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Paola Picotti

Paola Picotti

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Biology and Biochemistry 57 13565 12473 243 214 142 17978

Paola Picotti publications per year

The chart shows the history of publications by Paola Picotti between 2003 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Paola Picotti published across 24 years, from 2003 to 2026, averaging 8 papers a year. Output peaked at 27 publications in 2023. 13 of the 193 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 2003 to 2026. Vertical axis: number of publications, 0 to 27. Peak 27 publications in 2023. 2003: 1 publication 2004: 3 publications 2005: 0 publications 2006: 0 publications 2007: 2 publications 2008: 5 publications 2009: 10 publications 2010: 7 publications 2011: 10 publications 2012: 6 publications 2013: 8 publications 2014: 7 publications 2015: 6 publications 2016: 9 publications 2017: 6 publications 2018: 7 publications 2019: 11 publications 2020: 13 publications 2021: 9 publications 2022: 10 publications 2023: 27 publications 2024: 23 publications 2025: 10 publications 2026: 3 publications
2003 2026

193 publications in total across all disciplines

View publications per year as a table
Paola Picotti: publications per year, 2003 to 2026
Year Publications
2003 1
2004 3
2005 0
2006 0
2007 2
2008 5
2009 10
2010 7
2011 10
2012 6
2013 8
2014 7
2015 6
2016 9
2017 6
2018 7
2019 11
2020 13
2021 9
2022 10
2023 27
2024 23
2025 10
2026 3
Total 193
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Paola Picotti publication distribution in Biology and Biochemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Biology and Biochemistry in 2026. The highlighted bar marks where Paola Picotti sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 100 bars. Horizontal axis: publications, 47–56 to 1,028+. Vertical axis: number of scientists, 0 to 980. Most scientists, 980, have 127–136 publications. The last bar groups every scientist with 1,028 publications or more. The highlighted bar, 137–146 publications, is where this scientist sits. 47–56 publications: 8 scientists 57–66 publications: 35 scientists 67–76 publications: 106 scientists 77–86 publications: 231 scientists 87–96 publications: 413 scientists 97–106 publications: 546 scientists 107–116 publications: 704 scientists 117–126 publications: 848 scientists 127–136 publications: 980 scientists 137–146 publications: 942 scientists 147–156 publications: 969 scientists 157–166 publications: 949 scientists 167–176 publications: 951 scientists 177–186 publications: 915 scientists 187–196 publications: 787 scientists 197–206 publications: 840 scientists 207–216 publications: 733 scientists 217–226 publications: 708 scientists 227–236 publications: 651 scientists 237–246 publications: 605 scientists 247–256 publications: 510 scientists 257–266 publications: 524 scientists 267–276 publications: 434 scientists 277–286 publications: 417 scientists 287–296 publications: 350 scientists 297–306 publications: 363 scientists 307–316 publications: 315 scientists 317–326 publications: 296 scientists 327–336 publications: 261 scientists 337–346 publications: 240 scientists 347–356 publications: 219 scientists 357–366 publications: 196 scientists 367–376 publications: 154 scientists 377–386 publications: 161 scientists 387–396 publications: 155 scientists 397–406 publications: 145 scientists 407–416 publications: 124 scientists 417–426 publications: 112 scientists 427–436 publications: 132 scientists 437–446 publications: 116 scientists 447–456 publications: 99 scientists 457–466 publications: 81 scientists 467–476 publications: 91 scientists 477–486 publications: 80 scientists 487–496 publications: 80 scientists 497–506 publications: 59 scientists 507–516 publications: 36 scientists 517–526 publications: 46 scientists 527–536 publications: 54 scientists 537–546 publications: 44 scientists 547–556 publications: 43 scientists 557–566 publications: 43 scientists 567–576 publications: 42 scientists 577–586 publications: 25 scientists 587–596 publications: 34 scientists 597–606 publications: 23 scientists 607–616 publications: 33 scientists 617–626 publications: 31 scientists 627–636 publications: 27 scientists 637–646 publications: 25 scientists 647–656 publications: 28 scientists 657–666 publications: 34 scientists 667–676 publications: 18 scientists 677–686 publications: 16 scientists 687–696 publications: 10 scientists 697–706 publications: 12 scientists 707–716 publications: 21 scientists 717–726 publications: 12 scientists 727–736 publications: 12 scientists 737–746 publications: 10 scientists 747–756 publications: 7 scientists 757–766 publications: 13 scientists 767–776 publications: 15 scientists 777–786 publications: 13 scientists 787–796 publications: 9 scientists 797–806 publications: 9 scientists 807–816 publications: 7 scientists 817–826 publications: 4 scientists 827–836 publications: 9 scientists 837–846 publications: 7 scientists 847–856 publications: 3 scientists 857–866 publications: 5 scientists 867–876 publications: 5 scientists 877–886 publications: 11 scientists 887–896 publications: 3 scientists 897–906 publications: 4 scientists 907–916 publications: 7 scientists 917–926 publications: 5 scientists 927–936 publications: 6 scientists 937–946 publications: 6 scientists 947–956 publications: 3 scientists 957–966 publications: 7 scientists 967–976 publications: 2 scientists 977–986 publications: 2 scientists 987–996 publications: 1 scientist 997–1,006 publications: 5 scientists 1,007–1,016 publications: 2 scientists 1,017–1,026 publications: 2 scientists 1,027 publications: 1 scientist 1,028+ publications: 100 scientists
47–56 publications 1,028+

This scientist: 142 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,028 publications or more.

View publications distribution as a table
Number of Biology and Biochemistry scientists by publication count, Research.com 2026 ranking edition. Based on 19,587 ranked scientists.
Publications Scientists This scientist
47–56 8
57–66 35
67–76 106
77–86 231
87–96 413
97–106 546
107–116 704
117–126 848
127–136 980
137–146 942 142
147–156 969
157–166 949
167–176 951
177–186 915
187–196 787
197–206 840
207–216 733
217–226 708
227–236 651
237–246 605
247–256 510
257–266 524
267–276 434
277–286 417
287–296 350
297–306 363
307–316 315
317–326 296
327–336 261
337–346 240
347–356 219
357–366 196
367–376 154
377–386 161
387–396 155
397–406 145
407–416 124
417–426 112
427–436 132
437–446 116
447–456 99
457–466 81
467–476 91
477–486 80
487–496 80
497–506 59
507–516 36
517–526 46
527–536 54
537–546 44
547–556 43
557–566 43
567–576 42
577–586 25
587–596 34
597–606 23
607–616 33
617–626 31
627–636 27
637–646 25
647–656 28
657–666 34
667–676 18
677–686 16
687–696 10
697–706 12
707–716 21
717–726 12
727–736 12
737–746 10
747–756 7
757–766 13
767–776 15
777–786 13
787–796 9
797–806 9
807–816 7
817–826 4
827–836 9
837–846 7
847–856 3
857–866 5
867–876 5
877–886 11
887–896 3
897–906 4
907–916 7
917–926 5
927–936 6
937–946 6
947–956 3
957–966 7
967–976 2
977–986 2
987–996 1
997–1,006 5
1,007–1,016 2
1,017–1,026 2
1,027 1
1,028+ 100
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Paola Picotti D-index placement in Biology and Biochemistry in 2026

The chart shows the D-index (discipline H-index) distribution of Biology and Biochemistry scientists ranked by Research.com in 2026. The highlighted bar marks where Paola Picotti sits on this spectrum.

No. of scientists
250 500 750 1,000 1,250
Bar chart with 65 bars. Horizontal axis: D-Index, 40–41 to 167+. Vertical axis: number of scientists, 0 to 1,253. Most scientists, 1,253, have 58–59 D-Index. The last bar groups every scientist with 167 D-Index or more. The highlighted bar, 56–57 D-Index, is where this scientist sits. 40–41 D-Index: 80 scientists 42–43 D-Index: 183 scientists 44–45 D-Index: 316 scientists 46–47 D-Index: 504 scientists 48–49 D-Index: 718 scientists 50–51 D-Index: 899 scientists 52–53 D-Index: 1,025 scientists 54–55 D-Index: 1,149 scientists 56–57 D-Index: 1,235 scientists 58–59 D-Index: 1,253 scientists 60–61 D-Index: 1,162 scientists 62–63 D-Index: 1,130 scientists 64–65 D-Index: 1,031 scientists 66–67 D-Index: 897 scientists 68–69 D-Index: 814 scientists 70–71 D-Index: 714 scientists 72–73 D-Index: 709 scientists 74–75 D-Index: 596 scientists 76–77 D-Index: 512 scientists 78–79 D-Index: 473 scientists 80–81 D-Index: 412 scientists 82–83 D-Index: 373 scientists 84–85 D-Index: 358 scientists 86–87 D-Index: 285 scientists 88–89 D-Index: 273 scientists 90–91 D-Index: 227 scientists 92–93 D-Index: 208 scientists 94–95 D-Index: 193 scientists 96–97 D-Index: 153 scientists 98–99 D-Index: 157 scientists 100–101 D-Index: 148 scientists 102–103 D-Index: 120 scientists 104–105 D-Index: 113 scientists 106–107 D-Index: 100 scientists 108–109 D-Index: 86 scientists 110–111 D-Index: 67 scientists 112–113 D-Index: 71 scientists 114–115 D-Index: 73 scientists 116–117 D-Index: 64 scientists 118–119 D-Index: 53 scientists 120–121 D-Index: 60 scientists 122–123 D-Index: 54 scientists 124–125 D-Index: 43 scientists 126–127 D-Index: 38 scientists 128–129 D-Index: 49 scientists 130–131 D-Index: 26 scientists 132–133 D-Index: 18 scientists 134–135 D-Index: 23 scientists 136–137 D-Index: 32 scientists 138–139 D-Index: 32 scientists 140–141 D-Index: 27 scientists 142–143 D-Index: 19 scientists 144–145 D-Index: 22 scientists 146–147 D-Index: 12 scientists 148–149 D-Index: 16 scientists 150–151 D-Index: 14 scientists 152–153 D-Index: 10 scientists 154–155 D-Index: 13 scientists 156–157 D-Index: 10 scientists 158–159 D-Index: 7 scientists 160–161 D-Index: 9 scientists 162–163 D-Index: 13 scientists 164–165 D-Index: 4 scientists 166 D-Index: 4 scientists 167+ D-Index: 98 scientists
40–41 D-Index 167+

This scientist: 57 D-Index — 31st percentile

31% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 167 D-Index or more.

View D-Index distribution as a table
Number of Biology and Biochemistry scientists by D-index, Research.com 2026 ranking edition. Based on 19,587 ranked scientists.
D-Index Scientists This scientist
40–41 80
42–43 183
44–45 316
46–47 504
48–49 718
50–51 899
52–53 1,025
54–55 1,149
56–57 1,235 57
58–59 1,253
60–61 1,162
62–63 1,130
64–65 1,031
66–67 897
68–69 814
70–71 714
72–73 709
74–75 596
76–77 512
78–79 473
80–81 412
82–83 373
84–85 358
86–87 285
88–89 273
90–91 227
92–93 208
94–95 193
96–97 153
98–99 157
100–101 148
102–103 120
104–105 113
106–107 100
108–109 86
110–111 67
112–113 71
114–115 73
116–117 64
118–119 53
120–121 60
122–123 54
124–125 43
126–127 38
128–129 49
130–131 26
132–133 18
134–135 23
136–137 32
138–139 32
140–141 27
142–143 19
144–145 22
146–147 12
148–149 16
150–151 14
152–153 10
154–155 13
156–157 10
158–159 7
160–161 9
162–163 13
164–165 4
166 4
167+ 98
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Research.com Recognitions

  • 2020 - German National Academy of Sciences Leopoldina - Deutsche Akademie der Naturforscher Leopoldina – Nationale Akademie der Wissenschaften Genetics/Molecular Biology and Cell Biology

Overview

Paola Picotti is affiliated with ETH Zurich in Switzerland and has contributed extensively to the fields of biochemistry, genetics, and molecular biology. Their research spans multiple subfields including molecular biology, spectroscopy, neurology, physiology, and genetics, reflecting a broad interdisciplinary approach.

The main topics of their work involve advanced proteomics techniques and applications, research on Alzheimer's disease, studies of Parkinson's disease mechanisms and treatments, as well as investigations into connexins and lens biology. Other notable subjects include research on Yersinia bacterium, plague, ectoparasites, enzyme structure and function, and computational drug discovery methods.

Frequent co-authors in their publications include Natalie de Souza, Dina Schuster, Volodymyr M. Korkhov, Ilaria Piazza, and Valentina Cappelletti, highlighting a collaborative research environment.

The scientist has published numerous works in prominent venues such as bioRxiv (Cold Spring Harbor Laboratory), eLife, Nature Communications, Molecular Systems Biology, and Nature Chemical Biology.

Recent papers authored or co-authored by Paola Picotti include:

  • "A machine learning-based chemoproteomic approach to identify drug targets and binding sites in complex proteomes" (2020, Nature Communications)
  • "Dynamic 3D proteomes reveal protein functional alterations at high resolution in situ" (2020, Cell)
  • "Proteome-wide structural changes measured with limited proteolysis-mass spectrometry: an advanced protocol for high-throughput applications" (2022, Nature Protocols)
  • "Systematic detection of functional proteoform groups from bottom-up proteomic datasets" (2021, Nature Communications)
  • "protti: an R package for comprehensive data analysis of peptide- and protein-centric bottom-up proteomics data" (2021, Bioinformatics Advances)

Paola Picotti's work has been recognized at the national level, notably through the German National Academy of Sciences Leopoldina, which awarded them in 2020 for contributions in genetics, molecular biology, and cell biology.

Best Publications

  • L-Arginine Modulates T Cell Metabolism and Enhances Survival and Anti-tumor Activity.

    Roger Geiger;Roger Geiger;Jan C. Rieckmann;Tobias Wolf;Tobias Wolf;Camilla Basso

  • SELECTED REACTION MONITORING FOR QUANTITATIVE PROTEOMICS: A TUTORIAL

    Vinzenz Lange;Paola Picotti;Bruno Domon;Ruedi Aebersold

  • Selected reaction monitoring–based proteomics: workflows, potential, pitfalls and future directions

    Paola Picotti;Ruedi Aebersold;Ruedi Aebersold

  • Full Dynamic Range Proteome Analysis of S. cerevisiae by Targeted Proteomics

    Paola Picotti;Bernd Bodenmiller;Lukas N. Mueller;Bruno Domon

  • Probing protein structure by limited proteolysis.

    Angelo Fontana;Patrizia Polverino de Laureto;Barbara Spolaore;Erica Frare

  • High-throughput generation of selected reaction-monitoring assays for proteins and proteomes.

    Paola Picotti;Oliver Rinner;Robert Stallmach;Franziska Dautel

  • mProphet: automated data processing and statistical validation for large-scale SRM experiments

    Lukas Reiter;Oliver Rinner;Paola Picotti;Paola Picotti;Ruth Hüttenhain

  • A Map of Protein-Metabolite Interactions Reveals Principles of Chemical Communication

    Ilaria Piazza;Karl Kochanowski;Valentina Cappelletti;Tobias Fuhrer

  • Cell-wide analysis of protein thermal unfolding reveals determinants of thermostability

    Pascal Leuenberger;Pascal Leuenberger;Stefan Ganscha;Stefan Ganscha;Abdullah Kahraman;Valentina Cappelletti

  • Phosphoproteomic Analysis Reveals Interconnected System-Wide Responses to Perturbations of Kinases and Phosphatases in Yeast

    Bernd Bodenmiller;Stefanie Wanka;Claudine Kraft;Joerg Urban

  • A complete mass-spectrometric map of the yeast proteome applied to quantitative trait analysis

    Paola Picotti;Mathieu Clément-Ziza;Hugo Y K Lam;David S Campbell

  • Global analysis of protein structural changes in complex proteomes

    Yuehan Feng;Giorgia De Franceschi;Abdullah Kahraman;Martin Soste

  • Human SRMAtlas: A Resource of Targeted Assays to Quantify the Complete Human Proteome

    Ulrike Kusebauch;David S. Campbell;Eric W. Deutsch;Caroline S. Chu

  • Host Cell Entry of Respiratory Syncytial Virus Involves Macropinocytosis Followed by Proteolytic Activation of the F Protein

    Magdalena Anna Krzyzaniak;Michael Thomas Zumstein;Juan Atilio Gerez;Paola Picotti

  • Accumulation of oligomer-prone α-synuclein exacerbates synaptic and neuronal degeneration in vivo.

    Edward Rockenstein;Silke Nuber;Cassia R. Overk;Kiren Ubhi

  • PhosphoPep--a database of protein phosphorylation sites in model organisms.

    Bernd Bodenmiller;David Campbell;Bertran Gerrits;Henry H N Lam

  • The Implications of Proteolytic Background for Shotgun Proteomics

    Paola Picotti;Ruedi Aebersold;Ruedi Aebersold;Bruno Domon

  • A database of mass spectrometric assays for the yeast proteome

    Paola Picotti;Henry H N Lam;Henry H N Lam;David Campbell;Eric W. Deutsch

  • Measuring protein structural changes on a proteome-wide scale using limited proteolysis-coupled mass spectrometry.

    Simone Schopper;Abdullah Kahraman;Pascal Leuenberger;Yuehan Feng

  • Cancer genetics-guided discovery of serum biomarker signatures for diagnosis and prognosis of prostate cancer

    Igor Cima;Ralph Schiess;Peter Wild;Martin Kaelin

Frequent Co-Authors

Matthias Peter
Matthias Peter ETH Zurich
Bernd Bodenmiller
Bernd Bodenmiller University of Zurich
Uwe Sauer
Uwe Sauer ETH Zurich
Angelo Fontana
Angelo Fontana National Academies of Sciences, Engineering, and Medicine
Julio Saez-Rodriguez
Julio Saez-Rodriguez Heidelberg University
Eric W. Deutsch
Eric W. Deutsch University of Washington
Nicola Zamboni
Nicola Zamboni ETH Zurich
Matthias Heinemann
Matthias Heinemann University of Groningen
Roland Riek
Roland Riek ETH Zurich

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