World's Best Scientists 2026 revealed!
Reinhard Laubenbacher

Reinhard Laubenbacher

D-Index & Metrics

Engineering and Technology

D-Index
38
Citations
4878
World Ranking
8156
National Ranking
2251

Reinhard Laubenbacher 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 Reinhard Laubenbacher 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: 154 publications — 29th percentile

29% of scientists in this discipline score the same or lower.

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

Reinhard Laubenbacher 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 Reinhard Laubenbacher 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: 38 D-Index — 20th percentile

20% 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

  • 2015 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2013 - Fellow of the American Mathematical Society

Overview

Reinhard Laubenbacher is affiliated with the University of Florida in the United States. Their research spans multiple fields, primarily within Biochemistry, Genetics and Molecular Biology, and Medicine. Their work focuses particularly on Molecular Biology, Infectious Diseases, Oncology, Computational Theory and Mathematics, and Biomedical Engineering.

Their main topics of research include:

  • Gene Regulatory Network Analysis
  • Single-cell and spatial transcriptomics
  • Bioinformatics and Genomic Networks
  • Antifungal resistance and susceptibility
  • Microbial Metabolic Engineering and Bioproduction
  • Cell Image Analysis Techniques
  • Biomedical and Engineering Education

Reinhard Laubenbacher has published extensively in several venues. Frequent outlets for their work include:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • mSphere
  • Bulletin of Mathematical Biology
  • Journal of The Royal Society Interface

Among their recent publications are:

  • "Using digital twins in viral infection," 2021, Science
  • "Building digital twins of the human immune system: toward a roadmap," 2022, npj Digital Medicine
  • "Digital twins in medicine," 2024, Nature Computational Science

Frequent coauthors who have collaborated on multiple occasions with Reinhard Laubenbacher include Borna Mehrad, Luis Sordo Vieira, Luís L. Fonseca, David Murrugarra, and Claus Kadelka.

Their work intersects computational and biomedical fields, especially focusing on the development and application of digital twins in medicine and the study of gene regulatory networks. The integration of computational theory with molecular biology reflects a versatile approach to complex biological and medical problems.

Reinhard Laubenbacher has been recognized as a Fellow by both the American Association for the Advancement of Science (AAAS) in 2015 and the American Mathematical Society in 2013.

Best Publications

  • A computational algebra approach to the reverse engineering of gene regulatory networks

    Reinhard Laubenbacher;Brandilyn Stigler

  • A systems biology approach to iron metabolism.

    Julia Chifman;Reinhard Laubenbacher;Suzy V. Torti

  • Using digital twins in viral infection.

    Reinhard Laubenbacher;James P. Sluka;James A. Glazier

  • Bioinformatics tools for cancer metabolomics

    Grigoriy Blekherman;Reinhard Laubenbacher;Reinhard Laubenbacher;Diego F. Cortes;Pedro Mendes;Pedro Mendes;Pedro Mendes

  • A systems biology view of cancer

    Reinhard Laubenbacher;Valerie Hower;Abdul Jarrah;Suzy V. Torti

  • Reverse-engineering of polynomial dynamical systems

    Abdul Salam Jarrah;Reinhard Laubenbacher;Brandilyn Stigler;Michael Stillman

  • A general map of iron metabolism and tissue-specific subnetworks

    Valerie Hower;Valerie Hower;Pedro Mendes;Pedro Mendes;Frank M. Torti;Reinhard Laubenbacher

  • Discretization of time series data.

    Elena S. Dimitrova;M. Paola Vera Licona;John McGee;Reinhard Laubenbacher

  • Boolean Monomial Dynamical Systems

    Omar Colón-Reyes;Reinhard Laubenbacher;Bodo Pareigis

  • Polynomial algebra of discrete models in systems biology

    Alan Veliz-Cuba;Abdul Salam Jarrah;Reinhard Laubenbacher

  • A mathematical framework for agent based models of complex biological networks.

    Franziska Hinkelmann;David Murrugarra;Abdul Salam Jarrah;Abdul Salam Jarrah;Reinhard C. Laubenbacher

  • Addressing current challenges in cancer immunotherapy with mathematical and computational modelling

    Anna Konstorum;Anthony T. Vella;Adam J. Adler;Reinhard C. Laubenbacher

  • Foundations of a Connectivity Theory for Simplicial Complexes

    Hélène Barcelo;Xenia Kramer;Reinhard Laubenbacher;Christopher Weaver

  • Modeling stochasticity and variability in gene regulatory networks.

    David Murrugarra;David Murrugarra;Alan Veliz-Cuba;Boris Aguilar;Seda Arat;Seda Arat

  • A network biology approach to denitrification in Pseudomonas aeruginosa

    Seda Arat;George S. Bullerjahn;Reinhard C. Laubenbacher

  • A modular computational framework for medical digital twins

    J. Masison;J. Beezley;Y. Mei;H. A. L. Ribeiro

  • Homotopy theory of graphs

    Eric Babson;Hélène Barcelo;Mark Longueville;Reinhard Laubenbacher

  • The dynamics of conjunctive and disjunctive Boolean network models.

    Abdul Salam Jarrah;Reinhard Laubenbacher;Alan Veliz-Cuba

  • Simulating Epstein-Barr virus infection with C-ImmSim

    Filippo Castiglione;Karen Duca;Abdul Jarrah;Reinhard Laubenbacher

  • ADAM: Analysis of Discrete Models of Biological Systems Using Computer Algebra

    Franziska Hinkelmann;Franziska Hinkelmann;Madison Brandon;Bonny Guang;Rustin McNeill

  • Optimization and Control of Agent-Based Models in Biology: A Perspective.

    G An;B G Fitzpatrick;S Christley;P Federico

  • The Effect of Negative Feedback Loops on the Dynamics of Boolean Networks

    Eduardo Sontag;Alan Veliz-Cuba;Reinhard Laubenbacher;Abdul Salam Jarrah

  • Steady state analysis of Boolean molecular network models via model reduction and computational algebra

    Alan Veliz-Cuba;Alan Veliz-Cuba;Boris Aguilar;Franziska Hinkelmann;Reinhard C. Laubenbacher

Frequent Co-Authors

Pedro Mendes
Pedro Mendes University of Connecticut
Suzy V. Torti
Suzy V. Torti University of Connecticut Health Center
Bernd Sturmfels
Bernd Sturmfels Max Planck Institute for Mathematics in the Sciences
Anthony T. Vella
Anthony T. Vella University of Connecticut Health Center
Adam J. Adler
Adam J. Adler University of Connecticut Health Center
Anna Dongari-Bagtzoglou
Anna Dongari-Bagtzoglou University of Connecticut
Michael A. Savageau
Michael A. Savageau University of California, Davis
David A. Thorley-Lawson
David A. Thorley-Lawson Tufts University
Clarissa J. Nobile
Clarissa J. Nobile University of California, Merced
Eduardo D. Sontag
Eduardo D. Sontag Northeastern University

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