István Ladunga

2.5k total citations
30 papers, 1.7k citations indexed

About

István Ladunga is a scholar working on Molecular Biology, Plant Science and Cellular and Molecular Neuroscience. According to data from OpenAlex, István Ladunga has authored 30 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 4 papers in Plant Science and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in István Ladunga's work include RNA and protein synthesis mechanisms (13 papers), Genomics and Phylogenetic Studies (11 papers) and Machine Learning in Bioinformatics (8 papers). István Ladunga is often cited by papers focused on RNA and protein synthesis mechanisms (13 papers), Genomics and Phylogenetic Studies (11 papers) and Machine Learning in Bioinformatics (8 papers). István Ladunga collaborates with scholars based in United States, Hungary and Australia. István Ladunga's co-authors include Samuel Karlin, B. Edwin Blaisdell, David Casero, Yuannan Xia, Zoya Avramova, Donald P. Weeks, Stephen D. Kachman, Tao Liu, Peng Liu and Martin H. Spalding and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Bioinformatics.

In The Last Decade

István Ladunga

30 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
István Ladunga United States 18 1.2k 440 198 189 136 30 1.7k
Felix Willmund Germany 20 1.2k 1.0× 226 0.5× 148 0.7× 88 0.5× 60 0.4× 30 1.3k
Attila Glatz Hungary 15 1.2k 0.9× 300 0.7× 110 0.6× 72 0.4× 57 0.4× 18 1.5k
Yutaka Kodama Japan 24 1.7k 1.4× 1.2k 2.7× 91 0.5× 68 0.4× 103 0.8× 99 2.3k
Clark J. Nelson Australia 20 1.4k 1.1× 575 1.3× 51 0.3× 91 0.5× 24 0.2× 23 1.9k
Bernard Jacq France 15 1.6k 1.3× 384 0.9× 20 0.1× 235 1.2× 127 0.9× 22 2.1k
Frank E. Nargang Canada 34 3.1k 2.5× 367 0.8× 71 0.4× 290 1.5× 180 1.3× 80 3.5k
Hildur V. Colot United States 21 1.8k 1.5× 1.1k 2.6× 40 0.2× 227 1.2× 372 2.7× 26 2.7k
Nizar Drou United Arab Emirates 17 499 0.4× 262 0.6× 37 0.2× 171 0.9× 21 0.2× 28 972
Alejandro Araya France 25 1.3k 1.0× 526 1.2× 84 0.4× 68 0.4× 74 0.5× 58 1.5k
Susan K. Crosthwaite United Kingdom 16 670 0.5× 1.1k 2.4× 55 0.3× 51 0.3× 315 2.3× 27 1.7k

Countries citing papers authored by István Ladunga

Since Specialization
Citations

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

Fields of papers citing papers by István Ladunga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of István Ladunga

This figure shows the co-authorship network connecting the top 25 collaborators of István Ladunga. A scholar is included among the top collaborators of István Ladunga 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 Ladunga. István Ladunga 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.
Ladunga, István. (2018). Installing, Maintaining, and Using a Local Copy of BLAST for Compute Cluster or Workstation Use. Current Protocols in Bioinformatics. 63(1). e54–e54. 5 indexed citations
2.
Ladunga, István. (2017). Finding Similar Nucleotide Sequences Using Network BLAST Searches. Current Protocols in Bioinformatics. 58(1). 15 indexed citations
3.
Shu, Jiang, et al.. (2016). Pluralistic and stochastic gene regulation: examples, models and consistent theory. Nucleic Acids Research. 44(10). 4595–4609. 2 indexed citations
4.
Wei, Fang, Yaqing Si, Stephen M. Douglass, et al.. (2012). Transcriptome-Wide Changes in Chlamydomonas reinhardtii Gene Expression Regulated by Carbon Dioxide and the CO2-Concentrating Mechanism Regulator CIA5/CCM1. The Plant Cell. 24(5). 1876–1893. 154 indexed citations
5.
Ruscher, Karsten, Mehrdad Shamloo, Mattias Rickhag, et al.. (2011). The sigma-1 receptor enhances brain plasticity and functional recovery after experimental stroke. Brain. 134(3). 732–746. 145 indexed citations
6.
Ladunga, István. (2010). Computational Biology of Transcription Factor Binding. Methods in molecular biology. 31 indexed citations
7.
Yang, Jingyi, Yang Liu, Sridhar A. Malkaram, et al.. (2010). Weakly Positioned Nucleosomes Enhance the Transcriptional Competency of Chromatin. PLoS ONE. 5(9). e12984–e12984. 6 indexed citations
8.
Jiao, Shuo, Cheryl Bailey, Shunpu Zhang, & István Ladunga. (2010). Probabilistic Peak Calling and Controlling False Discovery Rate Estimations in Transcription Factor Binding Site Mapping from ChIP-seq. Methods in molecular biology. 674. 161–177. 3 indexed citations
9.
Ladunga, István. (2010). An Overview of the Computational Analyses and Discovery of Transcription Factor Binding Sites. Methods in molecular biology. 674. 1–22. 13 indexed citations
10.
Dijk, Karin van, Yong Ding, Sridhar A. Malkaram, et al.. (2010). Dynamic changes in genome-wide histone H3 lysine 4 methylation patterns in response to dehydration stress in Arabidopsis thaliana. BMC Plant Biology. 10(1). 238–238. 166 indexed citations
11.
Kachman, Stephen D., et al.. (2009). Transcriptional profiling of the sperm storage organs of Drosophila melanogaster. Insect Molecular Biology. 18(4). 465–475. 66 indexed citations
12.
Ladunga, István. (2009). Finding Similar Nucleotide Sequences Using Network BLAST Searches. Current Protocols in Bioinformatics. 26(1). 3.3.1–3.3.25. 21 indexed citations
13.
Wang, Ying, et al.. (2008). The Small Ubiquitin-Like Modifier (SUMO) and SUMO-Conjugating System ofChlamydomonas reinhardtii. Genetics. 179(1). 177–192. 29 indexed citations
14.
Ladunga, István. (2006). More complete gene silencing by fewer siRNAs: transparent optimized design and biophysical signature. Nucleic Acids Research. 35(2). 433–440. 53 indexed citations
15.
Ladunga, István. (2000). Large-scale predictions of secretory proteins from mammalian genomic and EST sequences. Current Opinion in Biotechnology. 11(1). 13–18. 29 indexed citations
16.
Ladunga, István & Randall F. Smith. (1997). Amino acid substitutions preserve protein folding by conserving steric and hydrophobicity properties. Protein Engineering Design and Selection. 10(3). 187–196. 20 indexed citations
17.
Ladunga, István, Brent A. Wiese, & Randall F. Smith. (1996). FASTA-SWAP and FASTA-PAT: Pattern Database Searches Using Combinations of Aligned Amino Acids, and a Novel Scoring Theory. Journal of Molecular Biology. 259(4). 840–854. 10 indexed citations
18.
Karlin, Samuel & István Ladunga. (1994). Comparisons of eukaryotic genomic sequences.. Proceedings of the National Academy of Sciences. 91(26). 12832–12836. 133 indexed citations
19.
Ladunga, István. (1992). Phylogenetic continuum indicates “Galaxies” in the protein universe: Preliminary results on the natural group structures of proteins. Journal of Molecular Evolution. 34(4). 358–375. 13 indexed citations
20.
Ladunga, István, et al.. (1991). Improving signal peptide prediction accuracy by simulated neural network. Computer applications in the biosciences. 7(4). 485–487. 34 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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