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

Gábor Gulyás

University of Szeged

ORCID: 0000-0002-7465-7932

Also affiliated with MTA-SZTE Research Group on Artificial Intelligence

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 4%percentile
0.613Author 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.

Top 32%19 citations

Dóra Tombácz, Ádám Fülöp, Gábor Torma, Gábor Gulyás, Ákos Dörmő +5 more

Papers

Driven by 4 papers — median percentile 68. Top paper: KSHV 3.0: a state-of-the-art annotation of the Kaposi’s sarcoma-associated herpesvirus transcriptome using cross-platform sequencing.

Top 32%19 citations

Dóra Tombácz, Ádám Fülöp, Gábor Torma, Gábor Gulyás, Ákos Dörmő +5 more

13 citations

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

7 citations

Nenavath Gopal Naik, Dóra Tombácz, Gábor Gulyás, Balázs Kakuk, Zsolt Boldogkői +5 more

0 citations

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