Gabriella Li

Biochemistry, 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 3 papers. Top paper: “Quantifying Yeast Microtubules and Spindles Using the Toolkit for Automated Microtubule Tracking (TAMiT)”.

Quantifying Yeast Microtubules and Spindles Using the Toolkit for Automated Microtubule Tracking (TAMiT)

Biomolecules(2023)10.3390/biom13060939

N/A

0.208DataRank · unranked

3 citations

Zachary R. Gergely, Patrick Flynn, Gabriella Li, Jeffrey K. Moore, Meredith D. Betterton +1 more

Mechanisms of microtubule dynamics and force generation examined with computational modeling and electron cryotomography

Nature Communications(2020)10.1038/s41467-020-17553-2

N/A

0DataRank · unranked

94 citations

Evgeni V. Ulyanov, Eileen O’Toole, Cynthia Page, Dmitrii S. Vinogradov, Garry Morgan +7 more

Quantifying yeast microtubules and spindles using the Toolkit for Automated Microtubule Tracking (TAMiT)

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.02.07.527544

N/A

0DataRank · unranked

0 citations

Zachary R. Gergely, Patrick Flynn, Gabriella Li, Jeffrey K. Moore, Meredith D. Betterton +1 more