Paul H. Acosta

The University of Texas Southwestern Medical Center

Biochemistry, Genetics and Molecular BiologyMedicineComputer Science

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: “Intratumoral Resolution of Driver Gene Mutation Heterogeneity in Renal Cancer Using Deep Learning”.

Intratumoral Resolution of Driver Gene Mutation Heterogeneity in Renal Cancer Using Deep Learning

Cancer Research(2022)10.1158/0008-5472.can-21-2318

N/A

0DataRank · unranked

33 citations

Vandana Panwar, Vipul Jarmale, Alana Christie, Jay Jasti, Vitaly Margulis +8 more

Deep learning for subtypes identification of pure seminoma of the testis

medRxiv(2022)10.1101/2022.05.16.22275153

N/A

0DataRank · unranked

0 citations

Paul H. Acosta, Liwei Jia, Nick V. Grishin, Kirill E. Medvedev

Deep Learning for Subtypes Identification of Pure Seminoma of the Testis

Clinical Pathology(2024)10.1177/2632010x241232302

N/A

0DataRank · unranked

4 citations

Paul H. Acosta, Liwei Jia, Nick V. Grishin, Kirill E. Medvedev