István Ladunga

2.6k citations
30 papers · 1.8k · h-index 18

Impact in

Papers in

    • RNA and protein synthesis mechanisms 12
    • Genomics and Phylogenetic Studies 11
    • Machine Learning in Bioinformatics 8
    • Genomics and Chromatin Dynamics 6
    • Photosynthetic Processes and Mechanisms 3
    • Bioinformatics and Genomic Networks 3
    • RNA modifications and cancer 3
    • Chromosomal and Genetic Variations 3

István Ladunga

30 papers receiving 1.7k citations

Peers

István Ladunga
Comparison fields: 5 of 100
  • Molecular Biology 1.2k
  • Renewable Energy, Sustainability and the Environment 210
  • Plant Science 460
  • Biological Psychiatry 21
  • Cellular and Molecular Neuroscience 128
Replace Frank E. Nargang with:
Frank E. Nargang Canada
Yutaka Kodama Japan
Felix Willmund Germany
Todd Harris United States
Nizar Drou United Arab Emirates
Thomas Winckler Germany
Attila Glatz Hungary
Haruko Okamoto Japan
Hiroyoshi Takano Japan
Neeru Gandotra United States
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside István Ladunga, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with István Ladunga Line = papers co-authored together István Ladunga links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010189
2 2008179
3 2013168
4 2012167
5 2011149
6 1994138
7 1994136
8 2012111
9 201177
10 200969
11 200657
12 199135
13 201033
14 200031
15 200830
16 199923
17 200922
18 199722
19 200917
20 201016

About István Ladunga

István Ladunga is a scholar working on Molecular Biology, Plant Science, Cellular and Molecular Neuroscience, Epidemiology and Genetics, having authored 30 papers that have together received 1.8k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (12 papers), Genomics and Phylogenetic Studies (11 papers), Machine Learning in Bioinformatics (8 papers), Genomics and Chromatin Dynamics (6 papers), Photosynthetic Processes and Mechanisms (3 papers), Chromosomal and Genetic Variations (3 papers), Bioinformatics and Genomic Networks (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Renewable Energy, Sustainability and the Environment (210 citations), Plant Science (460 citations), Biological Psychiatry (21 citations) and Cellular and Molecular Neuroscience (128 citations). István Ladunga has collaborated with scholars based in United States, Hungary and Australia. Frequent co-authors include Samuel Karlin, B. Edwin Blaisdell, David Casero, Zoya Avramova, Yuannan Xia, Donald P. Weeks, Yaqing Si, Pedro Madrigal, Timothy L. Bailey and Matteo Pellegrini. Their work appears in journals such as Current Protocols in Bioinformatics, The Plant Cell, Proceedings of the National Academy of Sciences, Nucleic Acids Research and Bioinformatics.

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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