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

Jonathan Fischer

University of Florida

ORCID: 0000-0002-1165-9930

Also affiliated with New York College of Health Professions

Physics and AstronomyChemistryBiochemistry, Genetics and Molecular BiologyEngineering

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
1.0Author DataRank

Indexed papers

2in 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 2 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 →

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.

Robust and annotation-free analysis of alternative splicing across diverse cell types in mice

eLife(2022)10.7554/elife.73520
Top 24%
0.852DataRank
Top 24%23 citations

Jonathan Fischer, Yun S. Song, Gonzalo Benegas

Papers

Driven by 6 papers — median percentile 55. Top paper: “Robust and annotation-free analysis of alternative splicing across diverse cell types in mice”.

Robust and annotation-free analysis of alternative splicing across diverse cell types in mice

eLife(2022)10.7554/elife.73520
Top 24%
0.852DataRank
Top 24%23 citations

Jonathan Fischer, Yun S. Song, Gonzalo Benegas

Robust and annotation-free analysis of alternative splicing across diverse cell types in mice

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.04.27.441683
Top 67%
0.173DataRank
Top 67%1 citations

Jonathan Fischer, Yun S. Song, Gonzalo Benegas

The yeast exoribonuclease Xrn1 and associated factors modulate RNA polymerase II processivity in 5‘ and 3‘ gene regions

Journal of Biological Chemistry(2020)10.1074/jbc.ra120.013426
N/A
0DataRank · unranked
45 citations

Yun S. Song, Nir Yosef, Julia di Iulio, L. Stirling Churchman, Mordechai Choder +1 more

A likelihood-based deconvolution of bulk gene expression data using single-cell references

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.10.01.322867
N/A
0DataRank · unranked
2 citations

Jonathan Fischer, Justin Hong, Yun S. Song, Dan D. Erdmann-Pham

Likelihood-based deconvolution of bulk gene expression data using single-cell references

Genome Research(2021)10.1101/gr.272344.120
N/A
0DataRank · unranked
50 citations

Jonathan Fischer, Justin Hong, Yun S. Song, Dan D. Erdmann-Pham

Robust and adaptive non-parametric tests for detecting general distributional shifts in gene expression

Cell Reports Methods(2025)10.1016/j.crmeth.2025.101147
N/A
0DataRank · unranked
0 citations

Alan J. Aw, Dan D. Erdmann-Pham, Jonathan Fischer, Yun S. Song, Fanding Zhou