Jordan Currie

ChemistryBiochemistry, 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 9 papers. Top paper: “Protein prediction models support widespread post-transcriptional regulation of protein abundance by interacting partners”.

Protein prediction models support widespread post-transcriptional regulation of protein abundance by interacting partners

PLoS Computational Biology(2022)10.1371/journal.pcbi.1010702

N/A

0.515DataRank · unranked

30 citations

Michael J. Lippincott, Jordan Currie, Robert Canfield, Maggie P. Y. Lam, Edward Lau +1 more

Simultaneous proteome localization and turnover analysis reveals spatiotemporal features of protein homeostasis disruptions

Nature Communications(2024)10.1038/s41467-024-46600-5

N/A

0.505DataRank · unranked

28 citations

Vyshnavi Manda, Sean K Robinson, Celine Lai, Vertica Agnihotri, Veronica Hidalgo +8 more

Deuterium labeling enables proteome-wide turnover kinetics analysis in cell culture

Cell Reports Methods(2025)10.1016/j.crmeth.2025.101104

N/A

0.208DataRank · unranked

3 citations

Dominic C. M. Ng, Jordan Currie, Alexander Black, Boomathi Pandi, Vyshnavi Manda +7 more

Deuterium labeling enables proteome wide turnover kinetics analysis in cell culture

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.01.30.635596

N/A

0.165DataRank · unranked

2 citations

Dominic C. M. Ng, Jordan Currie, Alexander Black, Boomathi Pandi, Vyshnavi Manda +7 more

Protein prediction models support widespread post-transcriptional regulation of protein abundance by interacting partners

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.03.14.484316

N/A

0DataRank · unranked

1 citations

Michael J. Lippincott, Jordan Currie, Robert Canfield, Maggie P. Y. Lam, Edward Lau +1 more

Simultaneous proteome localization and turnover analysis reveals spatiotemporal features of protein homeostasis disruptions

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.01.04.521821

N/A

0DataRank · unranked

2 citations

Vyshnavi Manda, Sean K Robinson, Celine Lai, Vertica Agnihotri, Veronica Hidalgo +8 more

Longevity of cardiac and skeletal muscle proteins is dependent on tissue and subcellular compartmentation patterns

Cell Reports(2025)10.1016/j.celrep.2025.116768

N/A

0DataRank · unranked

4 citations

Jordan Currie, Lorena Alamillo, Jason Flint, Keun-Young Kim, Marc Debliqui +6 more

Improved Method to Determine Protein Turnover Rates with Heavy Water Labeling by Mass Isotopomer Ratio Selection

Journal of Proteome Research(2025)10.1021/acs.jproteome.4c01012

N/A

0DataRank · unranked

5 citations

Dominic C. M. Ng, Boomathi Pandi, Alexander Black, Vyshnavi Manda, C Durham +4 more

Co-culture with normal and senescent AC16 cardiomyocytes modulates fibrotic response in primary human ventricular fibroblasts

PubMed(2023)10.17912/micropub.biology.000864

N/A

0DataRank · unranked

0 citations

Nikhitha Kastury, C Durham, Jordan Currie, Milton Amaya, Maggie P. Y. Lam +2 more