World's Best Scientists 2026 revealed!
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Gabriele Cruciani

Gabriele Cruciani

University of Perugia
Italy

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Chemistry 67 6901 6251 162 145 286 15869

Gabriele Cruciani publications per year

The chart shows the history of publications by Gabriele Cruciani between 1986 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Gabriele Cruciani published across 41 years, from 1986 to 2026, averaging 9.7 papers a year. Output peaked at 22 publications in 2019. 7 of the 396 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1986 to 2026. Vertical axis: number of publications, 0 to 22. Peak 22 publications in 2019. 1986: 1 publication 1987: 1 publication 1988: 3 publications 1989: 7 publications 1990: 8 publications 1991: 5 publications 1992: 5 publications 1993: 7 publications 1994: 4 publications 1995: 5 publications 1996: 1 publication 1997: 9 publications 1998: 5 publications 1999: 2 publications 2000: 18 publications 2001: 6 publications 2002: 6 publications 2003: 6 publications 2004: 13 publications 2005: 11 publications 2006: 5 publications 2007: 13 publications 2008: 11 publications 2009: 12 publications 2010: 15 publications 2011: 10 publications 2012: 16 publications 2013: 12 publications 2014: 15 publications 2015: 19 publications 2016: 13 publications 2017: 15 publications 2018: 16 publications 2019: 22 publications 2020: 15 publications 2021: 15 publications 2022: 22 publications 2023: 12 publications 2024: 8 publications 2025: 6 publications 2026: 1 publication
1986 2026

396 publications in total across all disciplines

View publications per year as a table
Gabriele Cruciani: publications per year, 1986 to 2026
Year Publications
1986 1
1987 1
1988 3
1989 7
1990 8
1991 5
1992 5
1993 7
1994 4
1995 5
1996 1
1997 9
1998 5
1999 2
2000 18
2001 6
2002 6
2003 6
2004 13
2005 11
2006 5
2007 13
2008 11
2009 12
2010 15
2011 10
2012 16
2013 12
2014 15
2015 19
2016 13
2017 15
2018 16
2019 22
2020 15
2021 15
2022 22
2023 12
2024 8
2025 6
2026 1
Total 396
Download as CSV

Gabriele Cruciani publications per year - data summary

  • Gabriele Cruciani, a Chemistry scholar from University of Perugia, has 396 publications recorded across 41 years, from 1986 to 2026.
  • The oldest publication on record dates to 1986 and the most recent to 2026.
  • The most productive years are 2019 and 2022, with 22 publications each.
  • The least productive years with any output are 1986, 1987, 1996 and 2026, with 1 publication each.
  • The rate of publication averages 9.7 papers per year over the whole span, or 9.7 per year counting only the 41 years with at least one publication.
  • The last 5 years on the chart (2022-2026) hold 49 publications, 12% of the career total.
  • Split into equal eras - 1986-1999: 63 publications (4.5 per year); 2000-2013: 154 publications (11.0 per year); 2014-2026: 179 publications (13.8 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Gabriele Cruciani 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 Gabriele Cruciani 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, 281–300 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: 286 publications — 60th percentile

60% 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
281–300 939 286
301–320 764
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
Download as CSV

Gabriele Cruciani publication distribution in Chemistry in 2026 - data summary

  • The chart plots the publication count of all 17,934 Chemistry scientists ranked by Research.com in 2026, grouped into 63 ranges running from 61–80 to 1,295+ publications.
  • Gabriele Cruciani, a Chemistry scholar from University of Perugia, records 286 publications - the 60th percentile of the discipline.
  • 60% of ranked Chemistry scientists score the same or lower than Gabriele Cruciani, and about 40% score higher.
  • The median of the discipline falls in the 241–260 publications range, and Gabriele Cruciani ranks above the median.
  • The most crowded range is 161–180 publications, holding 1,350 scientists (8% of the field).
  • 77% of the field sits in the lowest quarter of the value range (up to 361–380 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 1,295 publications or more, 100 scientists in all (<1% of the field).

Gabriele Cruciani 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 Gabriele Cruciani 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, 66–67 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: 67 D-Index — 62nd percentile

62% 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 67
68–69 683
70–71 646
72–73 561
74–75 501
76–77 437
78–79 388
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
Download as CSV

Gabriele Cruciani D-index placement in Chemistry in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 17,934 Chemistry scientists ranked by Research.com in 2026, grouped into 61 ranges running from 40–41 to 159+ D-Index.
  • Gabriele Cruciani, a Chemistry scholar from University of Perugia, records 67 D-Index - the 62nd percentile of the discipline.
  • 62% of ranked Chemistry scientists score the same or lower than Gabriele Cruciani, and about 38% score higher.
  • The median of the discipline falls in the 62–63 D-Index range, and Gabriele Cruciani ranks above the median.
  • The most crowded range is 56–57 D-Index, holding 1,051 scientists (6% of the field).
  • 70% of the field sits in the lowest quarter of the value range (up to 70–71 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 159 D-Index or more, 98 scientists in all (<1% of the field).

Overview

Gabriele Cruciani is affiliated with the University of Perugia in Italy and has contributed extensively to the fields of biochemistry, genetics, molecular biology, and medicine. Their work spans multiple subfields including molecular biology, oncology, computational theory and mathematics, infectious diseases, and organic chemistry.

The scientist's research interests focus on several key topics including computational drug discovery methods, protein degradation and inhibitors, peptidase inhibition and analysis, ubiquitin and proteasome pathways, metabolomics and mass spectrometry studies, estrogen and related hormone effects, and protein structure and dynamics.

Recent publications authored or coauthored by Gabriele Cruciani include the following:

  • Understanding the Metabolism of Proteolysis Targeting Chimeras (PROTACs): The Next Step toward Pharmaceutical Applications (2020, Journal of Medicinal Chemistry)
  • SARS-CoV-2 Survival on Surfaces and the Effect of UV-C Light (2021, Viruses)
  • Effects of MTX-23, a Novel PROTAC of Androgen Receptor Splice Variant-7 and Androgen Receptor, on CRPC Resistant to Second-Line Antiandrogen Therapy (2020, Molecular Cancer Therapeutics)
  • SARS-CoV2 infection impairs the metabolism and redox function of cellular glutathione (2021, Redox Biology)
  • Indomethacin-based PROTACs as pan-coronavirus antiviral agents (2021, European Journal of Medicinal Chemistry)

Gabriele Cruciani frequently collaborates with several researchers including:

  • Laura Goracci
  • Simon Cross
  • Massimo Baroni
  • Lydia Siragusa
  • Jenny Desantis

The scientist has published repeatedly in prominent venues, with multiple contributions to:

  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of Chemical Information and Modeling
  • Journal of Medicinal Chemistry
  • Free Radical Biology and Medicine
  • Scientific Reports

Best Publications

  • Molecular fields in quantitative structure–permeation relationships: the VolSurf approach

    G. Cruciani;P. Crivori;P.-A. Carrupt;B. Testa

  • GRid-INdependent Descriptors (GRIND) : A novel class of alignment-independent three-dimensional molecular Descriptors

    Manuel Pastor;Gabriele Cruciani;Iain McLay;Stephen Pickett

  • Predicting Blood−Brain Barrier Permeation from Three-Dimensional Molecular Structure

    Patrizia Crivori;Gabriele Cruciani;Pierre-Alain Carrupt;Bernard Testa

  • Generating Optimal Linear PLS Estimations (GOLPE): An Advanced Chemometric Tool for Handling 3D‐QSAR Problems

    Massimo Baroni;Gabriele Costantino;Gabriele Cruciani;Daniela Riganelli

  • MetaSite: understanding metabolism in human cytochromes from the perspective of the chemist.

    Gabriele Cruciani;Emanuele Carosati;Benoit De Boeck;Kantharaj Ethirajulu

  • VolSurf: a new tool for the pharmacokinetic optimization of lead compounds.

    Gabriele Cruciani;Manuel Pastor;Wolfgang Guba

  • A common reference framework for analyzing/comparing proteins and ligands. Fingerprints for Ligands and Proteins (FLAP): theory and application.

    Massimo Baroni;Gabriele Cruciani;Simone Sciabola;Francesca Perruccio

  • Vitamin E: Emerging aspects and new directions.

    Francesco Galli;Angelo Azzi;Marc Birringer;Joan M. Cook-Mills

  • Antileishmanial Chalcones: Statistical Design, Synthesis, and Three-Dimensional Quantitative Structure−Activity Relationship Analysis

    Simon Feldbæk Nielsen;Søren Brøgger Christensen;Gabriele Cruciani;and Arsalan Kharazmi

  • New and original pKa prediction method using grid molecular interaction fields.

    Francesca Milletti;Loriano Storchi;Gianluca Sforna;Gabriele Cruciani

  • Hydrogen Bonding Interactions of Covalently Bonded Fluorine Atoms: From Crystallographic Data to a New Angular Function in the GRID Force Field

    Emanuele Carosati;Simone Sciabola;Gabriele Cruciani

  • Computational approaches to identifying and characterizing protein binding sites for ligand design.

    Stefan Henrich;Outi M. H. Salo-Ahen;Bingding Huang;Friedrich F. Rippmann

  • GRID/CPCA: a new computational tool to design selective ligands.

    Mika A. Kastenholz;Manuel Pastor;Gabriele Cruciani;and Eric E. J. Haaksma

  • A Novel Approach for Predicting P-glycoprotein (ABCB1) Inhibition Using Molecular Interaction Fields

    Fabio Broccatelli;Emanuele Carosati;Annalisa Neri;Maria Frosini

  • Comparative Molecular Field Analysis Using GRID Force-Field and GOLPE Variable Selection Methods in a Study of Inhibitors of Glycogen Phosphorylase b

    Gabriele Cruciani;Kimberly A. Watson

  • Predicting Drug Metabolism: A Site of Metabolism Prediction Tool Applied to the Cytochrome P450 2C9

    Ismael Zamora;Lovisa Afzelius;Gabriele Cruciani

  • Smart region definition: a new way to improve the predictive ability and interpretability of three-dimensional quantitative structure-activity relationships.

    Manuel Pastor;Gabriele Cruciani;Sergio Clementi

  • Tautomer enumeration and stability prediction for virtual screening on large chemical databases.

    Francesca Milletti;Loriano Storchi;Gianluca Sforna;Simon Cross

  • 1,4-Dihydropyridine Scaffold in Medicinal Chemistry, The Story So Far And Perspectives (Part 2): Action in Other Targets and Antitargets

    E. Carosati;Pierfranco Ioan;Matteo Micucci;F. Broccatelli

  • LC/MS lipid profiling from human serum: a new method for global lipid extraction.

    Roberto Maria Pellegrino;Alessandra Di Veroli;Aurora Valeri;Laura Goracci

  • Predictive ability of regression models. Part II: Selection of the best predictive PLS model

    Massimo Baroni;Sergio Clementi;Gabriele Cruciani;Gabriele Costantino

  • Predictive ability of regression models. Part I: Standard deviation of prediction errors (SDEP)†

    Gabriele Cruciani;Massimo Baroni;Sergio Clementi;Gabrielle Costantino

Frequent Co-Authors

Giorgio Palù
Giorgio Palù University of Padua
Rebecca C. Wade
Rebecca C. Wade Heidelberg Institute for Theoretical Studies
Pierre-Alain Carrupt
Pierre-Alain Carrupt École Polytechnique Fédérale de Lausanne
Bernard Testa
Bernard Testa University of Lausanne
Valerio Nobili
Valerio Nobili Sapienza University of Rome
Stefano Alcaro
Stefano Alcaro Magna Graecia University
Francesco Ortuso
Francesco Ortuso Magna Graecia University
Chiara Dall’Asta
Chiara Dall’Asta University of Parma
Simon S. Cross
Simon S. Cross University of Sheffield
Glenn W. Kaatz
Glenn W. Kaatz Wayne State University

External Links

Personal website of Gabriele Cruciani

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