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Humberto González-Díaz

Humberto González-Díaz

University of the Basque Country
Spain

D-Index & Metrics

Biology and Biochemistry

D-Index
59
Citations
9641
World Ranking
12812
National Ranking
261

Humberto González-Díaz 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 Humberto González-Díaz sits on this spectrum.

47–56 publications: 8 scientists 57–66 publications: 35 scientists 67–76 publications: 106 scientists 77–86 publications: 231 scientists 87–96 publications: 414 scientists 97–106 publications: 546 scientists 107–116 publications: 704 scientists 117–126 publications: 849 scientists 127–136 publications: 980 scientists 137–146 publications: 942 scientists 147–156 publications: 969 scientists 157–166 publications: 950 scientists 167–176 publications: 951 scientists 177–186 publications: 915 scientists 187–196 publications: 787 scientists 197–206 publications: 841 scientists 207–216 publications: 735 scientists 217–226 publications: 709 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: 418 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: 197 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: 60 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 scientists 997–1,006 publications: 5 scientists 1,007–1,016 publications: 2 scientists 1,017–1,026 publications: 2 scientists 1,027 publications: 1 scientists 1,028+ publications: 100 scientists
47 publications 1,028+

This scientist: 265 publications — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Humberto González-Díaz 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 Humberto González-Díaz sits on this spectrum.

40–41 D-Index: 80 scientists 42–43 D-Index: 183 scientists 44–45 D-Index: 317 scientists 46–47 D-Index: 504 scientists 48–49 D-Index: 718 scientists 50–51 D-Index: 900 scientists 52–53 D-Index: 1,026 scientists 54–55 D-Index: 1,150 scientists 56–57 D-Index: 1,236 scientists 58–59 D-Index: 1,253 scientists 60–61 D-Index: 1,163 scientists 62–63 D-Index: 1,131 scientists 64–65 D-Index: 1,032 scientists 66–67 D-Index: 897 scientists 68–69 D-Index: 814 scientists 70–71 D-Index: 715 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: 72 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 D-Index 167+

This scientist: 59 D-Index — 38th percentile

38% of scientists in this discipline score the same or lower.

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

Overview

Humberto González-Díaz is affiliated with the University of the Basque Country in Spain. Their research spans primarily the fields of Biochemistry, Genetics and Molecular Biology, and Computer Science, with a strong focus on Molecular Biology and Computational Theory and Mathematics as key subfields.

The scientist's work covers a range of main topics including Computational Drug Discovery Methods, Metabolomics and Mass Spectrometry Studies, Machine Learning in Materials Science, Bioinformatics and Genomic Networks, Microbial Metabolic Engineering and Bioproduction, Machine Learning in Bioinformatics, and Nanoparticle-Based Drug Delivery.

They have frequently published in several journals and venues, with repeated contributions notably in:

  • Current Topics in Medicinal Chemistry
  • Scientific Reports
  • Journal of Chemical Information and Modeling
  • Nanoscale
  • International Journal of Molecular Sciences

Humberto González-Díaz has collaborated extensively with specific co-authors over the course of their career. Frequent collaborators include:

  • Sonia Arrasate
  • Cristian R. Munteanu
  • Harbil Bediaga
  • Gerardo M. Casañola-Martín
  • Karel Diéguez-Santana

The following are recent selected research papers authored or co-authored by Humberto González-Díaz:

  • Prediction of breast cancer proteins involved in immunotherapy, metastasis, and RNA-binding using molecular descriptors and artificial neural networks, 2020, Scientific Reports
  • Predicting coated-nanoparticle drug release systems with perturbation-theory machine learning (PTML) models, 2020, Nanoscale
  • OncoOmics approaches to reveal essential genes in breast cancer: a panoramic view from pathogenesis to precision medicine, 2020, Scientific Reports
  • Prediction of Antimalarial Drug-Decorated Nanoparticle Delivery Systems with Random Forest Models, 2020, Biology
  • PTML Model for Selection of Nanoparticles, Anticancer Drugs, and Vitamins in the Design of Drug-Vitamin Nanoparticle Release Systems for Cancer Cotherapy, 2020, Molecular Pharmaceutics

Best Publications

  • Medicinal chemistry and bioinformatics--current trends in drugs discovery with networks topological indices.

    Humberto Gonzalez-Diaz;Santiago Vilar;Lourdes Santana;Eugenio Uriarte

  • Proteomics, networks and connectivity indices.

    Humberto González-Díaz;Yenny González-Díaz;Lourdes Santana;Florencio M. Ubeira

  • Unified QSAR approach to antimicrobials. Part 3: first multi-tasking QSAR model for input-coded prediction, structural back-projection, and complex networks clustering of antiprotozoal compounds.

    Francisco J. Prado-Prado;Humberto González-Díaz;Octavio Martinez de la Vega;Florencio M. Ubeira

  • A QSAR model for in silico screening of MAO-A inhibitors. Prediction, synthesis, and biological assay of novel coumarins.

    Lourdes Santana;Eugenio Uriarte;Humberto González-Díaz;Giuseppe Zagotto

  • Computational tool for risk assessment of nanomaterials: novel QSTR-perturbation model for simultaneous prediction of ecotoxicity and cytotoxicity of uncoated and coated nanoparticles under multiple experimental conditions.

    Valeria V. Kleandrova;Feng Luan;Feng Luan;Humberto González-Díaz;Humberto González-Díaz;Juan M. Ruso

  • Predicting antimicrobial drugs and targets with the MARCH-INSIDE approach.

    Humberto Gonzalez-Diaz;Francisco Prado-Prado;Florencio M. Ubeira

  • Computer-aided nanotoxicology: Assessing cytotoxicity of nanoparticles under diverse experimental conditions by using a novel QSTR-perturbation approach

    Feng Luan;Feng Luan;Valeria V. Kleandrova;Humberto González-Díaz;Humberto González-Díaz;Juan M. Ruso

  • Multi-target spectral moment QSAR versus ANN for antiparasitic drugs against different parasite species

    Francisco J. Prado-Prado;Xerardo García-Mera;Humberto González-Díaz

  • Quantitative structure-activity relationship and complex network approach to monoamine oxidase A and B inhibitors.

    Lourdes Santana;Humberto González-Díaz;Elías Quezada;Eugenio Uriarte

  • Computational ecotoxicology: simultaneous prediction of ecotoxic effects of nanoparticles under different experimental conditions.

    Valeria V. Kleandrova;Feng Luan;Humberto González-Díaz;Juan M. Ruso

  • Unified QSAR approach to antimicrobials. 4. Multi-target QSAR modeling and comparative multi-distance study of the giant components of antiviral drug-drug complex networks.

    Francisco J. Prado-Prado;Francisco J. Prado-Prado;Octavio Martinez de la Vega;Eugenio Uriarte;Florencio M. Ubeira

  • Novel 2D maps and coupling numbers for protein sequences. The first QSAR study of polygalacturonases; isolation and prediction of a novel sequence from Psidium guajava L.

    Guillermín Agüero-Chapin;Humberto González-Díaz;Humberto González-Díaz;Reinaldo Molina;Reinaldo Molina;Javier Varona-Santos

  • Alignment-free prediction of a drug-target complex network based on parameters of drug connectivity and protein sequence of receptors.

    Dolores Viña;Eugenio Uriarte;Francisco Orallo;Humberto González-Díaz

  • Unified QSAR and network-based computational chemistry approach to antimicrobials, part 1: multispecies activity models for antifungals.

    Humberto GonzÁlez-DÍaz;Francisco J. Prado-Prado

  • General Theory for Multiple Input-Output Perturbations in Complex Molecular Systems. 1. Linear QSPR Electronegativity Models in Physical, Organic, and Medicinal Chemistry

    Humberto Gonzalez-Diaz;Sonia Arrasate;Asier Gomez-SanJuan;Nuria Sotomayor

  • HP-Lattice QSAR for dynein proteins: Experimental proteomics (2D-electrophoresis, mass spectrometry) and theoretic study of a Leishmania infantum sequence

    María Auxiliadora Dea-Ayuela;Yunierkis Pérez-Castillo;Alfredo Meneses-Marcel;Alfredo Meneses-Marcel;Florencio M. Ubeira

  • Review of MARCH-INSIDE & complex networks prediction of drugs: ADMET, anti-parasite activity, metabolizing enzymes and cardiotoxicity proteome biomarkers.

    Humberto Gonzalez-Diaz;Aliuska Duardo-Sanchez;Florencio M. Ubeira;Francisco Prado-Prado

  • MIND-BEST: Web server for drugs and target discovery; design, synthesis, and assay of MAO-B inhibitors and theoretical-experimental study of G3PDH protein from Trichomonas gallinae.

    Humberto González-Díaz;Francisco Prado-Prado;Xerardo García-Mera;Nerea Alonso

  • Multi-target QPDR classification model for human breast and colon cancer-related proteins using star graph topological indices.

    Cristian Robert Munteanu;Alexandre L. Magalhães;Eugenio Uriarte;Humberto González-Díaz

  • A model for the recognition of protein kinases based on the entropy of 3D van der Waals interactions.

    Humberto Gonzalez-Díaz;Liane Saiz-Urra;Reinaldo Molina;Lourdes Santana

Frequent Co-Authors

Eugenio Uriarte
Eugenio Uriarte University of Santiago de Compostela
Florencio M. Ubeira
Florencio M. Ubeira University of Santiago de Compostela
Lourdes Santana
Lourdes Santana University of Santiago de Compostela
Fernanda Borges
Fernanda Borges University of Porto
M. Natália D. S. Cordeiro
M. Natália D. S. Cordeiro University of Porto
Alejandro Speck-Planche
Alejandro Speck-Planche University of Porto
José Maria Monserrat
José Maria Monserrat Federal University of Rio Grande
Kuo-Chen Chou
Kuo-Chen Chou The Gordon Life Science Institute
Agostinho Antunes
Agostinho Antunes University of Porto
Marta González-Warleta
Marta González-Warleta Xunta de Galicia

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Best Scientists Citing Humberto González-Díaz

Alejandro Speck-Planche

Alejandro Speck-Planche

University of Porto

Publications: 50

M. Natália D. S. Cordeiro

M. Natália D. S. Cordeiro

University of Porto

Publications: 43

Kuo-Chen Chou

Kuo-Chen Chou

The Gordon Life Science Institute

Publications: 38

Eugenio Uriarte

Eugenio Uriarte

University of Santiago de Compostela

Publications: 27

Kunal Roy

Kunal Roy

Jadavpur University

Publications: 25

Andrey A. Toropov

Andrey A. Toropov

Mario Negri Institute for Pharmacological Research

Publications: 21

Maria João Matos

Maria João Matos

University of Santiago de Compostela

Publications: 19

Lourdes Santana

Lourdes Santana

University of Santiago de Compostela

Publications: 18

Fernanda Borges

Fernanda Borges

University of Porto

Publications: 18

Yu-Dong Cai

Yu-Dong Cai

Shanghai University

Publications: 12

Jerzy Leszczynski

Jerzy Leszczynski

Jackson State University

Publications: 11

Florencio M. Ubeira

Florencio M. Ubeira

University of Santiago de Compostela

Publications: 10

Hong-Bin Shen

Hong-Bin Shen

Shanghai Jiao Tong University

Publications: 10

Agostinho Antunes

Agostinho Antunes

University of Porto

Publications: 9

Dong-Sheng Cao

Dong-Sheng Cao

Central South University

Publications: 8

Willie J.G.M. Peijnenburg

Willie J.G.M. Peijnenburg

Leiden University

Publications: 8

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