Denise E. Kirschner

MedicineImmunology and MicrobiologyBiochemistry, Genetics and Molecular Biology

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 33 papers. Top paper: “Predicting the second wave of COVID-19 in Washtenaw County, MI”.

Predicting the second wave of COVID-19 in Washtenaw County, MI

Journal of Theoretical Biology(2020)10.1016/j.jtbi.2020.110461

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0DataRank · unranked

81 citations

Marisa C. Eisenberg, Denise E. Kirschner, Marissa Renardy

Multi-scale models of lung fibrosis

Matrix Biology(2020)10.1016/j.matbio.2020.04.003

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0DataRank · unranked

38 citations

Stephanie Evans, Riley T. Hannan, Thomas H. Barker, Jason H. T. Bates, Catherine A. Bonham +4 more

Systems biology predicts that fibrosis in tuberculous granulomas may arise through macrophage-to-myofibroblast transformation

PLoS Computational Biology(2020)10.1371/journal.pcbi.1008520

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0DataRank · unranked

50 citations

James Butler, Joshua T. Mattila, Denise E. Kirschner, Stephanie Evans

Both Pharmacokinetic Variability and Granuloma Heterogeneity Impact the Ability of the First-Line Antibiotics to Sterilize Tuberculosis Granulomas

Frontiers in Pharmacology(2020)10.3389/fphar.2020.00333

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0DataRank · unranked

41 citations

Véronique Dartois, Denise E. Kirschner, Jennifer J. Linderman, Joseph M. Cicchese

CaliPro: A Calibration Protocol That Utilizes Parameter Density Estimation to Explore Parameter Space and Calibrate Complex Biological Models

Cellular and Molecular Bioengineering(2020)10.1007/s12195-020-00650-z

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0DataRank · unranked

37 citations

Denise E. Kirschner, Jennifer J. Linderman, Louis R. Joslyn

A computational model tracks whole-lung Mycobacterium tuberculosis infection and predicts factors that inhibit dissemination

PLoS Computational Biology(2020)10.1371/journal.pcbi.1007280

N/A

0DataRank · unranked

34 citations

Louis R. Joslyn, H. Jacob Borish, Hannah P. Gideon, JoAnne L. Flynn, Denise E. Kirschner +2 more

A Framework for Network-Based Epidemiological Modeling of Tuberculosis Dynamics Using Synthetic Datasets

Bulletin of Mathematical Biology(2020)10.1007/s11538-020-00752-9

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0DataRank · unranked

26 citations

Denise E. Kirschner, Marissa Renardy

Predicting the second wave of COVID-19 in Washtenaw County, MI

medRxiv(2020)10.1101/2020.07.06.20147223

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0DataRank · unranked

5 citations

Denise E. Kirschner, Marissa Renardy

A multi-scale pipeline linking drug transcriptomics with pharmacokinetics predicts in vivo interactions of tuberculosis drugs

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.09.03.281550

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0DataRank · unranked

4 citations

Awanti Sambarey, Denise E. Kirschner, Jennifer J. Linderman, Sriram Chandrasekaran, Joseph M. Cicchese

To Sobol or not to Sobol? The effects of sampling schemes in systems biology applications

Mathematical Biosciences(2021)10.1016/j.mbs.2021.108593

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0DataRank · unranked

155 citations

Louis R. Joslyn, Jess A. Millar, Denise E. Kirschner, Marissa Renardy

Neutrophil Dynamics Affect Mycobacterium tuberculosis Granuloma Outcomes and Dissemination

Frontiers in Immunology(2021)10.3389/fimmu.2021.712457

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0DataRank · unranked

59 citations

Joshua T. Mattila, Hannah P. Gideon, Jennifer J. Linderman, Denise E. Kirschner, Caitlin Hult

Spatial Organization and Recruitment of Non-Specific T Cells May Limit T Cell-Macrophage Interactions Within Mycobacterium tuberculosis Granulomas

Frontiers in Immunology(2021)10.3389/fimmu.2020.613638

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0DataRank · unranked

31 citations

James Butler, Stephanie Evans, Nicole L. Grant, Joshua T. Mattila, Jennifer J. Linderman +3 more

A multi-scale pipeline linking drug transcriptomics with pharmacokinetics predicts in vivo interactions of tuberculosis drugs

Scientific Reports(2021)10.1038/s41598-021-84827-0

N/A

0DataRank · unranked

26 citations

Awanti Sambarey, Denise E. Kirschner, Jennifer J. Linderman, Sriram Chandrasekaran, Joseph M. Cicchese

Structural identifiability analysis of age-structured PDE epidemic models

Journal of Mathematical Biology(2022)10.1007/s00285-021-01711-1

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0DataRank · unranked

32 citations

Denise E. Kirschner, Marisa C. Eisenberg, Marissa Renardy

A virtual host model of Mycobacterium tuberculosis infection identifies early immune events as predictive of infection outcomes

Journal of Theoretical Biology(2022)10.1016/j.jtbi.2022.111042

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0DataRank · unranked

37 citations

Jennifer J. Linderman, Denise E. Kirschner, Louis R. Joslyn

T cell transcription factor expression evolves over time in granulomas from Mycobacterium tuberculosis-infected cynomolgus macaques

Cell Reports(2022)10.1016/j.celrep.2022.110826

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0DataRank · unranked

27 citations

Pauline Maiello, Edwin Klein, Philana Ling Lin, H. Jacob Borish, Jaime Tomko +6 more

Concomitant immunity to M. tuberculosis infection

Scientific Reports(2022)10.1038/s41598-022-24516-8

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0DataRank · unranked

12 citations

JoAnne L. Flynn, Denise E. Kirschner, Jennifer J. Linderman, Louis R. Joslyn

Optimizing tuberculosis treatment efficacy: comparing the standard regimen with Moxifloxacin-containing regimens

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.12.18.520959

N/A

0DataRank · unranked

1 citations

Joseph M. Cicchese, Pauline Maiello, H. Jacob Borish, Alexander G. White, Harris B. Chishti +12 more

T cell transcription factor expression evolves as adaptive immunity matures in granulomas from Mycobacterium tuberculosis -infected cynomolgus macaques

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.01.25.477732

N/A

0DataRank · unranked

0 citations

Pauline Maiello, Edwin Klein, Philana Ling Lin, H. Jacob Borish, Jaime Tomko +6 more

Optimizing tuberculosis treatment efficacy: Comparing the standard regimen with Moxifloxacin-containing regimens

PLoS Computational Biology(2023)10.1371/journal.pcbi.1010823

N/A

0DataRank · unranked

20 citations

Joseph M. Cicchese, Pauline Maiello, H. Jacob Borish, Alexander G. White, Harris B. Chishti +12 more

Calibration methods to fit parameters within complex biological models

Frontiers in Applied Mathematics and Statistics(2023)10.3389/fams.2023.1256443

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0DataRank · unranked

13 citations

Denise E. Kirschner, Pariksheet Nanda

Disease phenotypic and geospatial features vary across genetic lineages for Tuberculosis within Arkansas, 2010–2020

PLOS Global Public Health(2023)10.1371/journal.pgph.0001580

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0DataRank · unranked

1 citations

Craig Gillen, Zhenhua Yang, Leonard Mukasa, Joseph H. Bates, Russ Butler +2 more

Development and Analysis of Multiscale Models for Tuberculosis: From Molecules to Populations

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.11.13.566861

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0DataRank · unranked

6 citations

Maral Budak, Christian Michael, Kathryn Krupinsky, Denise E. Kirschner, Pariksheet Nanda

Forum on immune digital twins: a meeting report

arXiv (Cornell University)(2023)10.48550/arxiv.2310.18374

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0DataRank · unranked

1 citations

Fred Adler, Gary An, Filippo Castiglione, Stephen Eubank, Luís L. Fonseca +14 more

Semi-automated colony-forming unit counting for biosafety level 3 laboratories

STAR Protocols(2023)10.1016/j.xpro.2023.102442

N/A

0DataRank · unranked

0 citations

Sophie Engels, Pariksheet Nanda, Maral Budak, Talia Greenstein, Mariana Pereira Moraes +3 more

Forum on immune digital twins: a meeting report

npj Systems Biology and Applications(2024)10.1038/s41540-024-00345-5

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0DataRank · unranked

24 citations

Fred Adler, Gary An, Filippo Castiglione, Stephen Eubank, Luís L. Fonseca +14 more

A framework for multi-scale intervention modeling: virtual cohorts, virtual clinical trials, and model-to-model comparisons

Frontiers in Systems Biology(2024)10.3389/fsysb.2023.1283341

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0DataRank · unranked

14 citations

Sayed Ahmad Almohri, Jennifer J. Linderman, Denise E. Kirschner, Christian Michael

A systematic efficacy analysis of tuberculosis treatment with BPaL‐containing regimens using a multiscale modeling approach

CPT Pharmacometrics & Systems Pharmacology(2024)10.1002/psp4.13117

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0DataRank · unranked

11 citations

Laura E. Via, Danielle M. Weiner, Clifton E. Barry, Pariksheet Nanda, Gabrielle Michael +3 more

Distinguishing multiple roles of T cell and macrophage involvement in determining lymph node fates during Mycobacterium tuberculosis infection

PLoS Computational Biology(2025)10.1371/journal.pcbi.1013033

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0DataRank · unranked

5 citations

Christian Michael, Pariksheet Nanda, Joshua T. Mattila, Denise E. Kirschner, Kathryn Krupinsky

GEODE: an in silico tool that translates in vitro to in vivo predictions of tuberculosis antibiotic combination efficacy

Frontiers in Pharmacology(2025)10.3389/fphar.2025.1639673

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0DataRank · unranked

1 citations

Mariana Pereira Moraes, Talia Greenstein, Pauline Maiello, H. Jacob Borish, Harris B. Chishti +8 more

Rankings of tuberculosis antibiotic treatment regimens are sensitive to spatial scale, detection limit, and initial host bacterial burden

Journal of Theoretical Biology(2025)10.1016/j.jtbi.2025.112176

N/A

0DataRank · unranked

2 citations

Maral Budak, Pauline Maiello, Kara Kracinovsky, Mark A. Rodgers, Jaime Tomko +5 more

Rankings of tuberculosis antibiotic treatment regimens are sensitive to spatial scale, detection limit, and initial host bacterial burden

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.04.10.648004

N/A

0DataRank · unranked

0 citations

Maral Budak, Pauline Maiello, Kara Kracinovsky, Mark A. Rodgers, Jaime Tomko +5 more

A novel machine-learning based optimization: identifying new treatment regimens for tuberculosis

Numerical Algebra Control and Optimization(2025)10.3934/naco.2025025

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0DataRank · unranked

0 citations

Pariksheet Nanda, Denise E. Kirschner, Maral Budak