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

Máté Mizik

University of Szeged

ORCID: 0000-0001-6911-5103
MedicineBiochemistry, 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 6%percentile
0.321Author 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.

Top 53%4 citations

Ákos Dörmő, Ádám Fülöp, Dóra Tombácz, Máté Mizik, Amanda M. Pretory +4 more

Papers

Driven by 4 papers — median percentile 24. Top paper: Long-read transcriptomics of caviid gammaherpesvirus 1: compiling a comprehensive RNA atlas.

Top 53%4 citations

Ákos Dörmő, Ádám Fülöp, Dóra Tombácz, Máté Mizik, Amanda M. Pretory +4 more

13 citations

Dóra Tombácz, Zsolt Csabai, Islam A. A. Almsarrhad, Gergely Ármin Nagy, Balázs Kakuk +14 more

0 citations

Dóra Tombácz, Islam A. A. Almsarrhad, Zsolt Csabai, Gergely Ármin Nagy, Balázs Kakuk +13 more

Top 100%0 citations

Ákos Dörmő, Ádám Fülöp, Dóra Tombácz, Máté Mizik, Amanda M. Pretory +4 more