Poonam Hosamani

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 4 papers. Top paper: “Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts”.

Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts

Research Square(2023)10.21203/rs.3.rs-3483777/v1

N/A

0DataRank · unranked

96 citations

Cara Van Uden, Louis Blankemeier, Jean-Benoit Delbrouck, Asad Aali, Christian Bluethgen +14 more

Adapted Large Language Models Can Outperform Medical Experts in Clinical Text Summarization

arXiv (Cornell University)(2023)10.48550/arxiv.2309.07430

N/A

0DataRank · unranked

35 citations

Cara Van Uden, Louis Blankemeier, Jean-Benoit Delbrouck, Asad Aali, Christian Bluethgen +14 more

Adapted large language models can outperform medical experts in clinical text summarization

Nature Medicine(2024)10.1038/s41591-024-02855-5

N/A

0DataRank · unranked

680 citations

Cara Van Uden, Louis Blankemeier, Jean-Benoit Delbrouck, Asad Aali, Christian Bluethgen +14 more

Expert-level validation of AI-generated medical text with scalable language models

Research Square(2025)10.21203/rs.3.rs-7041107/v1

N/A

0DataRank · unranked

1 citations

Vasiliki Bikia, Maya Varma, Nicole Chiou, Sophie Ostmeier, Arnav Singhvi +22 more