Ziv Shkedy
- Molecular Biology
- Epidemiology top 5%
- Infectious Diseases top 5%
- Modeling and Simulation top 0.5%
- Public Health, Environmental and Occupational Health top 5%
- Co-authors
- Marc AertsPierre Van DammePhilippe BeutelsNiel HensGeert MolenberghsAdetayo KasimLuc BijnensWillem Talloen
- Topics
- Gene expression and cancer classification (27 papers)COVID-19 epidemiological studies (15 papers)Bioinformatics and Genomic Networks (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsGastroenterology
- Partner nations
- BelgiumUnited KingdomUnited States
In The Last Decade
Ziv Shkedy
116 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 167
- Molecular Biology 595
- Epidemiology 521
- Infectious Diseases 456
- Modeling and Simulation 392
- Public Health, Environmental and Occupational Health 354
Countries citing papers authored by Ziv Shkedy
This map shows the geographic impact of Ziv Shkedy'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 Ziv Shkedy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ziv Shkedy more than expected).
Fields of papers citing papers by Ziv Shkedy
This network shows the impact of papers produced by Ziv Shkedy. 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 Ziv Shkedy. The network helps show where Ziv Shkedy may publish in the future.
Co-authorship network of co-authors of Ziv Shkedy
This figure shows the co-authorship network connecting the top 25 collaborators of Ziv Shkedy. A scholar is included among the top collaborators of Ziv Shkedy 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 Ziv Shkedy. Ziv Shkedy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 12 | |
| 5 | 59 | |
| 6 | 9 | |
| 7 | 38 | |
| 8 | 4 | |
| 9 | 9 | |
| 10 | Reproduction number, turning point, total number of cases and impact of interventions during dengue outbreak in Playa municipality, La Habana city | 1 |
| 11 | 14 | |
| 12 | Selection and evaluation of gene-specific biomarkers in preclinical and clinical microarray experiments | 2 |
| 13 | 1 | |
| 14 | Multiple contrast test for detecting monotonic dose-response relationship and FDR-adjusted confidence intervals for selected parameters in a microarray Setting | 1 |
| 15 | 12 | |
| 16 | Classification of Trends in Dose-Response Microarray Experiments Using Information Theory Selection Methods | 4 |
| 17 | 9 | |
| 18 | 15 | |
| 19 | 99 | |
| 20 | 118 |
About Ziv Shkedy
Ziv Shkedy is a scholar working on Modeling and Simulation, Statistics and Probability and Virology, having authored 123 papers that have together received 2.3k indexed citations. Recurring topics across this work include Gene expression and cancer classification (27 papers), COVID-19 epidemiological studies (15 papers) and Bioinformatics and Genomic Networks (14 papers). The work is most often cited by research in Modeling and Simulation (392 citations), Infectious Diseases (456 citations) and Gastroenterology (132 citations). Ziv Shkedy has collaborated with scholars based in Belgium, United Kingdom and United States. Frequent co-authors include Marc Aerts, Pierre Van Damme, Philippe Beutels, Niel Hens, Geert Molenberghs, Adetayo Kasim, Luc Bijnens, Willem Talloen, Christel Faes and Hinrich W. H. Göhlmann. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and Gastroenterology.
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.