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

Daniel J. Diaz

Machine Science

ORCID: 0000-0002-7891-2128

Also affiliated with Intelligent Health (United Kingdom), The University of Texas at Austin

Biochemistry, 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 3%percentile
1.1Author 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 →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

GroovDB: A Database of Ligand-Inducible Transcription Factors

ACS Synthetic Biology(2022)10.1021/acssynbio.2c00382
Top 19%
1.1DataRank
Top 19%28 citations

Joshua D. Love, Daniel J. Diaz, Andrew D. Ellington, Simon d’Oelsnitz

Papers

Driven by 8 papers — median percentile 81. Top paper: “GroovDB: A Database of Ligand-Inducible Transcription Factors”.

GroovDB: A Database of Ligand-Inducible Transcription Factors

ACS Synthetic Biology(2022)10.1021/acssynbio.2c00382
Top 19%
1.1DataRank
Top 19%28 citations

Joshua D. Love, Daniel J. Diaz, Andrew D. Ellington, Simon d’Oelsnitz

Learning the local landscape of protein structures with convolutional neural networks

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.08.19.456994
N/A
0DataRank · unranked
0 citations

Daniel J. Diaz, James M. Loy, Andrew D. Ellington, Claus O. Wilke, Anastasiya V. Kulikova

Using machine learning to predict the effects and consequences of mutations in proteins

Current Opinion in Structural Biology(2023)10.1016/j.sbi.2022.102518
N/A
0DataRank · unranked
57 citations

Anastasiya V. Kulikova, Andrew D. Ellington, Claus O. Wilke, Daniel J. Diaz

Two sequence- and two structure-based ML models have learned different aspects of protein biochemistry

Scientific Reports(2023)10.1038/s41598-023-40247-w
N/A
0DataRank · unranked
13 citations

Daniel J. Diaz, Tianlong Chen, T. Jeffrey Cole, Andrew D. Ellington, Claus O. Wilke +1 more

Two sequence- and two structure-based ML models have learned different aspects of protein biochemistry

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.03.20.533508
N/A
0DataRank · unranked
4 citations

Daniel J. Diaz, Tianlong Chen, T. Jeffrey Cole, Andrew D. Ellington, Claus O. Wilke +1 more

Biosensor and machine learning-aided engineering of an amaryllidaceae enzyme

Nature Communications(2024)10.1038/s41467-024-46356-y
N/A
0DataRank · unranked
50 citations

Daniel J. Diaz, Wantae Kim, Daniel J. Acosta, Tyler L. Dangerfield, Mason W. Schechter +8 more

Improved Bst DNA Polymerase Variants Derived via a Machine Learning Approach

Biochemistry(2021)10.1021/acs.biochem.1c00451
N/A
0DataRank · unranked
57 citations

Phuoc H. T. Ngo, Raghav Shroff, Daniel J. Diaz, Andre C. Maranhao, David J. F. Walker +3 more

Asymmetric Synthesis of α-Chloroamides via Photoenzymatic Hydroalkylation of Olefins

Journal of the American Chemical Society(2024)10.1021/jacs.4c00927
N/A
0DataRank · unranked
40 citations

Sophie G. Bender, Damien Sorigue, Daniel J. Diaz, Andrew D. Ellington, Greg Mann +3 more