Csaba Ortutay
Impact in
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- Enzyme function and inhibition
- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
Papers in
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- Enzyme function and inhibition 6
- RNA and protein synthesis mechanisms 6
- Genomics and Phylogenetic Studies 5
- Machine Learning in Bioinformatics 5
- Bioinformatics and Genomic Networks 5
- Ion channel regulation and function 4
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- interferon and immune responses 4
- Immunodeficiency and Autoimmune Disorders 3
- Co-authors
- Mauno Vihinen (16 shared papers)Seppo Parkkila (7 shared papers)Martti Tolvanen (7 shared papers)Ashok Aspatwar (6 shared papers)Jouni Väliaho (2 shared papers)Zoltán Gáspári (4 shared papers)Smith Rjh (2 shared papers)Tibor Vellai (5 shared papers)
In The Last Decade
Csaba Ortutay
35 papers receiving 692 citations
Peers
Comparison fields: 5 of 98
- Aging 18
- Molecular Biology 502
- Immunology 147
- Genetics 102
- Genetics 38
Countries citing papers authored by Csaba Ortutay
This map shows the geographic impact of Csaba Ortutay'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 Csaba Ortutay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Csaba Ortutay more than expected).
Fields of papers citing papers by Csaba Ortutay
This network shows the impact of papers produced by Csaba Ortutay. 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 Csaba Ortutay. The network helps show where Csaba Ortutay may publish in the future.
Co-authors
The 25 scholars most cited alongside Csaba Ortutay, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 71 | |
| 2 | 2013 | 57 | |
| 3 | 2005 | 53 | |
| 4 | 2006 | 45 | |
| 5 | 2010 | 40 | |
| 6 | 2015 | 37 | |
| 7 | 2012 | 33 | |
| 8 | 2014 | 29 | |
| 9 | 2007 | 29 | |
| 10 | 2009 | 28 | |
| 11 | 2008 | 24 | |
| 12 | 2007 | 23 | |
| 13 | 2018 | 22 | |
| 14 | 2003 | 20 | |
| 15 | 2004 | 16 | |
| 16 | 2018 | 16 | |
| 17 | 2009 | 15 | |
| 18 | 2008 | 15 | |
| 19 | 2015 | 14 | |
| 20 | 2007 | 13 |
About Csaba Ortutay
Csaba Ortutay is a scholar working on Molecular Biology, Immunology, Genetics, Pharmacology and Cell Biology, having authored 35 papers that have together received 703 indexed citations. Recurring topics across this work include Enzyme function and inhibition (6 papers), RNA and protein synthesis mechanisms (6 papers), Genomics and Phylogenetic Studies (5 papers), Machine Learning in Bioinformatics (5 papers), Bioinformatics and Genomic Networks (5 papers), interferon and immune responses (4 papers), Ion channel regulation and function (4 papers) and Immunodeficiency and Autoimmune Disorders (3 papers). The work is most often cited by research in Aging (18 citations), Molecular Biology (502 citations), Immunology (147 citations), Genetics (102 citations) and Genetics (38 citations). Csaba Ortutay has collaborated with scholars based in Finland, Hungary and Sweden. Frequent co-authors include Mauno Vihinen, Seppo Parkkila, Martti Tolvanen, Ashok Aspatwar, Jouni Väliaho, Zoltán Gáspári, Smith Rjh, Tibor Vellai, Gábor Tóth and Harlan Barker. Their work appears in journals such as Human Mutation, Journal of Molecular Evolution, Molecular Genetics and Genomics, Scientific Reports and Journal of Leukocyte Biology.
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.