Tea Pavkov‐Keller

Biochemistry, Genetics and Molecular BiologyMaterials ScienceEnvironmental ScienceMedicine

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 2 papers. Top paper: “Accurate prediction of protein structures and interactions using a three-track neural network”.

Accurate prediction of protein structures and interactions using a three-track neural network

Science(2021)10.1126/science.abj8754

N/A

0DataRank · unranked

5780 citations

Frank DiMaio, Ivan Anishchenko, Justas Dauparas, Sergey Ovchinnikov, Gyu Rie Lee +27 more

A histidine switch regulates pH-dependent filament formation by the caspase-9 CARD

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.06.02.657148

N/A

0DataRank · unranked

0 citations

Đesika Kolarić, Stefan Bohn, Dagmar Kolb, Tea Pavkov‐Keller, Iva Pritišanac +4 more