.W Sørensen

  • New approaches to the dynamic interpretation and prediction of NMR relaxation data from proteins.

    Rafael Brüschweiler

  • Multi-conformational peptide dynamics derived from NMR data: a new search algorithm and its application to antamanide.

    R. Brüschweiler;M. Blackledge;R. R. Ernst

  • Indirect Covariance NMR Spectroscopy

    Fengli Zhang;Rafael Brüschweiler

  • DEEP picker is a deep neural network for accurate deconvolution of complex two-dimensional NMR spectra.

    Da-Wei Li;Alexandar L Hansen;Chunhua Yuan;Lei Bruschweiler-Li

  • Theory of covariance nuclear magnetic resonance spectroscopy.

    Rafael Brüschweiler

  • LOCALLY ANISOTROPIC INTERNAL POLYPEPTIDE BACKBONE DYNAMICS BY NMR RELAXATION

    T. Bremi;R. Bruschweiler

  • One- and two-dimensional ensemble quantum computing in spin Liouville space

    Z. L. Mádi;R. Brüschweiler;R. R. Ernst

Frequent Co-Authors

Christian Griesinger
Christian Griesinger Max Planck Society
Peter E. Wright
Peter E. Wright Scripps Research Institute
David A. Case
David A. Case Rutgers, The State University of New Jersey
Ole W. Sørensen
Ole W. Sørensen Independent Scientist / Consultant, Denmark
Jens Meiler
Jens Meiler Vanderbilt University
Martin Blackledge
Martin Blackledge Grenoble Alpes University
Kalpana Ghoshal
Kalpana Ghoshal The Ohio State University
Samson T. Jacob
Samson T. Jacob The Ohio State University
Alan G. Marshall
Alan G. Marshall Florida State University

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