Sahil Kulkarni

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: “Multiphysics pharmacokinetic model for targeted nanoparticles”.

Multiphysics pharmacokinetic model for targeted nanoparticles

Frontiers in Medical Technology(2022)10.3389/fmedt.2022.934015

N/A

0DataRank · unranked

10 citations

Sahil Kulkarni, Christina Eng, shurui feng, Avishi Malaviya, Ravi Radhakrishnan +1 more

Physiologically Based Multiphysics Pharmacokinetic Model for Determining the Temporal Biodistribution of Targeted Nanoparticles

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.03.07.483218

N/A

0DataRank · unranked

2 citations

Sahil Kulkarni, Christina Eng, shurui feng, Avishi Malavia, Ravi Radhakrishnan +1 more

A percolation phase transition controls complement protein coating of surfaces

Cell(2025)10.1016/j.cell.2025.05.026

N/A

0DataRank · unranked

10 citations

Sahil Kulkarni, Jia Nong, Marco E. Zamora, Alireza Ebrahimimojarad, Elizabeth D. Hood +16 more

Machine learning enabled multiscale model for nanoparticle margination and physiology based pharmacokinetics

Computers & Chemical Engineering(2025)10.1016/j.compchemeng.2025.109081

N/A

0DataRank · unranked

5 citations

Benjamin Lin, Ravi Radhakrishnan, Sahil Kulkarni