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Chemistry
Mexico
2026
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Engineering and Technology
Mexico
2025

D-Index & Metrics

Chemistry

D-Index
65
Citations
14276
World Ranking
7706
National Ranking
4

Engineering and Technology

D-Index
58
Citations
11203
World Ranking
2529
National Ranking
5

José L. Medina-Franco publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where José L. Medina-Franco sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 280 publications — 72nd percentile

72% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

José L. Medina-Franco D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where José L. Medina-Franco sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 58 D-Index — 75th percentile

75% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Chemistry in Mexico Leader Award
  • 2025 - Research.com Chemistry in Mexico Leader Award
  • 2025 - Research.com Engineering and Technology in Mexico Leader Award

Overview

José L. Medina-Franco is affiliated with the National Autonomous University of Mexico. Their research primarily spans the fields of Biochemistry, Genetics and Molecular Biology, as well as Computer Science. Within these broad areas, their work focuses on several subfields including Molecular Biology, Computational Theory and Mathematics, Pharmacology, Organic Chemistry, and Materials Chemistry.

The scientist's main research topics include Computational Drug Discovery Methods, Microbial Natural Products and Biosynthesis, Plant Biochemistry and Biosynthesis, Genetics, Bioinformatics, and Biomedical Research, Metabolomics and Mass Spectrometry Studies, Epigenetics and DNA Methylation, and Bioinformatics and Genomic Networks.

Recent publications by José L. Medina-Franco illustrate their involvement in various aspects of drug design, natural product profiling, and computational approaches. These papers include:

  • Editorial: In silico Methods for Drug Design and Discovery (2020, Frontiers in Chemistry)
  • In Silico ADME/Tox Profiling of Natural Products: A Focus on BIOFACQUIM (2020, ACS Omega)
  • A critical overview of computational approaches employed for COVID-19 drug discovery (2021, Chemical Society Reviews)
  • Natural product drug discovery in the artificial intelligence era (2021, Chemical Science)
  • Extended connectivity interaction features: improving binding affinity prediction through chemical description (2020, Bioinformatics)

The scientist frequently collaborates with several coauthors, including Edgar López-López, Fernanda I. Saldívar-González, Ana L. Chávez-Hernández, Norberto Sánchez-Cruz, and K. Eurídice Juárez-Mercado.

Their research is often published in recognized venues such as Molecular Informatics, Biomolecules, Journal of Chemical Information and Modeling, ACS Omega, and Journal of Cheminformatics.

Best Publications

  • Shifting from the single to the multitarget paradigm in drug discovery.

    José L. Medina-Franco;Marc A. Giulianotti;Gregory S. Welmaker;Richard A. Houghten

  • Recognizing Pitfalls in Virtual Screening: A Critical Review

    Thomas Scior;Andreas Bender;Gary Tresadern;José L. Medina-Franco

  • Editorial: In silico Methods for Drug Design and Discovery.

    Simone Brogi;Teodorico Castro Ramalho;Kamil Kuca;José L. Medina-Franco

  • How to recognize and workaround pitfalls in QSAR studies: a critical review.

    T. Scior;J. L. Medina-Franco;Q.-T. Do;K. Martinez-Mayorga

  • Natural product drug discovery in the artificial intelligence era

    Unknown

  • Nanaomycin A Selectively Inhibits DNMT3B and Reactivates Silenced Tumor Suppressor Genes in Human Cancer Cells

    Dirk Kuck;Thomas Caulfield;Frank Lyko;Jose Luis Medina-Franco

  • Activity cliffs in drug discovery: Dr Jekyll or Mr Hyde?

    Maykel Cruz-Monteagudo;José L. Medina-Franco;Yunierkis Pérez-Castillo;Orazio Nicolotti

  • In Silico ADME/Tox Profiling of Natural Products: A Focus on BIOFACQUIM.

    Noemi Angeles Durán-Iturbide;Bárbara I Díaz-Eufracio;José L Medina-Franco

  • Synthesis and Biochemical Evaluation of Δ2-Isoxazoline Derivatives as DNA Methyltransferase 1 Inhibitors

    Sabrina Castellano;Dirk Kuck;Monica Viviano;Jakyung Yoo

  • Novel and selective DNA methyltransferase inhibitors: Docking-based virtual screening and experimental evaluation.

    Dirk Kuck;Narender Singh;Frank Lyko;Jose L. Medina-Franco

  • Integrating virtual screening and combinatorial chemistry for accelerated drug discovery.

    Fabian Lopez-Vallejo;Thomas Caulfield;Karina Martinez-Mayorga;Marc A. Giulianotti

  • A critical overview of computational approaches employed for COVID-19 drug discovery.

    Eugene N Muratov;Rommie Amaro;Carolina H Andrade;Nathan Brown

  • Visualization of the Chemical Space in Drug Discovery

    Jose L. Medina-Franco;Karina Martinez-Mayorga;Marc A. Giulianotti;Richard A. Houghten

  • Characterization of activity landscapes using 2D and 3D similarity methods: consensus activity cliffs.

    Jose L Medina-Franco;Karina Martínez-Mayorga;Andreas Bender;Ray M Marín

  • Chemoinformatic analysis of combinatorial libraries, drugs, natural products, and molecular libraries small molecule repository.

    Narender Singh;Rajarshi Guha;Marc A Giulianotti;Clemencia Pinilla

  • The many roles of molecular complexity in drug discovery.

    Oscar Méndez-Lucio;José L. Medina-Franco

  • Natural products as DNA methyltransferase inhibitors: a computer-aided discovery approach.

    Jose L. Medina-Franco;Fabian López-Vallejo;Dirk Kuck;Frank Lyko

  • Expanding the medicinally relevant chemical space with compound libraries.

    Fabian López-Vallejo;Marc A. Giulianotti;Richard A. Houghten;José L. Medina-Franco

  • Antidiabetic activity of some pentacyclic acid triterpenoids, role of PTP–1B: In vitro, in silico, and in vivo approaches

    Juan José Ramírez-Espinosa;Maria Yolanda Rios;Sugey López-Martínez;Fabian López-Vallejo

  • DataWarrior: an evaluation of the open-source drug discovery tool

    Edgar López-López;J Jesús Naveja;José L Medina-Franco

  • Antidiabetic activity of N-(6-substituted-1,3-benzothiazol-2-yl)benzenesulfonamides

    Hermenegilda Moreno-Díaz;Rafael Villalobos-Molina;Rolffy Ortiz-Andrade;Daniel Díaz-Coutiño

  • Strategies for the use of mixture-based synthetic combinatorial libraries: scaffold ranking, direct testing in vivo, and enhanced deconvolution by computational methods.

    Richard A. Houghten;Clemencia Pinilla;Marc A. Giulianotti;Jon R. Appel

  • A comparative study of flavonoid analogues on streptozotocin-nicotinamide induced diabetic rats: Quercetin as a potential antidiabetic agent acting via 11β-Hydroxysteroid dehydrogenase type 1 inhibition

    Mariana Torres-Piedra;Rolffy Ortiz-Andrade;Rafael Villalobos-Molina;Narender Singh

Frequent Co-Authors

Richard A. Houghten
Richard A. Houghten Florida International University
Clemencia Pinilla
Clemencia Pinilla Florida International University
Jürgen Bajorath
Jürgen Bajorath University of Bonn
Andreas Bender
Andreas Bender University of Cambridge
Frank Lyko
Frank Lyko German Cancer Research Center
Fernanda Borges
Fernanda Borges University of Porto
Larry A. Sklar
Larry A. Sklar University of New Mexico
Nicholas H. Oberlies
Nicholas H. Oberlies University of North Carolina at Greensboro
David A. Winkler
David A. Winkler La Trobe University
Alexander Tropsha
Alexander Tropsha University of North Carolina at Chapel Hill

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