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Walter Filgueira de Azevedo

Walter Filgueira de Azevedo

D-Index & Metrics

Biology and Biochemistry

D-Index
60
Citations
9952
World Ranking
12194
National Ranking
55

Walter Filgueira de Azevedo 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 Walter Filgueira de Azevedo 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: 183 publications — 42nd percentile

42% of scientists in this discipline score the same or lower.

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

Walter Filgueira de Azevedo 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 Walter Filgueira de Azevedo 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: 60 D-Index — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Overview

Walter Filgueira de Azevedo is affiliated with the Federal University of Alfenas in Brazil. Their research spans multiple fields of study, primarily within Computer Science and Biochemistry, Genetics and Molecular Biology, contributing to a total of 75 publications across these domains.

Their work encompasses several subfields, including Molecular Biology, Computational Theory and Mathematics, Oncology, Materials Chemistry, and Mechanical Engineering. The main research topics focus on Computational Drug Discovery Methods, Protein Structure and Dynamics, Bioinformatics and Genomic Networks, Enzyme Structure and Function, Cancer-related Molecular Pathways, Microtubule and Mitosis Dynamics, as well as Modular Robots and Swarm Intelligence.

Frequent publication venues for their work include:

  • Methods in Molecular Biology
  • Current Medicinal Chemistry
  • Frontiers in Chemistry
  • Journal of Computational Chemistry
  • Exploration of Drug Science

Frequent co-authors in their research are:

  • Amauri Duarte da Silva
  • Gabriela Bitencourt-Ferreira
  • Nelson José Freitas da Silveira
  • Martina Veit-Acosta
  • Olga Tarasova

Some recent publications authored or co-authored by Walter Filgueira de Azevedo include:

  • Application of Machine Learning Techniques for Drug Discovery, 2021, Current Medicinal Chemistry
  • Electrostatic Potential Energy in Protein-Drug Complexes, 2021, Current Medicinal Chemistry
  • Computational Prediction of Binding Affinity for CDK2-ligand Complexes.A Protein Target for Cancer Drug Discovery, 2021, Current Medicinal Chemistry
  • Interaction of Copper Potential Metallodrugs with TMPRSS2: A Comparative Study of Docking Tools and Its Implications on COVID-19, 2023, Frontiers in Chemistry
  • Exploring Scoring Function Space: Developing Computational Models for Drug Discovery, 2023, Current Medicinal Chemistry

The research by Walter Filgueira de Azevedo reflects interdisciplinary integration, combining computational methods with molecular biology to address challenges within drug discovery and molecular interactions. Their contributions include the study of enzyme dynamics, cancer molecular pathways, and the development of computational models relevant to pharmacological applications.

Best Publications

  • Inhibition of Cyclin‐Dependent Kinases by Purine Analogues

    Walter Filgueira De Azevedo;Sophie Leclerc;Laurent Meijer;Libor Havlicek

  • Halogen atoms in the modern medicinal chemistry: hints for the drug design.

    Marcelo Zaldini Hernandes;Suellen Melo T. Cavalcanti;Diogo Rodrigo M. Moreira;Walter Filgueira de Azevedo Junior

  • Molecular docking algorithms.

    Raquel Dias;Walter Filgueira de Azevedo

  • 4-Arylazo-3,5-diamino-1H-pyrazole CDK Inhibitors: SAR Study, Crystal Structure in Complex with CDK2, Selectivity, and Cellular Effects†

    Vladimir Krystof;Petr Cankar;Iveta Frysova;Jan Slouka

  • Anoplin, a novel antimicrobial peptide from the venom of the solitary wasp Anoplius samariensis.

    Katsuhiro Konno;Miki Hisada;Renato Fontana;Carla C.B. Lorenzi

  • Molegro Virtual Docker for Docking

    Gabriela Bitencourt-Ferreira;Walter Filgueira de Azevedo

  • Structural basis for inhibition of cyclin-dependent kinase 9 by flavopiridol.

    Walter Filgueira de Azevedo;Fernanda Canduri;Fernanda Canduri;Nelson José Freitas da Silveira

  • The use of biodiversity as source of new chemical entities against defined molecular targets for treatment of malaria, tuberculosis, and T-cell mediated diseases: a review

    Luiz Augusto Basso;Luiz Hildebrando Pereira da Silva;Arthur Germano Fett-Neto;Walter Filgueira de Azevedo Junior

  • MolDock applied to structure-based virtual screening.

    Walter Filgueira De Azevedo

  • How C-terminal carboxyamidation alters the biological activity of peptides from the venom of the eumenine solitary wasp.

    Mauricio L. Sforca;Sérgio Oyama;Fernanda Canduri;Carla C. B. Lorenzi

  • Automated NMR structure determination and disulfide bond identification of the myotoxin crotamine from Crotalus durissus terrificus

    Valmir Fadel;Pascal Bettendorff;Torsten Herrmann;Walter F. de Azevedo

  • Antimalarial Activity of Physalins B, D, F, and G

    Matheus S. Sá;Maria N. de Menezes;Antoniana U. Krettli;Ivone M. Ribeiro

  • SAnDReS a Computational Tool for Statistical Analysis of Docking Results and Development of Scoring Functions

    Mariana Morrone Xavier;Gabriela Sehnem Heck;Mauricio Boff de Avila;Nayara Maria Bernhardt Levin

  • Supervised Machine Learning Methods Applied to Predict Ligand- Binding Affinity.

    Gabriela Sehnem Heck;Val Oliveira Pintro;Richard Rene Pereira;Mauricio Boff de Ávila

  • Crystallographic and Pre-steady-state Kinetics Studies on Binding of NADH to Wild-type and Isoniazid-resistant Enoyl-ACP(CoA) Reductase Enzymes from Mycobacterium tuberculosis

    Jaim S. Oliveira;José H. Pereira;Fernanda Canduri;Nathália C. Rodrigues

  • Molecular model of cyclin-dependent kinase 5 complexed with roscovitine

    Walter Filgueira de Azevedo;Walter Filgueira de Azevedo;Renato Tadeu Gaspar;Fernanda Canduri;Fernanda Canduri;João Carlos Camera

  • Structure of a lectin from Canavalia gladiata seeds: new structural insights for old molecules

    Plinio Delatorre;Bruno A. M. Rocha;Emmanuel P. Souza;Taiana M. Oliveira

  • Structure of shikimate kinase from Mycobacterium tuberculosis reveals the binding of shikimic acid.

    José Henrique Pereira;Jaim Simões De Oliveira;Fernanda Canduri;Marcio Vinicius Bertacine Dias

  • CDK9 a potential target for drug development.

    Fernanda Canduri;Patricia Cardoso Peres;Rafael Andrade Caceres;Walter Filgueira de Azevedo

  • Parmodel: a web server for automated comparative modeling of proteins.

    Hugo Brandão Uchôa;Guilherme Eberhart Jorge;Nelson José Freitas Da Silveira;João Carlos Camera

Frequent Co-Authors

Benildo Sousa Cavada
Benildo Sousa Cavada Universidade Federal do Ceará
Milena Botelho Pereira Soares
Milena Botelho Pereira Soares Oswaldo Cruz Foundation
Sung-Hou Kim
Sung-Hou Kim University of California, Berkeley
Richard J. Ward
Richard J. Ward Universidade de São Paulo
Juan J. Calvete
Juan J. Calvete Spanish National Research Council
Miroslav Strnad
Miroslav Strnad Palacký University, Olomouc
José R. Giglio
José R. Giglio Universidade de São Paulo
Tao Huang
Tao Huang Chinese Academy of Sciences
Yu-Dong Cai
Yu-Dong Cai Shanghai University
Yoshihiro Nakata
Yoshihiro Nakata Hiroshima University

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