Author

Sara Ahadi

Stanford MedicineORCID 0000-0002-7849-2135Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 4 Research Focus:benchmarking· 3 Assay:proteomics· 3 Approach:statistical model· 3 Research Focus:differential expression· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1

Frequent Co-Authors

Wenyu ZhouiD· 2 shared Ahmed A. MetwallyiD· 1 shared Ajay KumariD· 1 shared Ali BashiriD· 1 shared Amir Hassan BahmaniiD· 1 shared Aron Phong· 1 shared Avinash V. Varadarajan· 1 shared Balazs G. Szoke· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

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2 shared papersSystems Biology

Wenyu ZhouORCID

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Author profile →

4 papers

Recent·Most cited

The Current Landscape of Plasma Proteomics: Technical Advances, Biological Insights, and Biomarker Discovery

Douglas Y. Kirsher, Shreya Chand, Aron Phong, Bich Nguyen, Balazs G. Szoke, Sara Ahadi

This study compares seven plasma proteomics platforms across three technologies to evaluate their performance and implications for biomarker discovery.

Communications Chemistry · Sep 25, 2025Peer-reviewedBioinformatics

Longitudinal fundus imaging and its genome-wide association analysis provide evidence for a human retinal aging clock

Sara Ahadi, Kenneth Anthony Wilson, Boris Babenko, Cory Y. McLean, Drew Bryant, Orion Pritchard, Ajay Kumar, Enrique M. Carrera, Ricardo Lamy, Jay M. Stewart, Avinash V. Varadarajan, Marc Berndl, Pankaj Kapahi, Ali Bashir

This paper develops a retinal aging clock from fundus images to predict chronological age and identifies genetic variants associated with accelerated aging.

eLife · Mar 23, 2023Peer-reviewedBioinformatics

Molecular Choreography of Acute Exercise

Kévin Contrepois, Si Wu, Kegan James Moneghetti, Daniel Hornburg, Sara Ahadi, Ming-Shian Tsai, Ahmed A. Metwally, Eric Wei, Brittany Lee‐McMullen, Jeniffer V. Quijada, Songjie Chen, Jeffrey Wilcox Christle, Mathew Ellenberger, Brunilda Balliu, Shalina Taylor, , Michael P. Snyder

The paper characterizes the dynamic multi-omic molecular response to acute exercise and identifies biomarkers of fitness.

Cell · May 1, 2020Peer-reviewedSystems Biology

DIAlignR provides precise retention time alignment across distant runs in DIA and targeted proteomics

Shubham Gupta, Sara Ahadi, Wenyu Zhou, Hannes Luc Röst

DIAlignR improves retention time alignment in SWATH-MS data by aligning raw MS2 chromatograms, outperforming existing methods and reducing alignment error significantly.

Molecular & Cellular Proteomics · Jan 31, 2019Peer-reviewedBioinformatics