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

István Prazsák

University of Szeged

ORCID: 0000-0003-3195-503X

Also affiliated with MTA-SZTE Research Group on Artificial Intelligence

Environmental ScienceImmunology and MicrobiologyAgricultural and Biological SciencesMedicine

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.

KSHV 3.0: a state-of-the-art annotation of the Kaposi’s sarcoma-associated herpesvirus transcriptome using cross-platform sequencing

mSystems(2024)10.1128/msystems.01007-23
Top 32%
0.613DataRank
Top 32%19 citations

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

Papers

Driven by 5 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”.

KSHV 3.0: a state-of-the-art annotation of the Kaposi’s sarcoma-associated herpesvirus transcriptome using cross-platform sequencing

mSystems(2024)10.1128/msystems.01007-23
Top 32%
0.613DataRank
Top 32%19 citations

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

Identification of herpesvirus transcripts from genomic regions around the replication origins

Scientific Reports(2023)10.1038/s41598-023-43344-y
N/A
0.505DataRank · unranked
13 citations

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

Long-read assays shed new light on the transcriptome complexity of a viral pathogen

Scientific Reports(2020)10.1038/s41598-020-70794-5
N/A
0.500DataRank · unranked
27 citations

István Prazsák, Zsolt Csabai, Norbert Moldován, Béla Dénes, Michael P. Snyder +2 more

Long-read Assays Shed New Light on the Transcriptome Complexity of a Viral Pathogen and on Virus-Host Interaction

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.01.27.921056
N/A
0DataRank · unranked
0 citations

István Prazsák, Zoltán Maróti, Norbert Moldován, Zsolt Csabai, Zsolt Balázs +5 more

Novel Herpesvirus Transcripts with Putative Regulatory Roles in DNA Replication and Global Transcription

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.03.25.534217
N/A
0DataRank · unranked
0 citations

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