Aditya Deshpande

Biochemistry, Genetics and Molecular BiologyMedicine

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 5 papers. Top paper: “Ultrasensitive plasma-based monitoring of tumor burden using machine-learning-guided signal enrichment”.

Ultrasensitive plasma-based monitoring of tumor burden using machine-learning-guided signal enrichment

Nature Medicine(2024)10.1038/s41591-024-03040-4

N/A

2.1DataRank · unranked

107 citations

Minita Shah, Amanda Frydendahl, Daniel Halmos, Cole C. Khamnei, Nadia Øgaard +56 more

Whole-genome characterization of lung adenocarcinomas lacking alterations in the RTK/RAS/RAF pathway

Cell Reports(2021)10.1016/j.celrep.2021.108707

N/A

1.1DataRank · unranked

32 citations

Xiaotong Yao, Siddhartha Devarakonda, Aditya Deshpande, Jeffrey S. Damrauer, Tiago C. Silva +77 more

Most large structural variants in cancer genomes can be detected without long reads

Nature Genetics(2023)10.1038/s41588-023-01540-6

N/A

0.561DataRank · unranked

41 citations

Julie M. Behr, Aditya Deshpande, Kevin Hadi, Xiaotong Yao, Huasong Tian +15 more

Machine learning guided signal enrichment for ultrasensitive plasma tumor burden monitoring

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.01.17.476508

N/A

0.434DataRank · unranked

17 citations

Minita Shah, Nadia Øgaard, Cole C. Khamnei, Amanda Frydendahl, Aditya Deshpande +37 more

Recurrent somatic mutations as predictors of immunotherapy response

Nature Communications(2022)10.1038/s41467-022-31055-3

N/A

0DataRank · unranked

31 citations

Aditya Deshpande, Mateusz Legut, Marcin Imieliński, Neville E. Sanjana, Zoran Gajic