🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Marco Gustav

Center for Systems Biology Dresden

ORCID: 0009-0009-3598-5720

Also affiliated with University Hospital Carl Gustav Carus, Else Kröner Fresenius Center for Digital Health, Technische Universität Dresden

Computer ScienceMedicineBiochemistry, 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 3 papers. Top paper: “Direct prediction of Homologous Recombination Deficiency from routine histology in ten different tumor types with attention-based Multiple Instance Learning: a development and validation study”.

Direct prediction of Homologous Recombination Deficiency from routine histology in ten different tumor types with attention-based Multiple Instance Learning: a development and validation study

medRxiv(2023)10.1101/2023.03.08.23286975

N/A

0.396DataRank · unranked

13 citations

Omar S. M. El Nahhas, Hannah Sophie Muti, Tobias Seibel, Didem Çifçi, Marko van Treeck +10 more

Assessing Genotype-Phenotype Correlations with Deep Learning in Colorectal Cancer: A Multi-Centric Study

medRxiv(2025)10.1101/2025.02.04.25321660

N/A

0.104DataRank · unranked

1 citations

Marko van Treeck, Nic G. Reitsam, Zunamys I. Carrero, Chiara Maria Lavinia Loeffler, Asier Rabasco Meneghetti +17 more

Assessing genotype−phenotype correlations in colorectal cancer with deep learning: a multicentre cohort study

The Lancet Digital Health(2025)10.1016/j.landig.2025.100891

N/A

0DataRank · unranked

7 citations

Marko van Treeck, Nic G. Reitsam, Zunamys I. Carrero, Chiara Maria Lavinia Loeffler, Asier Rabasco Meneghetti +17 more