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

Tianyuan Liu

Universitat de València

ORCID: 0000-0002-8561-6239

Also affiliated with Institute for Integrative Systems Biology, China Agricultural University

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 1%percentile
5.9Author 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 →

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.

Systematic assessment of long-read RNA-seq methods for transcript identification and quantification

Nature Methods(2024)10.1038/s41592-024-02298-3
Top 8%
2.8DataRank
Top 8%216 citations

Dingjie Wang, Fairlie Reese, Mark Diekhans, Sílvia Carbonell Sala, Brian A. Williams +80 more

Papers

Driven by 7 papers — median percentile 90. Top paper: “Systematic assessment of long-read RNA-seq methods for transcript identification and quantification”.

Systematic assessment of long-read RNA-seq methods for transcript identification and quantification

Nature Methods(2024)10.1038/s41592-024-02298-3
Top 8%
2.8DataRank
Top 8%216 citations

Dingjie Wang, Fairlie Reese, Mark Diekhans, Sílvia Carbonell Sala, Brian A. Williams +80 more

PaintOmics 4: new tools for the integrative analysis of multi-omics datasets supported by multiple pathway databases

Nucleic Acids Research(2022)10.1093/nar/gkac352
Top 10%
2.1DataRank
Top 10%100 citations

Pedro Salguero, Marko Petek, Carlos Martínez-Mira, Leandro Balzano‐Nogueira, Živa Ramšak +5 more

Transcriptomics in the era of long-read sequencing

Nature Reviews Genetics(2025)10.1038/s41576-025-00828-z
N/A
1.0DataRank · unranked
91 citations

Tianyuan Liu, Ana Conesa, Carolina Monzó

Systematic assessment of long-read RNA-seq methods for transcript identification and quantification

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.07.25.550582
Top 20%
0.991DataRank
Top 20%28 citations

Dingjie Wang, Fairlie Reese, Mark Diekhans, Sílvia Carbonell Sala, Brian A. Williams +78 more

SQANTI-SIM: a simulator of controlled transcript novelty for lrRNA-seq benchmark

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.08.23.554392
N/A
0DataRank · unranked
2 citations

Tianyuan Liu, Francisco J. Pardo-Palacios, Ana Conesa, Jorge Mestre‐Tomás

SQANTI3: curation of long-read transcriptomes for accurate identification of known and novel isoforms

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.05.17.541248
N/A
0DataRank · unranked
22 citations

Ángeles Arzalluz-Luque, Liudmyla Kondratova, Pedro Salguero, Jorge Mestre‐Tomás, Rocío Amorín +7 more

SQANTI3: curation of long-read transcriptomes for accurate identification of known and novel isoforms

Nature Methods(2024)10.1038/s41592-024-02229-2
N/A
0DataRank · unranked
188 citations

Ángeles Arzalluz-Luque, Liudmyla Kondratova, Pedro Salguero, Jorge Mestre‐Tomás, Rocío Amorín +7 more