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

Jonathan Parkinson

University of California San Diego

ORCID: 0000-0002-7000-2082
NursingEngineeringMedicineEnvironmental 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 9 papers. Top paper: “Engineering a Histone Reader Protein by Combining Directed Evolution, Sequencing, and Neural Network Based Ordinal Regression”.

Engineering a Histone Reader Protein by Combining Directed Evolution, Sequencing, and Neural Network Based Ordinal Regression

Journal of Chemical Information and Modeling(2020)10.1021/acs.jcim.0c00441
N/A
0DataRank · unranked
15 citations

Ryan Hard, Richard I. Ainsworth, Nan Li, Wei Wang, Jonathan Parkinson

Engineering human JMJD2A tudor domains for an improved understanding of histone peptide recognition

Proteins Structure Function and Bioinformatics(2022)10.1002/prot.26408
N/A
0DataRank · unranked
2 citations

Ryan Hard, Richard I. Ainsworth, Wei Wang, Jonathan Parkinson

Lessons learned in virulence factor identification and data management from a hackathon on microbial virulence

F1000Research(2022)10.12688/f1000research.26452.1
N/A
0DataRank · unranked
1 citations

Ryan Connor, Tamiru Berhanu-Denka, Sherry Bhalla, Vyacheslav Brover, Michael Chambers +18 more

The RESP AI model accelerates the identification of tight-binding antibodies

Nature Communications(2023)10.1038/s41467-023-36028-8
N/A
0DataRank · unranked
49 citations

Ryan Hard, Wei Wang, Jonathan Parkinson

Linear-Scaling Kernels for Protein Sequences and Small Molecules Outperform Deep Learning While Providing Uncertainty Quantitation and Improved Interpretability

Journal of Chemical Information and Modeling(2023)10.1021/acs.jcim.3c00601
N/A
0DataRank · unranked
11 citations

Wei Wang, Jonathan Parkinson

TUnA: an uncertainty-aware transformer model for sequence-based protein–protein interaction prediction

Briefings in Bioinformatics(2024)10.1093/bib/bbae359
N/A
0DataRank · unranked
48 citations

Jonathan Parkinson, Cong Liu, Wei Wang, Young Su Ko

For antibody sequence generative modeling, mixture models may be all you need

Bioinformatics(2024)10.1093/bioinformatics/btae278
N/A
0DataRank · unranked
8 citations

Wei Wang, Jonathan Parkinson

RESP2: An uncertainty aware multi-target multi-property optimization AI pipeline for antibody discovery

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.07.30.605700
N/A
0DataRank · unranked
0 citations

Ryan Hard, Young Su Ko, Wei Wang, Jonathan Parkinson

RESP2: An Uncertainty Aware Multi‐Target Multi‐Property Optimization AI Pipeline for Antibody Discovery

Advanced Science(2025)10.1002/advs.202504350
N/A
0DataRank · unranked
3 citations

Ryan Hard, Young Su Ko, Wei Wang, Jonathan Parkinson