Yedael Y. Waldman
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks 5
- RNA modifications and cancer 4
- RNA and protein synthesis mechanisms 4
- RNA Research and Splicing 3
- Gene Regulatory Network Analysis 2
- Genomics and Phylogenetic Studies 2
- Genetics top 10%
- Genetic Associations and Epidemiology 2
- Genetic diversity and population structure 2
- Co-authors
- Eytan RuppinTamir TullerMartin KupiecRoded SharanTamar GeigerAlon KeinanBrinton Seashore‐LudlowLivnat Jerby‐Arnon
- Journals
- PLoS ONE (2 papers)Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring (1 paper)Journal of Personalized Medicine (1 paper)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Yedael Y. Waldman
14 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 92
- Molecular Biology 918
- Genetics 221
- Cancer Research 114
- Computational Theory and Mathematics 96
- Oncology 66
Countries citing papers authored by Yedael Y. Waldman
This map shows the geographic impact of Yedael Y. Waldman'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 Yedael Y. Waldman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yedael Y. Waldman more than expected).
Fields of papers citing papers by Yedael Y. Waldman
This network shows the impact of papers produced by Yedael Y. Waldman. 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 Yedael Y. Waldman. The network helps show where Yedael Y. Waldman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yedael Y. Waldman, 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 | 2021 | 9 | |
| 2 | 2021 | 3 | |
| 3 | 2016 | 13 | |
| 4 | 2016 | 9 | |
| 5 | 2014 | 75 | |
| 6 | 2014 | 201 | |
| 7 | 2014 | 103 | |
| 8 | 2013 | 18 | |
| 9 | 2012 | 7 | |
| 10 | 2012 | 113 | |
| 11 | 2011 | 37 | |
| 12 | 2010 | 57 | |
| 13 | 2010 | 416 | |
| 14 | 2009 | 12 |
About Yedael Y. Waldman
Yedael Y. Waldman is a scholar working on Molecular Biology, Genetics, Neurology, Physiology and Rheumatology, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (5 papers), RNA modifications and cancer (4 papers), RNA and protein synthesis mechanisms (4 papers), RNA Research and Splicing (3 papers), Genetic Associations and Epidemiology (2 papers), Gene Regulatory Network Analysis (2 papers), Genetic diversity and population structure (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Molecular Biology (918 citations), Genetics (221 citations), Cancer Research (114 citations), Computational Theory and Mathematics (96 citations) and Oncology (66 citations). Yedael Y. Waldman has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Eytan Ruppin, Tamir Tuller, Martin Kupiec, Roded Sharan, Tamar Geiger, Alon Keinan, Brinton Seashore‐Ludlow, Livnat Jerby‐Arnon, Daniel James and Eyal Gottlieb. Their work appears in journals such as PLoS ONE, Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring, Journal of Personalized Medicine, Proceedings of the National Academy of Sciences and PLoS Computational 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.