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

Daniel Paysan

Paul Scherrer Institute

ORCID: 0000-0003-4995-7527

Also affiliated with ETH Zurich

MedicineComputer 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 4 papers. Top paper: “Unsupervised representation learning of chromatin images identifies changes in cell state and tissue organization in DCIS”.

Unsupervised representation learning of chromatin images identifies changes in cell state and tissue organization in DCIS

Nature Communications(2024)10.1038/s41467-024-50285-1

N/A

0.566DataRank · unranked

13 citations

Saradha Venkatachalapathy, Daniel Paysan, Paulina Schaerer, Claudio Tripodo, Caroline Uhler +2 more

Aggressive B cell lymphomas retain ATR-dependent determinants of T cell exclusion from the germinal center dark zone

Journal of Clinical Investigation(2025)10.1172/jci187371

N/A

0.165DataRank · unranked

2 citations

Giorgio Bertolazzi, Allison Chan, Giovanni Medico, Giulia Bastianello, Gaia Morello +44 more

Germinal Center Dark Zone harbors ATR-dependent determinants of T-cell exclusion that are also identified in aggressive lymphoma

Research Square(2024)10.21203/rs.3.rs-4093618/v1

N/A

0.104DataRank · unranked

1 citations

Valeria Cancila, Gaia Morello, Giorgio Bertolazzi, Allison Chan, Giulia Bastianello +30 more

Image2Reg: Linking chromatin images to gene regulation using genetic and chemical perturbation screens

Cell Systems(2025)10.1016/j.cels.2025.101293

N/A

0DataRank · unranked

0 citations

Adityanarayanan Radhakrishnan, Xinyi Zhang, G V Shivashankar, Caroline Uhler, Daniel Paysan