István Csabai

64.3k total citations · 2 hit papers
167 papers, 7.3k citations indexed

About

István Csabai is a scholar working on Astronomy and Astrophysics, Molecular Biology and Instrumentation. According to data from OpenAlex, István Csabai has authored 167 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Astronomy and Astrophysics, 35 papers in Molecular Biology and 24 papers in Instrumentation. Recurrent topics in István Csabai's work include Galaxies: Formation, Evolution, Phenomena (49 papers), Astronomy and Astrophysical Research (24 papers) and Stellar, planetary, and galactic studies (21 papers). István Csabai is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (49 papers), Astronomy and Astrophysical Research (24 papers) and Stellar, planetary, and galactic studies (21 papers). István Csabai collaborates with scholars based in Hungary, United States and Denmark. István Csabai's co-authors include J. Brinkmann, Michael R. Blanton, M. Fukugita, Gábor Vattay, Alexander S. Szalay, Andrew J. Connolly, Donald G. York, David W. Hogg, Donald P. Schneider and W. Voges and has published in prestigious journals such as Cell, Nature Medicine and Nature Communications.

In The Last Decade

István Csabai

157 papers receiving 7.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The size distribution of galaxies in the Sloan Digital Sky Survey

2003 705 citations István Csabai et al. Monthly Notices of the Royal Astronomical Society profile →
The Galaxy Luminosity Function and Luminosity Density at Redshiftz= 0.1

2003 613 citations István Csabai et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
István Csabai Hungary	41	4.5k	2.3k	1.0k	660	581	167	7.3k
Christophe Pichon France	51	7.0k 1.6×	3.2k 1.4×	861 0.8×	404 0.6×	162 0.3×	248	9.8k
Joseph Lehár United States	28	1.4k 0.3×	393 0.2×	2.0k 2.0×	48 0.1×	619 1.1×	66	5.6k
Róbert Brunner Germany	32	1.9k 0.4×	789 0.3×	1.4k 1.4×	294 0.4×	104 0.2×	189	5.7k
C. Barnes United Kingdom	37	1.5k 0.3×	75 0.0×	1.9k 1.8×	114 0.2×	364 0.6×	84	5.0k
Brian Granger United States	17	1.3k 0.3×	392 0.2×	518 0.5×	129 0.2×	21 0.0×	30	3.8k
Chris Lintott United Kingdom	43	5.4k 1.2×	2.8k 1.2×	244 0.2×	1.2k 1.9×	21 0.0×	166	8.4k
Junichiro Makino Japan	43	4.9k 1.1×	1.2k 0.5×	201 0.2×	44 0.1×	44 0.1×	250	6.6k
Alan H. Diercks United States	18	11.4k 2.5×	505 0.2×	405 0.4×	15 0.0×	132 0.2×	33	12.5k
Klaus Schilling Germany	42	253 0.1×	66 0.0×	417 0.4×	106 0.2×	168 0.3×	480	7.6k
Haimin Wang United States	54	8.8k 1.9×	39 0.0×	2.7k 2.6×	63 0.1×	220 0.4×	370	11.5k

Countries citing papers authored by István Csabai

Since Specialization

Citations

This map shows the geographic impact of István Csabai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by István Csabai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites István Csabai more than expected).

Fields of papers citing papers by István Csabai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by István Csabai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by István Csabai. The network helps show where István Csabai may publish in the future.

Co-authorship network of co-authors of István Csabai

This figure shows the co-authorship network connecting the top 25 collaborators of István Csabai. A scholar is included among the top collaborators of István Csabai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with István Csabai. István Csabai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Koopmans, Marion, István Csabai, Daniel Remondini, Emma Snary, & Frank M. Aarestrup. (2025). Artificial intelligence and One Health: potential for spillover prediction?. The Lancet Infectious Diseases. 26(3). 219–220.

Madaras, Lilla, et al.. (2025). Histopathology and proteomics are synergistic for high-grade serous ovarian cancer platinum response prediction. npj Precision Oncology. 9(1). 27–27. 2 indexed citations

Pipek, Orsolya, József Stéger, Krisztián Papp, et al.. (2024). Systematic detection of co-infection and intra-host recombination in more than 2 million global SARS-CoV-2 samples. Nature Communications. 15(1). 517–517. 12 indexed citations

Dosztányi, Zsuzsanna, István Csabai, Orsolya Pipek, et al.. (2024). ViralPrimer: a web server to monitor viral nucleic acid amplification tests’ primer efficiency during pandemics, with emphasis on SARS-CoV-2 and Mpox. Bioinformatics. 40(11).

Kovács, András, et al.. (2024). The cosmic microwave background lensing imprint of cosmic voids detected in the WISE-Pan-STARRS luminous red galaxy catalog. Astronomy and Astrophysics. 689. A171–A171. 1 indexed citations

Csabai, István, et al.. (2023). Impact Evaluation of Score Classes and Annotation Regions in Deep Learning-Based Dairy Cow Body Condition Prediction. Animals. 13(2). 194–194. 6 indexed citations

Csabai, István, et al.. (2023). SARS-CoV-2 receptor-binding domain deep mutational AlphaFold2 structures. Scientific Data. 10(1). 134–134. 6 indexed citations

Pipek, Orsolya, Donát Alpár, Orsolya Rusz, et al.. (2023). Genomic Landscape of Normal and Breast Cancer Tissues in a Hungarian Pilot Cohort. International Journal of Molecular Sciences. 24(10). 8553–8553. 2 indexed citations

Pataki, Bálint, Dezső Ribli, Benedek Gyöngyösi, et al.. (2022). HunCRC: annotated pathological slides to enhance deep learning applications in colorectal cancer screening. Scientific Data. 9(1). 370–370. 18 indexed citations

10.

Kalmár, Alexandra, Barbara Kinga Barták, Zsófia Brigitta Nagy, et al.. (2022). Folic Acid Treatment Directly Influences the Genetic and Epigenetic Regulation along with the Associated Cellular Maintenance Processes of HT-29 and SW480 Colorectal Cancer Cell Lines. Cancers. 14(7). 1820–1820. 7 indexed citations

11.

Dióssy, Miklós, Zsófia Sztupinszki, Viktória Tisza, et al.. (2021). Detection of Molecular Signatures of Homologous Recombination Deficiency in Bladder Cancer. Clinical Cancer Research. 27(13). 3734–3743. 18 indexed citations

12.

Sztupinszki, Zsófia, Miklós Dióssy, Marek Krzystanek, et al.. (2020). Detection of Molecular Signatures of Homologous Recombination Deficiency in Prostate Cancer with or without BRCA1/2 Mutations. Clinical Cancer Research. 26(11). 2673–2680. 56 indexed citations

13.

Galamb, Orsolya, Alexandra Kalmár, Anna Sebestyén, et al.. (2020). Promoter Hypomethylation and Increased Expression of the Long Non-coding RNA LINC00152 Support Colorectal Carcinogenesis. Pathology & Oncology Research. 26(4). 2209–2223. 14 indexed citations

14.

Kalmár, Alexandra, Zsófia Brigitta Nagy, Barbara Kinga Barták, et al.. (2020). S-Adenosylmethionine Treatment of Colorectal Cancer Cell Lines Alters DNA Methylation, DNA Repair and Tumor Progression-Related Gene Expression. Cells. 9(8). 1864–1864. 18 indexed citations

15.

Kovács, András, Robert E. Beck, István Szapudi, et al.. (2020). A common explanation of the Hubble tension and anomalous cold spots in the CMB. Monthly Notices of the Royal Astronomical Society. 499(1). 320–333. 13 indexed citations

16.

Ribli, Dezső, Bálint Pataki, & István Csabai. (2018). Learning from deep learning: better cosmological parameter inference from weak lensing maps. arXiv (Cornell University).

17.

Kondor, Dániel, et al.. (2013). Regional properties of global communication as reflected in aggregated Twitter data. ELTE Digital Institutional Repository (EDIT) (Eötvös Loránd University). 3 indexed citations

18.

Dobos, László, et al.. (2013). A multi-terabyte relational database for geo-tagged social network data. ELTE Digital Institutional Repository (EDIT) (Eötvös Loránd University). 13 indexed citations

19.

Kondor, Dániel, et al.. (2013). Using Robust PCA to estimate regional characteristics of language use from geo-tagged Twitter messages. ELTE Digital Institutional Repository (EDIT) (Eötvös Loránd University). 4 indexed citations

20.

Dobos, László, Tamás Budavári, István Csabai, & Alexander S. Szalay. (2005). New Features in the Spectrum Services for the Virtual Observatory. ASPC. 351. 471. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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