World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
56
Citations
9226
World Ranking
14630
National Ranking
6124

Jennifer J. Linderman 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 Jennifer J. Linderman 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: 171 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Jennifer J. Linderman 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 Jennifer J. Linderman 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: 56 D-Index — 28th percentile

28% of scientists in this discipline score the same or lower.

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

Overview

Jennifer J. Linderman is affiliated with the University of Michigan-Ann Arbor in the United States. Their research spans several interconnected fields, primarily within Medicine and Biochemistry, Genetics and Molecular Biology. A significant portion of their work contributes to understanding infectious diseases, molecular biology, oncology, epidemiology, and imaging sciences such as radiology and nuclear medicine.

Their scientific investigations focus extensively on tuberculosis research and epidemiology, monoclonal and polyclonal antibodies research, and Mycobacterium research and diagnosis. Additional topics covered in their body of work include innovative microfluidic and catalytic techniques innovation, HER2/EGFR in cancer research, gene regulatory network analysis, and CAR-T cell therapy research.

Jennifer J. Linderman has authored multiple research papers published in notable scientific venues. Selected recent publications include:

  • "Co-optimization of therapeutic antibody affinity and specificity using machine learning models that generalize to novel mutational space," 2022, Nature Communications
  • "Neutrophil Dynamics Affect Mycobacterium tuberculosis Granuloma Outcomes and Dissemination," 2021, Frontiers in Immunology
  • "Both Pharmacokinetic Variability and Granuloma Heterogeneity Impact the Ability of the First-Line Antibiotics to Sterilize Tuberculosis Granulomas," 2020, Frontiers in Pharmacology
  • "A virtual host model of Mycobacterium tuberculosis infection identifies early immune events as predictive of infection outcomes," 2022, Journal of Theoretical Biology
  • "A computational model tracks whole-lung Mycobacterium tuberculosis infection and predicts factors that inhibit dissemination," 2020, PLoS Computational Biology

Their frequent co-authors include Denise E. Kirschner, JoAnne L. Flynn, Gary D. Luker, Patrick C. Kinnunen, and Greg M. Thurber, reflecting collaborative research efforts predominantly within biomedical modeling and infectious disease domains.

Regarding publication venues, Jennifer J. Linderman has contributed multiple papers to outlets such as bioRxiv (Cold Spring Harbor Laboratory), Frontiers in Immunology, Journal of Theoretical Biology, PLoS Computational Biology, and Cellular and Molecular Bioengineering.

Best Publications

  • Receptors: Models for Binding, Trafficking, and Signaling

    Douglas A Lauffenburger;Jennifer J Linderman

  • Dynamic balance of pro- and anti-inflammatory signals controls disease and limits pathology.

    Joseph M. Cicchese;Stephanie Evans;Caitlin Hult;Louis R. Joslyn

  • Quantitative measurement and control of oxygen levels in microfluidic poly(dimethylsiloxane) bioreactors during cell culture.

    Geeta Mehta;Khamir Mehta;Dhruv Sud;Jonathan W. Song

  • Nanoscale Adhesion Ligand Organization Regulates Osteoblast Proliferation and Differentiation.

    Kuen Yong Lee;Eben Alsberg;Susan Hsiong;Wendy Comisar

  • Macrophage Polarization Drives Granuloma Outcome during Mycobacterium tuberculosis Infection

    Simeone Marino;Nicholas A. Cilfone;Joshua T. Mattila;Jennifer J. Linderman

  • Multiscale Computational Modeling Reveals a Critical Role for TNF-α Receptor 1 Dynamics in Tuberculosis Granuloma Formation

    Mohammad Fallahi-Sichani;Mohammed El-Kebir;Mohammed El-Kebir;Simeone Marino;Denise E. Kirschner

  • Engineering RGD nanopatterned hydrogels to control preosteoblast behavior: a combined computational and experimental approach.

    Wendy A. Comisar;Nikolas H. Kazmers;David J. Mooney;Jennifer J. Linderman

  • A Spatial Focusing Model for G Protein Signals: REGULATOR OF G PROTEIN SIGNALING (RGS) PROTEIN-MEDIATED KINETIC SCAFFOLDING *

    Huailing Zhong;Susan M. Wade;Peter J. Woolf;Jennifer J. Linderman

  • Hard top soft bottom microfluidic devices for cell culture and chemical analysis.

    Geeta Mehta;Jay Lee;Wansik Cha;Yi Chung Tung

  • An Adaptive, Cartesian, Front-Tracking Method for the Motion, Deformation and Adhesion of Circulating Cells

    G. Agresar;J.J. Linderman;G. Tryggvason;K.G. Powell

  • Multi-scale modeling predicts a balance of tumor necrosis factor-α and interleukin-10 controls the granuloma environment during Mycobacterium tuberculosis infection.

    Nicholas A. Cilfone;Cory R. Perry;Denise E. Kirschner;Jennifer J. Linderman

  • Optical imaging in microfluidic bioreactors enables oxygen monitoring for continuous cell culture

    Dhruv Sud;Geeta Mehta;Khamir Mehta;Jennifer Linderman

  • NF-κB Signaling Dynamics Play a Key Role in Infection Control in Tuberculosis.

    Mohammad Fallahi-Sichani;Denise E. Kirschner;Jennifer J. Linderman

  • Differential Risk of Tuberculosis Reactivation among Anti-TNF Therapies Is Due to Drug Binding Kinetics and Permeability

    Mohammad Fallahi-Sichani;JoAnne L. Flynn;Jennifer J. Linderman;Denise E. Kirschner

  • Multiple mechanisms allow Mycobacterium tuberculosis to continuously inhibit MHC class II-mediated antigen presentation by macrophages.

    Stewart T. Chang;Jennifer J. Linderman;Denise E. Kirschner

  • Push-pull perfusion sampling with segmented flow for high temporal and spatial resolution in vivo chemical monitoring.

    Thomas R. Slaney;Jing Nie;Neil D. Hershey;Prasanna K. Thwar

  • Lipid Raft-Mediated Regulation of G-Protein Coupled Receptor Signaling by Ligands which Influence Receptor Dimerization: A Computational Study

    Mohammad Fallahi-Sichani;Jennifer J. Linderman

  • Strategies for Efficient Numerical Implementation of Hybrid Multi-scale Agent-Based Models to Describe Biological Systems

    Nicholas A. Cilfone;Denise E. Kirschner;Jennifer J. Linderman

  • Both Ligand- and Cell-Specific Parameters Control Ligand Agonism in a Kinetic Model of G Protein–Coupled Receptor Signaling

    Tamara L Kinzer-Ursem;Jennifer J Linderman

  • Microtubule assembly is regulated by externally applied strain in cultured smooth muscle cells

    Andrew J. Putnam;James J. Cunningham;Robert G. Dennis;Jennifer J. Linderman

Frequent Co-Authors

Denise E. Kirschner
Denise E. Kirschner University of Michigan–Ann Arbor
Shuichi Takayama
Shuichi Takayama Georgia Institute of Technology
JoAnne L. Flynn
JoAnne L. Flynn University of Pittsburgh
Gary D. Luker
Gary D. Luker University of Michigan–Ann Arbor
David J. Mooney
David J. Mooney Harvard University
Richard R. Neubig
Richard R. Neubig Michigan State University
Mark J. Miller
Mark J. Miller Washington University in St. Louis
Véronique Dartois
Véronique Dartois Rutgers, The State University of New Jersey
Lonnie D. Shea
Lonnie D. Shea University of Michigan–Ann Arbor

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