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

Aleksej Zelezniak

Institute of Cancer Research

ORCID: 0000-0002-3098-9441

Also affiliated with Vilnius University, King's College London, The Francis Crick Institute, Chalmers University of Technology

Biochemistry, Genetics and Molecular BiologyChemistry

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

4in 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 4 indexed papers 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 4 papers. Top paper: Deep learning suggests that gene expression is encoded in all parts of a co-evolving interacting gene regulatory structure.

186 citations

Christoph S. Börlin, Filip Buric, Azam Sheikh Muhammad, Rhongzen Chen, Verena Siewers +5 more

4 citations

Filip Buric, Azam Sheikh Muhammad, Rhongzen Chen, Vilhelm Verendel, Mats Töpel +2 more

0 citations

Aleksej Zelezniak, Jan Zrimec

Learning the regulatory grammar of DNA for gene expression engineering

Proceedings of the 11th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics(2020)10.1145/3388440.3414922
N/A
0DataRank · unranked
0 citations

Aleksej Zelezniak, Jan Zrimec