World's Best Scientists 2026 revealed!
Peter Güntert

Peter Güntert

D-Index & Metrics

Chemistry

D-Index
79
Citations
29427
World Ranking
3543
National Ranking
82

Peter Güntert 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 Peter Güntert 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: 311 publications — 66th percentile

66% of scientists in this discipline score the same or lower.

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

Peter Güntert 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 Peter Güntert 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: 79 D-Index — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Overview

Peter Güntert is affiliated with ETH Zurich in Switzerland and has contributed extensively to the fields of biochemistry, genetics, and molecular biology. Their research primarily focuses on molecular biology, spectroscopy, and materials chemistry, with notable work in nuclear and high energy physics as well as radiology, nuclear medicine, and imaging.

Their work spans a wide range of topics including protein structure and dynamics, enzyme structure and function, advanced NMR techniques and applications, RNA and protein synthesis mechanisms, metabolomics and mass spectrometry studies, machine learning in bioinformatics, and NMR spectroscopy and its applications.

Peter Güntert has published extensively in several prominent scientific venues. Frequent publication outlets include the Journal of the American Chemical Society, Journal of Biomolecular NMR, Biomolecular NMR Assignments, bioRxiv (Cold Spring Harbor Laboratory), and Nature Communications.

  • Rapid protein assignments and structures from raw NMR spectra with the deep learning technique ARTINA, 2022, Nature Communications
  • The three-dimensional structure of human β-endorphin amyloid fibrils, 2020, Nature Structural & Molecular Biology
  • Automated Backbone NMR Resonance Assignment of Large Proteins Using Redundant Linking from a Single Simultaneous Acquisition, 2020, Journal of the American Chemical Society
  • Atomic-resolution chemical characterization of (2x)72-kDa tryptophan synthase via four- and five-dimensional 1 H-detected solid-state NMR, 2022, Proceedings of the National Academy of Sciences
  • Automated assignment of methyl NMR spectra from large proteins, 2020, Progress in Nuclear Magnetic Resonance Spectroscopy

Their collaborative network features frequent coauthors such as Roland Riek, Piotr Klukowski, Harindranath Kadavath, Dzmitry Ashkinadze, and T. Kigawa, reflecting ongoing research partnerships in related scientific investigations.

Best Publications

  • TORSION ANGLE DYNAMICS FOR NMR STRUCTURE CALCULATION WITH THE NEW PROGRAM DYANA

    P. Güntert;C. Mumenthaler;K. Wüthrich

  • The program XEASY for computer-supported NMR spectral analysis of biological macromolecules.

    Christian Bartels;Tai-he Xia;Martin Billeter;Peter Güntert

  • Protein NMR structure determination with automated NOE assignment using the new software CANDID and the torsion angle dynamics algorithm DYANA.

    Torsten Herrmann;Peter Güntert;Kurt Wüthrich

  • Automated NMR structure calculation with CYANA.

    Peter Güntert

  • Efficient computation of three-dimensional protein structures in solution from nuclear magnetic resonance data using the program DIANA and the supporting programs CALIBA, HABAS and GLOMSA.

    Peter Güntert;Werner Braun;Kurt Wüthrich

  • Atomic-resolution structure of a disease-relevant Aβ(1–42) amyloid fibril

    Marielle Aulikki Wälti;Francesco Ravotti;Hiromi Arai;Charles G. Glabe

  • Optimal isotope labelling for NMR protein structure determinations

    Masatsune Kainosho;Takuya Torizawa;Yuki Iwashita;Tsutomu Terauchi

  • Protein NMR structure determination with automated NOE-identification in the NOESY spectra using the new software ATNOS

    Torsten Herrmann;Peter Güntert;Kurt Wüthrich

  • Combined automated NOE assignment and structure calculation with CYANA

    Peter Güntert;Peter Güntert;Peter Güntert;Lena Buchner

  • Improved efficiency of protein structure calculations from NMR data using the program DIANA with redundant dihedral angle constraints.

    Peter Güntert;Kurt Wüthrich

  • Protein structure determination in living cells by in-cell NMR spectroscopy

    Daisuke Sakakibara;Atsuko Sasaki;Teppei Ikeya;Teppei Ikeya;Junpei Hamatsu

  • RECOORD: A recalculated coordinate database of 500+ proteins from the PDB using restraints from the BioMagResBank

    Aart J. Nederveen;Jurgen F. Doreleijers;Wim Vranken;Zachary Miller

  • Processing of multi dimensional NMR data with the new software PROSA

    Peter Güntert;Volker Dötsch;Gerhard Wider;Kurt Wüthrich

  • NMR structure reveals intramolecular regulation mechanism for pheromone binding and release.

    Reto Horst;Fred Damberger;Peter Luginbühl;Peter Güntert

  • Automated Structure Determination from NMR Spectra

    Peter Güntert;Peter Güntert;Peter Güntert

  • NMR studies in aqueous solution fail to identify significant conformational differences between the monomeric forms of two Alzheimer peptides with widely different plaque‐competence, Aβ(1–40)ox and Aβ(1–42)ox

    Roland Riek;Peter Güntert;Heinz Döbeli;Beat Wipf

  • Automated stereospecific 1H NMR assignments and their impact on the precision of protein structure determinations in solution

    Peter Güntert;Werner Braun;Martin Billeter;Kurt Wüthrich

  • Automated NMR protein structure calculation

    Peter Güntert

  • Efficient analysis of protein 2D NMR spectra using the software package EASY.

    Craig Eccles;Peter Güntert;Martin Billeter;Kurt Wüthrich

  • Atomic-resolution three-dimensional structure of amyloid β fibrils bearing the Osaka mutation.

    Anne K Schütz;Toni Vagt;Matthias Huber;Oxana Y Ovchinnikova

  • Determination of a high-quality nuclear magnetic resonance solution structure of the bovine pancreatic trypsin inhibitor and comparison with three crystal structures.

    Kurt D. Berndt;Peter Güntert;Leonard P.M. Orbons;Kurt Wüthrich

  • Structure Calculation of Biological Macromolecules From NMR Data

    Peter Güntert

Frequent Co-Authors

Kurt Wüthrich
Kurt Wüthrich ETH Zurich
Roland Riek
Roland Riek ETH Zurich
Takanori Kigawa
Takanori Kigawa RIKEN Center for Biosystems Dynamics Research
Mikako Shirouzu
Mikako Shirouzu RIKEN Center for Biosystems Dynamics Research
Frank Löhr
Frank Löhr Goethe University Frankfurt
Volker Dötsch
Volker Dötsch Goethe University Frankfurt
Takaho Terada
Takaho Terada University of Tokyo
Masatsune Kainosho
Masatsune Kainosho Tokyo Metropolitan University
Martin Billeter
Martin Billeter University of Gothenburg

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