🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Alexis Hoerter

ORCID: 0000-0001-6667-1796

MedicineImmunology and MicrobiologyAgricultural and Biological Sciences

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 4 papers. Top paper: “Agent-based model predicts that layered structure and 3D movement work synergistically to reduce bacterial load in 3D in vitro models of tuberculosis granuloma”.

Agent-based model predicts that layered structure and 3D movement work synergistically to reduce bacterial load in 3D in vitro models of tuberculosis granuloma

PLoS Computational Biology(2024)10.1371/journal.pcbi.1012266

N/A

0.292DataRank · unranked

6 citations

Alexis Hoerter, Leigh A. Kotzé, Nelita du Plessis, Elsje Pienaar, Alexa Petrucciani

Timing matters in macrophage/CD4+ T cell interactions: an agent-based model comparing Mycobacterium tuberculosis host-pathogen interactions between latently infected and naïve individuals

mSystems(2025)10.1128/msystems.01290-24

N/A

0.292DataRank · unranked

6 citations

Alexa Petrucciani, Jordan R. Bonifacio, Eusondia Arnett, Larry S. Schlesinger, Elsje Pienaar +1 more

Systems biology approaches to investigate the role of granulomas in TB-HIV coinfection

Frontiers in Immunology(2022)10.3389/fimmu.2022.1014515

N/A

0DataRank · unranked

14 citations

Eusondia Arnett, Larry S. Schlesinger, Elsje Pienaar, Alexis Hoerter

In silico agent-based modeling approach to characterize multiple in vitro tuberculosis infection models

PLoS ONE(2024)10.1371/journal.pone.0299107

N/A

0DataRank · unranked

8 citations

Alexis Hoerter, Leigh A. Kotzé, Nelita du Plessis, Elsje Pienaar, Alexa Petrucciani