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Peter Güntert

Peter Güntert

ETH Zurich
Switzerland

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Chemistry 79 3543 3210 82 72 311 29427

Peter Güntert publications per year

The chart shows the history of publications by Peter Güntert between 1989 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Peter Güntert published across 37 years, from 1989 to 2025, averaging 9.4 papers a year. Output peaked at 20 publications in 2009. 10 of the 348 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1989 to 2025. Vertical axis: number of publications, 0 to 20. Peak 20 publications in 2009. 1989: 1 publication 1990: 0 publications 1991: 5 publications 1992: 6 publications 1993: 6 publications 1994: 3 publications 1995: 4 publications 1996: 8 publications 1997: 7 publications 1998: 7 publications 1999: 2 publications 2000: 7 publications 2001: 6 publications 2002: 10 publications 2003: 9 publications 2004: 9 publications 2005: 15 publications 2006: 17 publications 2007: 5 publications 2008: 16 publications 2009: 20 publications 2010: 8 publications 2011: 14 publications 2012: 18 publications 2013: 16 publications 2014: 16 publications 2015: 13 publications 2016: 11 publications 2017: 10 publications 2018: 15 publications 2019: 12 publications 2020: 8 publications 2021: 12 publications 2022: 13 publications 2023: 9 publications 2024: 5 publications 2025: 5 publications
1989 2025

348 publications in total across all disciplines

View publications per year as a table
Peter Güntert: publications per year, 1989 to 2025
Year Publications
1989 1
1990 0
1991 5
1992 6
1993 6
1994 3
1995 4
1996 8
1997 7
1998 7
1999 2
2000 7
2001 6
2002 10
2003 9
2004 9
2005 15
2006 17
2007 5
2008 16
2009 20
2010 8
2011 14
2012 18
2013 16
2014 16
2015 13
2016 11
2017 10
2018 15
2019 12
2020 8
2021 12
2022 13
2023 9
2024 5
2025 5
Total 348
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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.

No. of scientists
250 500 750 1,000 1,250
Bar chart with 63 bars. Horizontal axis: publications, 61–80 to 1,295+. Vertical axis: number of scientists, 0 to 1,350. Most scientists, 1,350, have 161–180 publications. The last bar groups every scientist with 1,295 publications or more. The highlighted bar, 301–320 publications, is where this scientist sits. 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
61–80 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.

View publications distribution as a table
Number of Chemistry scientists by publication count, Research.com 2026 ranking edition. Based on 17,934 ranked scientists.
Publications Scientists This scientist
61–80 66
81–100 302
101–120 623
121–140 918
141–160 1,218
161–180 1,350
181–200 1,344
201–220 1,281
221–240 1,216
241–260 1,100
261–280 979
281–300 939
301–320 764 311
321–340 643
341–360 628
361–380 522
381–400 459
401–420 397
421–440 327
441–460 270
461–480 265
481–500 252
501–520 201
521–540 185
541–560 148
561–580 148
581–600 132
601–620 114
621–640 104
641–660 91
661–680 92
681–700 73
701–720 57
721–740 54
741–760 67
761–780 45
781–800 46
801–820 39
821–840 32
841–860 36
861–880 29
881–900 26
901–920 24
921–940 14
941–960 23
961–980 28
981–1,000 15
1,001–1,020 29
1,021–1,040 12
1,041–1,060 19
1,061–1,080 12
1,081–1,100 6
1,101–1,120 8
1,121–1,140 12
1,141–1,160 5
1,161–1,180 6
1,181–1,200 14
1,201–1,220 7
1,221–1,240 2
1,241–1,260 6
1,261–1,280 4
1,281–1,294 6
1,295+ 100
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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.

No. of scientists
250 500 750 1,000
Bar chart with 61 bars. Horizontal axis: D-Index, 40–41 to 159+. Vertical axis: number of scientists, 0 to 1,051. Most scientists, 1,051, have 56–57 D-Index. The last bar groups every scientist with 159 D-Index or more. The highlighted bar, 78–79 D-Index, is where this scientist sits. 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
40–41 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.

View D-Index distribution as a table
Number of Chemistry scientists by D-index, Research.com 2026 ranking edition. Based on 17,934 ranked scientists.
D-Index Scientists This scientist
40–41 289
42–43 612
44–45 808
46–47 776
48–49 835
50–51 861
52–53 872
54–55 933
56–57 1,051
58–59 930
60–61 882
62–63 834
64–65 731
66–67 775
68–69 683
70–71 646
72–73 561
74–75 501
76–77 437
78–79 388 79
80–81 354
82–83 292
84–85 275
86–87 254
88–89 235
90–91 185
92–93 192
94–95 155
96–97 163
98–99 125
100–101 105
102–103 105
104–105 112
106–107 88
108–109 68
110–111 69
112–113 65
114–115 79
116–117 61
118–119 44
120–121 37
122–123 40
124–125 33
126–127 26
128–129 34
130–131 35
132–133 25
134–135 27
136–137 17
138–139 16
140–141 20
142–143 20
144–145 15
146–147 9
148–149 9
150–151 16
152–153 11
154–155 9
156–157 3
158 3
159+ 98
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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
Shigeyuki Yokoyama
Shigeyuki Yokoyama RIKEN
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

External Links

Personal website of Peter Güntert

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Best Scientists Citing Peter Güntert

Kurt Wüthrich

Kurt Wüthrich

ETH Zurich

Publications: 220

Gaetano T. Montelione

Gaetano T. Montelione

Rensselaer Polytechnic Institute

Publications: 211

Ivano Bertini

Ivano Bertini

University of Florence

Publications: 149

David J. Craik

David J. Craik

University of Queensland

Publications: 123

Thomas Szyperski

Thomas Szyperski

University at Buffalo, State University of New York

Publications: 111

Lucia Banci

Lucia Banci

University of Florence

Publications: 108

Alexander S. Arseniev

Alexander S. Arseniev

Russian Academy of Sciences

Publications: 105

Volker Dötsch

Volker Dötsch

Goethe University Frankfurt

Publications: 96

Roland Riek

Roland Riek

ETH Zurich

Publications: 94

John L. Markley

John L. Markley

University of Wisconsin–Madison

Publications: 93

Rong Xiao

Rong Xiao

Rutgers, The State University of New Jersey

Publications: 93

Gerhard Wagner

Gerhard Wagner

Harvard University

Publications: 91

Raymond S. Norton

Raymond S. Norton

Monash University

Publications: 91

Claudio Luchinat

Claudio Luchinat

University of Florence

Publications: 84

Frédéric H.-T. Allain

Frédéric H.-T. Allain

ETH Zurich

Publications: 82

Gottfried Otting

Gottfried Otting

Australian National University

Publications: 79

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