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D-Index & Metrics

Molecular Biology

D-Index
50
Citations
12947
World Ranking
2539
National Ranking
63

Luisa Castagnoli publication distribution in Molecular Biology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Molecular Biology in 2026. The highlighted bar marks where Luisa Castagnoli sits on this spectrum.

47–56 publications: 7 scientists 57–66 publications: 17 scientists 67–76 publications: 65 scientists 77–86 publications: 90 scientists 87–96 publications: 125 scientists 97–106 publications: 131 scientists 107–116 publications: 162 scientists 117–126 publications: 177 scientists 127–136 publications: 158 scientists 137–146 publications: 158 scientists 147–156 publications: 146 scientists 157–166 publications: 159 scientists 167–176 publications: 131 scientists 177–186 publications: 110 scientists 187–196 publications: 112 scientists 197–206 publications: 100 scientists 207–216 publications: 89 scientists 217–226 publications: 98 scientists 227–236 publications: 74 scientists 237–246 publications: 72 scientists 247–256 publications: 63 scientists 257–266 publications: 53 scientists 267–276 publications: 54 scientists 277–286 publications: 49 scientists 287–296 publications: 52 scientists 297–306 publications: 43 scientists 307–316 publications: 46 scientists 317–326 publications: 41 scientists 327–336 publications: 42 scientists 337–346 publications: 31 scientists 347–356 publications: 28 scientists 357–366 publications: 29 scientists 367–376 publications: 26 scientists 377–386 publications: 24 scientists 387–396 publications: 24 scientists 397–406 publications: 14 scientists 407–416 publications: 13 scientists 417–426 publications: 20 scientists 427–436 publications: 12 scientists 437–446 publications: 20 scientists 447–456 publications: 11 scientists 457–466 publications: 10 scientists 467–476 publications: 14 scientists 477–486 publications: 14 scientists 487–496 publications: 10 scientists 497–506 publications: 13 scientists 507–516 publications: 13 scientists 517–526 publications: 2 scientists 527–536 publications: 4 scientists 537–546 publications: 6 scientists 547–556 publications: 8 scientists 557–563 publications: 6 scientists 564+ publications: 100 scientists
47 publications 564+

This scientist: 137 publications — 31st percentile

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

The last bar groups every scientist with 564 publications or more.

Luisa Castagnoli D-index placement in Molecular Biology in 2026

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

40–41 D-Index: 36 scientists 42–43 D-Index: 101 scientists 44–45 D-Index: 115 scientists 46–47 D-Index: 121 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 130 scientists 52–53 D-Index: 106 scientists 54–55 D-Index: 116 scientists 56–57 D-Index: 113 scientists 58–59 D-Index: 129 scientists 60–61 D-Index: 120 scientists 62–63 D-Index: 105 scientists 64–65 D-Index: 131 scientists 66–67 D-Index: 95 scientists 68–69 D-Index: 97 scientists 70–71 D-Index: 106 scientists 72–73 D-Index: 83 scientists 74–75 D-Index: 89 scientists 76–77 D-Index: 77 scientists 78–79 D-Index: 70 scientists 80–81 D-Index: 73 scientists 82–83 D-Index: 60 scientists 84–85 D-Index: 48 scientists 86–87 D-Index: 45 scientists 88–89 D-Index: 50 scientists 90–91 D-Index: 31 scientists 92–93 D-Index: 51 scientists 94–95 D-Index: 43 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 39 scientists 100–101 D-Index: 41 scientists 102–103 D-Index: 29 scientists 104–105 D-Index: 33 scientists 106–107 D-Index: 35 scientists 108–109 D-Index: 20 scientists 110–111 D-Index: 38 scientists 112–113 D-Index: 19 scientists 114–115 D-Index: 28 scientists 116–117 D-Index: 13 scientists 118–119 D-Index: 23 scientists 120–121 D-Index: 16 scientists 122–123 D-Index: 15 scientists 124–125 D-Index: 11 scientists 126–127 D-Index: 21 scientists 128–129 D-Index: 7 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 14 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 9 scientists 138–139 D-Index: 8 scientists 140–141 D-Index: 16 scientists 142–143 D-Index: 7 scientists 144 D-Index: 7 scientists 145+ D-Index: 100 scientists
40 D-Index 145+

This scientist: 50 D-Index — 18th percentile

18% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 145 D-Index or more.

Overview

Luisa Castagnoli is affiliated with the University of Rome Tor Vergata in Italy. Their research spans several disciplines primarily within biochemistry, genetics, molecular biology, and medicine. The scientist has contributed notably to subfields such as molecular biology, genetics, physiology, oncology, and surgery.

Their work addresses multiple topics, with a focus on muscle physiology and disorders, adipose tissue and metabolism, and CAR-T cell therapy research. Other areas covered include ubiquitin and proteasome pathways, autism spectrum disorder research, tissue engineering and regenerative medicine, and 3D printing in biomedical research.

The scientist's frequent collaborators include Gianni Cesareni, Claudia Fuoco, Cesare Gargioli, Giulio Giuliani, and Alessandro Palma. These collaborations have resulted in numerous joint publications and ongoing research efforts.

Among the research venues where Luisa Castagnoli has published are bioRxiv (Cold Spring Harbor Laboratory), Biomolecules, Molecular Psychiatry, Nucleic Acids Research, and Cell Death and Differentiation. The scientist has produced multiple papers in these journals, contributing to the understanding of biological and medical sciences.

Notable recent publications include:

  • SIGNOR 3.0, the SIGnaling network open resource 3.0: 2022 update (2022, Nucleic Acids Research)
  • Adipogenesis of skeletal muscle fibro/adipogenic progenitors is affected by the WNT5a/GSK3/β-catenin axis (2020, Cell Death and Differentiation)
  • Metabolic reprogramming of fibro/adipogenic progenitors facilitates muscle regeneration (2020, Life Science Alliance)
  • Biofabricating murine and human myo-substitutes for rapid volumetric muscle loss restoration (2021, EMBO Molecular Medicine)
  • SCA-1 micro-heterogeneity in the fate decision of dystrophic fibro/adipogenic progenitors (2021, Cell Death and Disease)

Best Publications

  • MINT, the molecular interaction database: 2012 update

    Luana Licata;Leonardo Briganti;Daniele Peluso;Livia Perfetto

  • MINT: the Molecular INTeraction database

    Andrew Chatr-aryamontri;Arnaud Ceol;Luisa Montecchi Palazzi;Giuliano Nardelli

  • A Combined Experimental and Computational Strategy to Define Protein Interaction Networks for Peptide Recognition Modules

    Amy Hin Yan Tong;Becky Drees;Giuliano Nardelli;Gary D. Bader

  • Selection of antibody ligands from a large library of oligopeptides expressed on a multivalent exposition vector

    Franco Felici;Luisa Castagnoli;Andrea Musacchio;Roberto Jappelli

  • MINT, the molecular interaction database: 2009 update.

    Arnaud Ceol;Andrew Chatr Aryamontri;Luana Licata;Daniele Peluso

  • Physical interaction with Yes-associated protein enhances p73 transcriptional activity.

    Sabrina Strano;Eliana Munarriz;Mario Rossi;Luisa Castagnoli

  • Intersectin, a novel adaptor protein with two Eps15 homology and five Src homology 3 domains

    Montarop Yamabhai;Noah G. Hoffman;Nancy L. Hardison;Peter S. McPherson

  • Microfluidic-enhanced 3D bioprinting of aligned myoblast-laden hydrogels leads to functionally organized myofibers in vitro and in vivo

    Marco Costantini;Stefano Testa;Pamela Mozetic;Andrea Barbetta

  • mentha: a resource for browsing integrated protein-interaction networks

    Alberto Calderone;Luisa Castagnoli;Gianni Cesareni

  • Physical and Functional Interaction between p53 Mutants and Different Isoforms of p73

    Sabrina Strano;Eliana Munarriz;Mario Rossi;Barbara Cristofanelli

  • Protein interaction networks by proteome peptide scanning

    Christiane Landgraf;Simona Panni;Luisa Montecchi-Palazzi;Luisa Castagnoli

  • The human phosphatase interactome: An intricate family portrait

    Francesca Sacco;Livia Perfetto;Luisa Castagnoli;Gianni Cesareni

  • SIGNOR: A database of causal relationships between biological entities

    Livia Perfetto;Leonardo Briganti;Alberto Calderone;Andrea Cerquone Perpetuini

  • VirusMINT: a viral protein interaction database

    Andrew Chatr-aryamontri;Arnaud Ceol;Daniele Peluso;Aurelio Nardozza

  • Bayesian Modeling of the Yeast SH3 Domain Interactome Predicts Spatiotemporal Dynamics of Endocytosis Proteins

    Raffi Tonikian;Xiaofeng Xin;Christopher P. Toret;David Gfeller

  • Can we infer peptide recognition specificity mediated by SH3 domains

    Gianni Cesareni;Simona Panni;Giuliano Nardelli;Luisa Castagnoli

  • SIGNOR 2.0, the SIGnaling Network Open Resource 2.0: 2019 update.

    Luana Licata;Prisca Lo Surdo;Marta Iannuccelli;Alessandro Palma

  • The Protein-Protein Interaction tasks of BioCreative III: classification/ranking of articles and linking bio-ontology concepts to full text

    Martin Krallinger;Miguel Vazquez;Florian Leitner;David Salgado

  • The SH3 Domains of Endophilin and Amphiphysin Bind to the Proline-rich Region of Synaptojanin 1 at Distinct Sites That Display an Unconventional Binding Specificity

    Gianluca Cestra;Luisa Castagnoli;Luciana Dente;Olga Minenkova

  • Transcription by RNA polymerase III.

    Gennaro Ciliberto;Luisa Castagnoli;Riccardo Cortese

Frequent Co-Authors

Gianni Cesareni
Gianni Cesareni University of Rome Tor Vergata
Andrew Chatr-aryamontri
Andrew Chatr-aryamontri University of Montreal
Mike Schutkowski
Mike Schutkowski Martin Luther University Halle-Wittenberg
Simona Polo
Simona Polo University of Milan
Matthias Mann
Matthias Mann Max Planck Institute of Biochemistry
Søren Brunak
Søren Brunak University of Copenhagen
Gary D. Bader
Gary D. Bader University of Toronto
Marco Tartaglia
Marco Tartaglia Bambino Gesù Children's Hospital
Charles Boone
Charles Boone University of Toronto
Dror Seliktar
Dror Seliktar Technion – Israel Institute of Technology

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