Guy Karlebach
Impact in
- Molecular Biology top 10%
- Gene Regulatory Network Analysis
- Bioinformatics and Genomic Networks
- Microbial Metabolic Engineering and Bioproduction
- Gene expression and cancer classification
- Single-cell and spatial transcriptomics
Papers in
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- Gene Regulatory Network Analysis 5
- Bioinformatics and Genomic Networks 3
- RNA modifications and cancer 3
- RNA Research and Splicing 3
- Single-cell and spatial transcriptomics 2
- Genomics and Chromatin Dynamics 2
- Biomedical Text Mining and Ontologies 2
-
- Hemispheric Asymmetry in Neuroscience 3
- Co-authors
- Ron Shamir (3 shared papers)Clyde Francks (3 shared papers)Peter N. Robinson (8 shared papers)Steven Lisgo (2 shared papers)Carolien G. F. de Kovel (2 shared papers)Simon E. Fisher (2 shared papers)Daniel Daniš (3 shared papers)Michael Gargano (2 shared papers)
- Journals
- Journal of Computational Biology (2 papers)Bioinformatics (1 paper)Cortex (1 paper)npj Genomic Medicine (1 paper)Biological Psychiatry (1 paper)
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Guy Karlebach
15 papers receiving 1.1k citations
Guy Karlebach's Hit Papers
Peers
Comparison fields: 5 of 109
- Molecular Biology 857
- Statistical and Nonlinear Physics 90
- Genetics 189
- Cognitive Neuroscience 109
- Biophysics 31
Countries citing papers authored by Guy Karlebach
This map shows the geographic impact of Guy Karlebach'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 Guy Karlebach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy Karlebach more than expected).
Fields of papers citing papers by Guy Karlebach
This network shows the impact of papers produced by Guy Karlebach. 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 Guy Karlebach. The network helps show where Guy Karlebach may publish in the future.
Co-authors
The 25 scholars most cited alongside Guy Karlebach, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Modelling and analysis of gene regulatory networks Hit paper breakdown → | 2008 | 895 |
| 2 | 2020 | 56 | |
| 3 | 2015 | 54 | |
| 4 | 2017 | 41 | |
| 5 | 2012 | 23 | |
| 6 | 2010 | 18 | |
| 7 | 2019 | 12 | |
| 8 | 2022 | 10 | |
| 9 | 2020 | 8 | |
| 10 | 2013 | 7 | |
| 11 | 2024 | 6 | |
| 12 | 2019 | 6 | |
| 13 | 2024 | 4 | |
| 14 | 2023 | 3 | |
| 15 | 2023 | 2 |
About Guy Karlebach
Guy Karlebach is a scholar working on Molecular Biology, Cognitive Neuroscience, Cancer Research, Pediatrics, Perinatology and Child Health and Artificial Intelligence, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (5 papers), Bioinformatics and Genomic Networks (3 papers), Hemispheric Asymmetry in Neuroscience (3 papers), RNA modifications and cancer (3 papers), RNA Research and Splicing (3 papers), Single-cell and spatial transcriptomics (2 papers), Genomics and Chromatin Dynamics (2 papers) and Biomedical Text Mining and Ontologies (2 papers). The work is most often cited by research in Molecular Biology (857 citations), Statistical and Nonlinear Physics (90 citations), Genetics (189 citations), Cognitive Neuroscience (109 citations) and Biophysics (31 citations). Guy Karlebach has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Ron Shamir, Clyde Francks, Peter N. Robinson, Steven Lisgo, Carolien G. F. de Kovel, Simon E. Fisher, Daniel Daniš, Michael Gargano, Melissa Haendel and Xingmin Zhang. Their work appears in journals such as Journal of Computational Biology, Bioinformatics, Cortex, npj Genomic Medicine and Biological Psychiatry.
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.