Ferenc Kovács

Also affiliated with Institute of Biophysics

MedicineBiochemistry, Genetics and Molecular BiologyComputer Science

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 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 6 papers. Top paper: “Deep Visual Proteomics defines single-cell identity and heterogeneity”.

Deep Visual Proteomics defines single-cell identity and heterogeneity

Nature Biotechnology(2022)10.1038/s41587-022-01302-5

N/A

10.4DataRank · unranked

555 citations

Fabian Coscia, András Kriston, Réka Hollandi, Ferenc Kovács, Andreas-David Brunner +16 more

Probe set selection for targeted spatial transcriptomics

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.08.16.504115

N/A

0.890DataRank · unranked

24 citations

Malte D. Luecken, Alexandra B. Firsova, Lisa Barros de Andrade e Sousa, Lena Straßer, Lukas Heumos +14 more

Spatial single-cell atlas reveals regional variations in healthy and diseased human lung

Nature Communications(2025)10.1038/s41467-025-65704-0

N/A

0.345DataRank · unranked

9 citations

Sergio Marco Salas, Louis Benedikt Kuemmerle, Xesús M. Abalo, Alexandros Sountoulidis, Ludvig Larsson +24 more

Multiplexed Deep Visual Proteomics Unveils Spatial Heterogeneity and Rare Endocrine States in Human Adult Pancreatic Islets

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.04.27.650857

N/A

0.241DataRank · unranked

4 citations

Nicolai Dorka, Marvin Thielert, Frida Björklund, Frederic Ballllosera Navarro, Anna Martinez Casals +7 more

A topographic lung cell atlas reveals regional variation in cell-type specific gene programs and identifies healthy and diseased cellular neighborhoods

Research Square(2024)10.21203/rs.3.rs-5046381/v1

N/A

0DataRank · unranked

0 citations

Sergio Marco Salas, Louis Kümmerle, Ludvig Larsson, Krishnaa T. Mahbubani, Alexandros Sountoulidis +25 more

nucleAIzer: A Parameter-free Deep Learning Framework for Nucleus Segmentation Using Image Style Transfer

Cell Systems(2020)10.1016/j.cels.2020.04.003

N/A

0DataRank · unranked

280 citations

Ábel Szkalisity, Tímea Tóth, Ervin Tasnádi, Csaba Molnár, Botond Mathe +20 more