Ionas Erb

3.1k total citations
31 papers, 1.4k citations indexed

About

Ionas Erb is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Ionas Erb has authored 31 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 6 papers in Artificial Intelligence and 5 papers in Genetics. Recurrent topics in Ionas Erb's work include Genomics and Phylogenetic Studies (11 papers), RNA and protein synthesis mechanisms (8 papers) and Geochemistry and Geologic Mapping (5 papers). Ionas Erb is often cited by papers focused on Genomics and Phylogenetic Studies (11 papers), RNA and protein synthesis mechanisms (8 papers) and Geochemistry and Geologic Mapping (5 papers). Ionas Erb collaborates with scholars based in Spain, Switzerland and Australia. Ionas Erb's co-authors include Cédric Notredame, Thomas P. Quinn, Mark F. Richardson, Tamsyn M. Crowley, Erik van Nimwegen, Giovanni Bussotti, Nacho Molina, Mikhail Pachkov, Jose Espinosa‐Carrasco and Cedrik Magis and has published in prestigious journals such as Nucleic Acids Research, Nature Biotechnology and Bioinformatics.

In The Last Decade

Ionas Erb

31 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ionas Erb Spain 19 917 155 143 129 113 31 1.4k
Thomas P. Quinn Australia 19 1.1k 1.3× 91 0.6× 145 1.0× 204 1.6× 41 0.4× 37 1.9k
Aleksandra Tarkowska United Kingdom 8 1.3k 1.5× 104 0.7× 259 1.8× 115 0.9× 80 0.7× 9 2.0k
Tamsyn M. Crowley Australia 23 1.1k 1.1× 182 1.2× 218 1.5× 68 0.5× 149 1.3× 60 2.1k
Sira Sriswasdi Thailand 19 551 0.6× 74 0.5× 103 0.7× 40 0.3× 110 1.0× 67 1.1k
Suvarna Nadendla United States 9 742 0.8× 117 0.8× 79 0.6× 207 1.6× 96 0.8× 20 1.1k
Xingpeng Jiang China 18 776 0.8× 52 0.3× 143 1.0× 239 1.9× 68 0.6× 111 1.3k
Lisa Matthews United States 19 1.7k 1.8× 457 2.9× 103 0.7× 43 0.3× 111 1.0× 47 2.8k
Brad Marshall United States 4 954 1.0× 209 1.3× 64 0.4× 41 0.3× 212 1.9× 4 1.4k
Haokun Liu China 23 282 0.3× 57 0.4× 174 1.2× 293 2.3× 66 0.6× 124 1.7k
Donald L. Evans United States 30 1.1k 1.2× 206 1.3× 219 1.5× 141 1.1× 120 1.1× 126 3.1k

Countries citing papers authored by Ionas Erb

Since Specialization
Citations

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

Fields of papers citing papers by Ionas Erb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ionas Erb

This figure shows the co-authorship network connecting the top 25 collaborators of Ionas Erb. A scholar is included among the top collaborators of Ionas Erb 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 Ionas Erb. Ionas Erb 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.
Erb, Ionas. (2023). Power transformations of relative count data as a shrinkage problem. 6(1). 327–354. 3 indexed citations
2.
Langer, Björn E., et al.. (2022). Highly significant improvement of protein sequence alignments with AlphaFold2. Bioinformatics. 38(22). 5007–5011. 10 indexed citations
3.
Cuypers, Bart, Pieter Meysman, Ionas Erb, et al.. (2022). Four layer multi-omics reveals molecular responses to aneuploidy in Leishmania. PLoS Pathogens. 18(9). e1010848–e1010848. 10 indexed citations
4.
Quinn, Thomas P. & Ionas Erb. (2020). Amalgams: data-driven amalgamation for the dimensionality reduction of compositional data. NAR Genomics and Bioinformatics. 2(4). lqaa076–lqaa076. 15 indexed citations
5.
Quinn, Thomas P., Ionas Erb, Gregory B. Gloor, et al.. (2019). A field guide for the compositional analysis of any-omics data. GigaScience. 8(9). 195 indexed citations
6.
Tommaso, Paolo Di, Cedrik Magis, Ionas Erb, et al.. (2019). Large multiple sequence alignments with a root-to-leaf regressive method. Nature Biotechnology. 37(12). 1466–1470. 20 indexed citations
7.
Parras, Alberto, Elena Rebollo, Ionas Erb, et al.. (2019). Impaired development of neocortical circuits contributes to the neurological alterations in DYRK1A haploinsufficiency syndrome. Neurobiology of Disease. 127. 210–222. 30 indexed citations
8.
Espinosa‐Carrasco, Jose, et al.. (2019). Protocol for Measuring Compulsive-like Feeding Behavior in Mice. BIO-PROTOCOL. 9(14). e3308–e3308. 1 indexed citations
9.
Quinn, Thomas P., Ionas Erb, Mark F. Richardson, & Tamsyn M. Crowley. (2018). Understanding sequencing data as compositions: an outlook and review. Bioinformatics. 34(16). 2870–2878. 209 indexed citations
10.
Espinosa‐Carrasco, Jose, Aurelijus Burokas, Ionas Erb, et al.. (2018). Time‐course and dynamics of obesity‐related behavioral changes induced by energy‐dense foods in mice. Addiction Biology. 23(2). 531–543. 14 indexed citations
11.
Espinosa‐Carrasco, Jose, Ionas Erb, Antonio Hermoso, et al.. (2018). Pergola: Boosting Visualization and Analysis of Longitudinal Data by Unlocking Genomic Analysis Tools. iScience. 9. 244–257. 4 indexed citations
12.
Burokas, Aurelijus, Elena Martín‐García, Jose Espinosa‐Carrasco, et al.. (2017). Extinction and reinstatement of an operant responding maintained by food in different models of obesity. Addiction Biology. 23(2). 544–555. 14 indexed citations
13.
Catuara‐Solarz, Silvina, Jose Espinosa‐Carrasco, Ionas Erb, et al.. (2016). Combined Treatment With Environmental Enrichment and (-)-Epigallocatechin-3-Gallate Ameliorates Learning Deficits and Hippocampal Alterations in a Mouse Model of Down Syndrome. eNeuro. 3(5). ENEURO.0103–16.2016. 75 indexed citations
14.
Chang, Jia‐Ming, Ionas Erb, Ting-Yi Sung, et al.. (2013). Efficient and Interpretable Prediction of Protein Functional Classes by Correspondence Analysis and Compact Set Relations. PLoS ONE. 8(10). e75542–e75542. 6 indexed citations
15.
Magis, Cedrik, Jean-François Taly, Giovanni Bussotti, et al.. (2013). T-Coffee: Tree-Based Consistency Objective Function for Alignment Evaluation. Methods in molecular biology. 1079. 117–129. 50 indexed citations
16.
Bussotti, Giovanni, Emanuele Raineri, Ionas Erb, et al.. (2011). BlastR—fast and accurate database searches for non-coding RNAs. Nucleic Acids Research. 39(16). 6886–6895. 24 indexed citations
17.
Taly, Jean-François, Cedrik Magis, Giovanni Bussotti, et al.. (2011). Using the T-Coffee package to build multiple sequence alignments of protein, RNA, DNA sequences and 3D structures. Nature Protocols. 6(11). 1669–1682. 81 indexed citations
18.
Taddei, Angela, Griet Van Houwe, Shigeki Nagai, et al.. (2009). The functional importance of telomere clustering: Global changes in gene expression result from SIR factor dispersion. Genome Research. 19(4). 611–625. 100 indexed citations
19.
Schlecht, Ulrich, Ionas Erb, Philippe Demougin, et al.. (2008). Genome-wide Expression Profiling, In Vivo DNA Binding Analysis, and Probabilistic Motif Prediction Reveal Novel Abf1 Target Genes during Fermentation, Respiration, and Sporulation in Yeast. Molecular Biology of the Cell. 19(5). 2193–2207. 26 indexed citations
20.
Pachkov, Mikhail, Ionas Erb, Nacho Molina, & Erik van Nimwegen. (2006). SwissRegulon: a database of genome-wide annotations of regulatory sites. Nucleic Acids Research. 35(Database). D127–D131. 102 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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