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

Kayla A Johnson

University of Colorado Anschutz Medical Campus

ORCID: 0000-0002-0889-5705
Biochemistry, Genetics and Molecular BiologyMedicine

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 6%percentile
0.225Author 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.

Human pan-body age- and sex-specific molecular phenomena inferred from public transcriptome data using machine learning

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.01.12.523796
Top 62%
0.225DataRank
Top 62%3 citations

Krishnan, Arjun, Kayla A Johnson

Papers

Driven by 9 papers — median percentile 38. Top paper: “Human pan-body age- and sex-specific molecular phenomena inferred from public transcriptome data using machine learning”.

Human pan-body age- and sex-specific molecular phenomena inferred from public transcriptome data using machine learning

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.01.12.523796
Top 62%
0.225DataRank
Top 62%3 citations

Krishnan, Arjun, Kayla A Johnson

Robust normalization and transformation techniques for constructing gene coexpression networks from RNA-seq data

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.09.22.308577
N/A
0DataRank · unranked
0 citations

Krishnan, Arjun, Kayla A Johnson

Robust normalization and transformation techniques for constructing gene coexpression networks from RNA-seq data

Genome biology(2022)10.1186/s13059-021-02568-9
N/A
0DataRank · unranked
112 citations

Krishnan, Arjun, Kayla A Johnson

Joint representation of molecular networks from multiple species improves gene classification

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.05.02.539152
N/A
0DataRank · unranked
0 citations

Kayla A Johnson, Renming Liu, Krishnan, Arjun, Christopher A Mancuso

Joint representation of molecular networks from multiple species improves gene classification

PLoS Computational Biology(2024)10.1371/journal.pcbi.1011773
N/A
0DataRank · unranked
8 citations

Kayla A Johnson, Renming Liu, Krishnan, Arjun, Christopher A Mancuso

Computational strategies for cross-species knowledge transfer

PubMed(2024)10.48550/arxiv.2408.08503
N/A
0DataRank · unranked
2 citations

Christopher A Mancuso, Kayla A Johnson, Ingo Braasch, Krishnan, Arjun, Hao Yuan

Computational strategies for cross-species knowledge transfer

Nature Methods(2025)10.1038/s41592-025-02931-9
N/A
0DataRank · unranked
4 citations

Christopher A Mancuso, Kayla A Johnson, Ingo Braasch, Krishnan, Arjun, Hao Yuan

Supervised learning is an accurate method for network-based gene classification

Bioinformatics(2020)10.1093/bioinformatics/btaa150
N/A
0DataRank · unranked
40 citations

Christopher A Mancuso, Anna Yannakopoulos, Kayla A Johnson, Krishnan, Arjun, Renming Liu

Generative genomics accurately predicts future experimental results

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.09.08.674753
N/A
0DataRank · unranked
0 citations

Alice M. Walsh, Vaishali Marar, Kayla A Johnson, Max Highsmith, Alexander R. Abbas +12 more