World's Best Scientists 2026 revealed!

D-Index & Metrics

Immunology

D-Index
68
Citations
18235
World Ranking
2574
National Ranking
1229

Denise E. Kirschner publication distribution in Immunology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Immunology in 2026. The highlighted bar marks where Denise E. Kirschner sits on this spectrum.

62–71 publications: 9 scientists 72–81 publications: 23 scientists 82–91 publications: 40 scientists 92–101 publications: 72 scientists 102–111 publications: 86 scientists 112–121 publications: 108 scientists 122–131 publications: 150 scientists 132–141 publications: 160 scientists 142–151 publications: 159 scientists 152–161 publications: 189 scientists 162–171 publications: 166 scientists 172–181 publications: 181 scientists 182–191 publications: 188 scientists 192–201 publications: 187 scientists 202–211 publications: 178 scientists 212–221 publications: 158 scientists 222–231 publications: 168 scientists 232–241 publications: 159 scientists 242–251 publications: 160 scientists 252–261 publications: 148 scientists 262–271 publications: 116 scientists 272–281 publications: 125 scientists 282–291 publications: 115 scientists 292–301 publications: 111 scientists 302–311 publications: 95 scientists 312–321 publications: 97 scientists 322–331 publications: 97 scientists 332–341 publications: 99 scientists 342–351 publications: 96 scientists 352–361 publications: 68 scientists 362–371 publications: 76 scientists 372–381 publications: 71 scientists 382–391 publications: 71 scientists 392–401 publications: 62 scientists 402–411 publications: 54 scientists 412–421 publications: 41 scientists 422–431 publications: 63 scientists 432–441 publications: 53 scientists 442–451 publications: 31 scientists 452–461 publications: 42 scientists 462–471 publications: 40 scientists 472–481 publications: 29 scientists 482–491 publications: 34 scientists 492–501 publications: 30 scientists 502–511 publications: 23 scientists 512–521 publications: 41 scientists 522–531 publications: 29 scientists 532–541 publications: 28 scientists 542–551 publications: 16 scientists 552–561 publications: 18 scientists 562–571 publications: 18 scientists 572–581 publications: 17 scientists 582–591 publications: 17 scientists 592–601 publications: 17 scientists 602–611 publications: 19 scientists 612–621 publications: 13 scientists 622–631 publications: 12 scientists 632–641 publications: 11 scientists 642–651 publications: 16 scientists 652–661 publications: 9 scientists 662–671 publications: 5 scientists 672–681 publications: 13 scientists 682–691 publications: 12 scientists 692–701 publications: 6 scientists 702–711 publications: 6 scientists 712–721 publications: 9 scientists 722–731 publications: 9 scientists 732–741 publications: 6 scientists 742–751 publications: 11 scientists 752–761 publications: 10 scientists 762–771 publications: 7 scientists 772–781 publications: 12 scientists 782–791 publications: 7 scientists 792–801 publications: 5 scientists 802–806 publications: 1 scientists 807+ publications: 100 scientists
62 publications 807+

This scientist: 187 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 807 publications or more.

Denise E. Kirschner D-index placement in Immunology in 2026

The chart shows the D-index (discipline H-index) distribution of Immunology scientists ranked by Research.com in 2026. The highlighted bar marks where Denise E. Kirschner sits on this spectrum.

40–41 D-Index: 28 scientists 42–43 D-Index: 91 scientists 44–45 D-Index: 157 scientists 46–47 D-Index: 192 scientists 48–49 D-Index: 175 scientists 50–51 D-Index: 188 scientists 52–53 D-Index: 177 scientists 54–55 D-Index: 155 scientists 56–57 D-Index: 194 scientists 58–59 D-Index: 201 scientists 60–61 D-Index: 197 scientists 62–63 D-Index: 201 scientists 64–65 D-Index: 173 scientists 66–67 D-Index: 167 scientists 68–69 D-Index: 172 scientists 70–71 D-Index: 199 scientists 72–73 D-Index: 184 scientists 74–75 D-Index: 133 scientists 76–77 D-Index: 162 scientists 78–79 D-Index: 127 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 125 scientists 84–85 D-Index: 121 scientists 86–87 D-Index: 102 scientists 88–89 D-Index: 96 scientists 90–91 D-Index: 75 scientists 92–93 D-Index: 72 scientists 94–95 D-Index: 74 scientists 96–97 D-Index: 66 scientists 98–99 D-Index: 68 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 60 scientists 104–105 D-Index: 54 scientists 106–107 D-Index: 36 scientists 108–109 D-Index: 23 scientists 110–111 D-Index: 52 scientists 112–113 D-Index: 41 scientists 114–115 D-Index: 34 scientists 116–117 D-Index: 25 scientists 118–119 D-Index: 28 scientists 120–121 D-Index: 11 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 27 scientists 126–127 D-Index: 19 scientists 128–129 D-Index: 20 scientists 130–131 D-Index: 16 scientists 132–133 D-Index: 17 scientists 134–135 D-Index: 14 scientists 136–137 D-Index: 15 scientists 138–139 D-Index: 9 scientists 140–141 D-Index: 11 scientists 142–143 D-Index: 9 scientists 144–145 D-Index: 9 scientists 146–147 D-Index: 7 scientists 148–149 D-Index: 7 scientists 150–151 D-Index: 7 scientists 152–153 D-Index: 5 scientists 154–155 D-Index: 8 scientists 156 D-Index: 6 scientists 157+ D-Index: 96 scientists
40 D-Index 157+

This scientist: 68 D-Index — 49th percentile

49% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 157 D-Index or more.

Overview

Denise E. Kirschner is affiliated with the University of Michigan-Ann Arbor in the United States. Their research primarily focuses on infectious diseases, especially tuberculosis, as well as related fields such as epidemiology and molecular biology. Their work spans various interdisciplinary areas including biomedical engineering and modeling and simulation.

Their recent publications reflect a strong emphasis on systems biology, disease modeling, and immunology. Among notable papers are:

  • To Sobol or not to Sobol? The effects of sampling schemes in systems biology applications, 2021, Mathematical Biosciences
  • Predicting the second wave of COVID-19 in Washtenaw County, MI, 2020, Journal of Theoretical Biology
  • Systems biology predicts that fibrosis in tuberculous granulomas may arise through macrophage-to-myofibroblast transformation, 2020, PLoS Computational Biology
  • 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

Denise E. Kirschner has collaborated frequently with several researchers, including:

  • Jennifer J. Linderman
  • JoAnne L. Flynn
  • Maral Budak
  • Joshua T. Mattila
  • Pauline Maiello

Their publications appear regularly in various scientific journals and preprint servers, notably:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Theoretical Biology
  • PLoS Computational Biology
  • Frontiers in Immunology
  • Frontiers in Pharmacology

Their main fields of study focus on medicine and biochemistry, genetics, and molecular biology. Subfields of their research include infectious diseases, epidemiology, molecular biology, modeling and simulation, and biomedical engineering.

The topics covered by their work include:

  • Tuberculosis Research and Epidemiology
  • Mycobacterium research and diagnosis
  • COVID-19 epidemiological studies
  • Innovative Microfluidic and Catalytic Techniques Innovation
  • Vaccines and immunoinformatics approaches
  • Infectious Diseases and Tuberculosis
  • Data-Driven Disease Surveillance

Best Publications

  • Dynamics of HIV infection of CD4+ T cells

    Alan S. Perelson;Denise E. Kirschner;Rob De Boer

  • Modeling immunotherapy of the tumor-immune interaction.

    Denise E. Kirschner;John Carl Panetta

  • Optimal control of the chemotherapy of HIV.

    Denise Kirschner;Suzanne Lenhart;Steve Serbin

  • Identifying control mechanisms of granuloma formation during M. tuberculosis infection using an agent-based model.

    Jose L. Segovia-Juarez;Suman Ganguli;Denise Kirschner

  • Microenvironments in tuberculous granulomas are delineated by distinct populations of macrophage subsets and expression of nitric oxide synthase and arginase isoforms

    Joshua T. Mattila;Olabisi O. Ojo;Diane Kepka-Lenhart;Simeone Marino

  • Variability in tuberculosis granuloma T cell responses exists, but a balance of pro- and anti-inflammatory cytokines is associated with sterilization.

    Hannah Priyadarshini Gideon;Jia Yao Phuah;Amy J. Myers;Bryan D. Bryson

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

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

  • A Model to Predict Cell-Mediated Immune Regulatory Mechanisms During Human Infection with Mycobacterium tuberculosis

    Janis E. Wigginton;Denise Kirschner

  • Using Mathematics to Understand HIV Immune Dynamics

    Denise Kirschner

  • A mathematical model of tumor-immune evasion and siRNA treatment

    J.C. Arciero;T.L. Jackson;D.E. Kirschner

  • A model for treatment strategy in the chemotherapy of aids

    Denise Kirschner;G. F. Webb

  • The human immune response to Mycobacterium tuberculosis in lung and lymph node.

    Simeone Marino;Denise E. Kirschner

  • 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

  • Contribution of CD8+ T cells to control of Mycobacterium tuberculosis infection.

    Dhruv Sud;Carolyn Bigbee;JoAnne L. Flynn;Denise E. Kirschner

  • Synergy between Individual TNF-Dependent Functions Determines Granuloma Performance for Controlling Mycobacterium tuberculosis Infection

    J. Christian J. Ray;JoAnne L. Flynn;Denise E. Kirschner

  • Systems biology of persistent infection: tuberculosis as a case study.

    Douglas Young;Jaroslav Stark;Denise Kirschner

  • Dendritic cell trafficking and antigen presentation in the human immune response to Mycobacterium tuberculosis.

    Simeone Marino;Santosh Pawar;Craig L. Fuller;Todd A. Reinhart

  • Tumor necrosis factor blockade in chronic murine tuberculosis enhances granulomatous inflammation and disorganizes granulomas in the lungs.

    Soumya D. Chakravarty;Guofeng Zhu;Ming C. Tsai;Vellore P. Mohan

  • Dynamics of Co-infection with M. tuberculosis and HIV-1

    Denise E. Kirschner

  • Reevaluation of T Cell Receptor Excision Circles as a Measure of Human Recent Thymic Emigrants

    Ping Ye;Denise E. Kirschner

Frequent Co-Authors

Jennifer J. Linderman
Jennifer J. Linderman University of Michigan–Ann Arbor
JoAnne L. Flynn
JoAnne L. Flynn University of Pittsburgh
Glenn F. Webb
Glenn F. Webb Vanderbilt University
Philana Ling Lin
Philana Ling Lin University of Pittsburgh
Todd A. Reinhart
Todd A. Reinhart University of Pittsburgh
Mark J. Miller
Mark J. Miller Washington University in St. Louis
Véronique Dartois
Véronique Dartois Rutgers, The State University of New Jersey
Bethany B. Moore
Bethany B. Moore University of Michigan–Ann Arbor
John Chan
John Chan Albert Einstein College of Medicine
Martin J. Blaser
Martin J. Blaser Rutgers, The State University of New Jersey

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Related Online Degrees & Career Pathways

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