Gergely Csaba

1.5k total citations
35 papers, 950 citations indexed

About

Gergely Csaba is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Gergely Csaba has authored 35 papers receiving a total of 950 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 4 papers in Physiology and 3 papers in Cell Biology. Recurrent topics in Gergely Csaba's work include Bioinformatics and Genomic Networks (9 papers), Genomics and Phylogenetic Studies (6 papers) and Protein Structure and Dynamics (5 papers). Gergely Csaba is often cited by papers focused on Bioinformatics and Genomic Networks (9 papers), Genomics and Phylogenetic Studies (6 papers) and Protein Structure and Dynamics (5 papers). Gergely Csaba collaborates with scholars based in Germany, Australia and Italy. Gergely Csaba's co-authors include Ralf Zimmer, Fabian Birzele, Ludwig Geistlinger, Robert Küffner, Martin Haslbeck, Haroon Naeem, Christian Weber, Caroline C. Friedel, Carlos Silvestre-Roig and Oliver Soehnlein and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Gergely Csaba

33 papers receiving 934 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gergely Csaba Germany 16 701 143 108 105 74 35 950
Laurie K. Jackson United States 17 745 1.1× 75 0.5× 51 0.5× 59 0.6× 101 1.4× 23 981
Tsetska Takova United States 11 720 1.0× 199 1.4× 36 0.3× 89 0.8× 54 0.7× 14 985
María José Lafuente Spain 15 791 1.1× 107 0.7× 37 0.3× 77 0.7× 36 0.5× 31 1.2k
Peiqi Liu China 10 952 1.4× 46 0.3× 157 1.5× 34 0.3× 44 0.6× 28 1.4k
Sandra Lobo United States 13 981 1.4× 69 0.5× 38 0.4× 62 0.6× 67 0.9× 17 1.3k
Monica Marra Italy 17 644 0.9× 167 1.2× 18 0.2× 116 1.1× 18 0.2× 25 1.1k
Hyun‐Woo Suh South Korea 13 594 0.8× 142 1.0× 38 0.4× 169 1.6× 11 0.1× 21 888
Hubert Krotkiewski Poland 17 531 0.8× 51 0.4× 57 0.5× 206 2.0× 26 0.4× 47 785
Paul S. Kayne United States 18 2.0k 2.8× 142 1.0× 23 0.2× 140 1.3× 58 0.8× 26 2.3k
Dorothy E. Schumm United States 19 650 0.9× 69 0.5× 50 0.5× 40 0.4× 33 0.4× 47 813

Countries citing papers authored by Gergely Csaba

Since Specialization
Citations

This map shows the geographic impact of Gergely Csaba'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 Gergely Csaba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gergely Csaba more than expected).

Fields of papers citing papers by Gergely Csaba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gergely Csaba. 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 Gergely Csaba. The network helps show where Gergely Csaba may publish in the future.

Co-authorship network of co-authors of Gergely Csaba

This figure shows the co-authorship network connecting the top 25 collaborators of Gergely Csaba. A scholar is included among the top collaborators of Gergely Csaba 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 Gergely Csaba. Gergely Csaba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wallmann, Georg, Gergely Csaba, Helmut Blum, et al.. (2024). Deletion of the transcription factors Hsf1, Msn2 and Msn4 in yeast uncovers transcriptional reprogramming in response to proteotoxic stress. FEBS Letters. 598(6). 635–657. 4 indexed citations
2.
Geistlinger, Ludwig, Gergely Csaba, Marcel Ramos, et al.. (2019). Toward a gold standard for benchmarking gene set enrichment analysis. Briefings in Bioinformatics. 22(1). 545–556. 77 indexed citations
3.
Csaba, Gergely, Elena Kunold, Nina C. Bach, et al.. (2019). The Heat Shock Response in Yeast Maintains Protein Homeostasis by Chaperoning and Replenishing Proteins. Cell Reports. 29(13). 4593–4607.e8. 78 indexed citations
4.
Ammar, Constantin, Markus Gruber, Gergely Csaba, & Ralf Zimmer. (2019). MS-EmpiRe Utilizes Peptide-level Noise Distributions for Ultra-sensitive Detection of Differentially Expressed Proteins. Molecular & Cellular Proteomics. 18(9). 1880–1892. 21 indexed citations
5.
Sedlář, Karel, Jan Kolek, Markus Gruber, et al.. (2019). A transcriptional response of Clostridium beijerinckii NRRL B-598 to a butanol shock. Biotechnology for Biofuels. 12(1). 243–243. 19 indexed citations
6.
Ammar, Constantin, et al.. (2019). Multi-Reference Spectral Library Yields Almost Complete Coverage of Heterogeneous LC-MS/MS Data Sets. Journal of Proteome Research. 18(4). 1553–1566. 3 indexed citations
7.
Natarelli, Lucia, Claudia Geißler, Gergely Csaba, et al.. (2018). miR-103 promotes endothelial maladaptation by targeting lncWDR59. Nature Communications. 9(1). 2645–2645. 55 indexed citations
8.
Viola, Joana R., Patricia Lemnitzer, Yvonne Jansen, et al.. (2016). Resolving Lipid Mediators Maresin 1 and Resolvin D2 Prevent Atheroprogression in Mice. Circulation Research. 119(9). 1030–1038. 188 indexed citations
9.
Geistlinger, Ludwig, Gergely Csaba, & Ralf Zimmer. (2016). Bioconductor’s EnrichmentBrowser: seamless navigation through combined results of set- & network-based enrichment analysis. BMC Bioinformatics. 17(1). 45–45. 50 indexed citations
10.
Csaba, Gergely, et al.. (2016). Evaluating Transcription Factor Activity Changes by Scoring Unexplained Target Genes in Expression Data. PLoS ONE. 11(10). e0164513–e0164513. 4 indexed citations
11.
Csaba, Gergely, et al.. (2015). Alternative Splicing in Next Generation Sequencing Data of Saccharomyces cerevisiae. PLoS ONE. 10(10). e0140487–e0140487. 28 indexed citations
12.
Bonfert, Thomas, et al.. (2015). ContextMap 2: fast and accurate context-based RNA-seq mapping. BMC Bioinformatics. 16(1). 122–122. 39 indexed citations
13.
Bonfert, Thomas, Gergely Csaba, Ralf Zimmer, & Caroline C. Friedel. (2013). Mining RNA–Seq Data for Infections and Contaminations. PLoS ONE. 8(9). e73071–e73071. 11 indexed citations
14.
Geistlinger, Ludwig, et al.. (2013). A comprehensive gene regulatory network for the diauxic shift in Saccharomyces cerevisiae. Nucleic Acids Research. 41(18). 8452–8463. 15 indexed citations
15.
Geistlinger, Ludwig, Gergely Csaba, Robert Küffner, Nicola Mulder, & Ralf Zimmer. (2011). From sets to graphs: towards a realistic enrichment analysis of transcriptomic systems. Bioinformatics. 27(13). i366–i373. 50 indexed citations
16.
Csaba, Gergely, Fabian Birzele, & Ralf Zimmer. (2009). Systematic comparison of SCOP and CATH: a new gold standard for protein structure analysis. BMC Structural Biology. 9(1). 23–23. 50 indexed citations
17.
Csaba, Gergely, Fabian Birzele, & Ralf Zimmer. (2008). Protein structure alignment considering phenotypic plasticity. Bioinformatics. 24(16). i98–i104. 31 indexed citations
18.
Birzele, Fabian, Jan E. Gewehr, Gergely Csaba, & Ralf Zimmer. (2007). Vorolign—fast structural alignment using Voronoi contacts. Bioinformatics. 23(2). e205–e211. 43 indexed citations
19.
Birzele, Fabian, Gergely Csaba, & Ralf Zimmer. (2007). Alternative splicing and protein structure evolution. Nucleic Acids Research. 36(2). 550–558. 87 indexed citations
20.
Csaba, Gergely. (1967). Attempts to induce antitumour immunity with living attenuated cells.. PubMed. 14(2). 167–75. 3 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Laurie K. Jackson Breakdown of academic impact, for papers by Tsetska Takova Breakdown of academic impact, for papers by María José Lafuente Breakdown of academic impact, for papers by Peiqi Liu Breakdown of academic impact, for papers by Sandra Lobo Breakdown of academic impact, for papers by Monica Marra Breakdown of academic impact, for papers by Hyun‐Woo Suh Breakdown of academic impact, for papers by Hubert Krotkiewski Breakdown of academic impact, for papers by Paul S. Kayne Breakdown of academic impact, for papers by Dorothy E. Schumm
Rankless by CCL
2026