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

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Alberto Ippolito

Alberto Ippolito

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 5 papers. Top paper: “Eliciting the antitumor immune response with a conditionally activated PD‐L1 targeting antibody analyzed with a quantitative systems pharmacology model”.

Eliciting the antitumor immune response with a conditionally activated PD‐L1 targeting antibody analyzed with a quantitative systems pharmacology model

CPT Pharmacometrics & Systems Pharmacology(2023)10.1002/psp4.13060

N/A

0DataRank · unranked

11 citations

Hanwen Wang, Yu Zhang, Vahideh Vakil, Hojjat Bazzazi, Aleksander S. Popel +1 more

From virtual patients to digital twins in immuno-oncology: lessons learned from mechanistic quantitative systems pharmacology modeling

npj Digital Medicine(2024)10.1038/s41746-024-01188-4

N/A

0DataRank · unranked

91 citations

Theinmozhi Arulraj, Alberto Ippolito, Aleksander S. Popel, Hanwen Wang

Virtual clinical trials via a QSP immuno-oncology model to simulate the response to a conditionally activated PD-L1 targeting antibody in NSCLC

Journal of Pharmacokinetics and Pharmacodynamics(2024)10.1007/s10928-024-09928-5

N/A

0DataRank · unranked

11 citations

Hanwen Wang, Yu Zhang, Vahideh Vakil, Aleksander S. Popel, Alberto Ippolito

Leveraging multi-omics data to empower quantitative systems pharmacology in immuno-oncology

Briefings in Bioinformatics(2024)10.1093/bib/bbae131

N/A

0DataRank · unranked

15 citations

Hanwen Wang, Alberto Ippolito, Shuming Zhang, Elana J. Fertig, Aleksander S. Popel +1 more

Quantitative Systems Pharmacology Modeling in Immuno-Oncology: Hypothesis Testing, Dose Optimization, and Efficacy Prediction

Handbook of experimental pharmacology(2024)10.1007/164_2024_735

N/A

0DataRank · unranked

5 citations

Theinmozhi Arulraj, Alberto Ippolito, Aleksander S. Popel, Hanwen Wang