Daniel Wolf

MedicineBiochemistry, Genetics and Molecular BiologyImmunology and Microbiology

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

1in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Papers

Driven by 3 papers. Top paper: “Embryonic stem cells use ZFP809 to silence retroviral DNAs”.

Embryonic stem cells use ZFP809 to silence retroviral DNAs

Nature(2009)10.1038/nature07844

N/A

11.2DataRank · unranked

398 citations

Stephen P. Goff, Daniel Wolf

Self-supervised pre-training with contrastive and masked autoencoder methods for dealing with small datasets in deep learning for medical imaging

Scientific Reports(2023)10.1038/s41598-023-46433-0

N/A

0DataRank · unranked

53 citations

Tristan Payer, Catharina Silvia Lisson, Christoph Gerhard Lisson, Meinrad Beer, Michael Götz +2 more

Self-Supervised Pre-Training with Contrastive and Masked Autoencoder Methods for Dealing with Small Datasets in Deep Learning for Medical Imaging

arXiv (Cornell University)(2023)10.48550/arxiv.2308.06534

N/A

0DataRank · unranked

2 citations

Tristan Payer, Catharina Silvia Lisson, Christoph Gerhard Lisson, Meinrad Beer, Michael Götz +2 more