Arie Budovsky
Impact in
- Aging top 0.1%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 5%
- Telomeres, Telomerase, and Senescence
Papers in
-
- Bioinformatics and Genomic Networks 6
- Aging 18
- Genetics, Aging, and Longevity in Model Organisms 18
- Co-authors
- Vadim E. Fraifeld (29 shared papers)Robi Tăcutu (16 shared papers)João Pedro de Magalhães (7 shared papers)Hagai Yanai (10 shared papers)Gilad Lehmann (4 shared papers)Thomas Craig (3 shared papers)Joana Cósta (2 shared papers)Daniel Thornton (3 shared papers)
- Journals
- Rejuvenation Research (5 papers)Ageing Research Reviews (3 papers)Biogerontology (3 papers)Aging (3 papers)Aging Cell (3 papers)
- Partner nations
- IsraelUnited KingdomUnited States
In The Last Decade
Arie Budovsky
49 papers receiving 2.8k citations
Arie Budovsky's Hit Papers
Peers
Comparison fields: 5 of 136
- Aging 870
- Physiology 579
- Geriatrics and Gerontology 63
- Molecular Biology 1.3k
- Endocrine and Autonomic Systems 113
Countries citing papers authored by Arie Budovsky
This map shows the geographic impact of Arie Budovsky'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 Arie Budovsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arie Budovsky more than expected).
Fields of papers citing papers by Arie Budovsky
This network shows the impact of papers produced by Arie Budovsky. 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 Arie Budovsky. The network helps show where Arie Budovsky may publish in the future.
Co-authors
The 25 scholars most cited alongside Arie Budovsky, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Human Ageing Genomic Resources: new and updated databases Hit paper breakdown → | 2017 | 474 |
| 2 | 2012 | 403 | |
| 3 | 2012 | 262 | |
| 4 | A multidimensional systems biology analysis of cellular senescence in aging and disease Hit paper breakdown → | 2020 | 249 |
| 5 | 2015 | 146 | |
| 6 | 2008 | 137 | |
| 7 | 2015 | 135 | |
| 8 | 2011 | 126 | |
| 9 | 2017 | 116 | |
| 10 | 2011 | 116 | |
| 11 | 2008 | 79 | |
| 12 | 2006 | 73 | |
| 13 | 2013 | 72 | |
| 14 | 2010 | 61 | |
| 15 | 2008 | 43 | |
| 16 | 2012 | 36 | |
| 17 | 2017 | 30 | |
| 18 | 2006 | 23 | |
| 19 | 2010 | 23 | |
| 20 | 2020 | 22 |
About Arie Budovsky
Arie Budovsky is a scholar working on Molecular Biology, Aging, Plant Science, Physiology and Nature and Landscape Conservation, having authored 52 papers that have together received 2.9k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (18 papers), Ecology and Vegetation Dynamics Studies (6 papers), Bioinformatics and Genomic Networks (6 papers), Phytochemistry and Biological Activities (5 papers), Wound Healing and Treatments (5 papers), Essential Oils and Antimicrobial Activity (5 papers), Rangeland and Wildlife Management (4 papers) and Telomeres, Telomerase, and Senescence (4 papers). The work is most often cited by research in Aging (870 citations), Physiology (579 citations), Geriatrics and Gerontology (63 citations), Molecular Biology (1.3k citations) and Endocrine and Autonomic Systems (113 citations). Arie Budovsky has collaborated with scholars based in Israel, United Kingdom and United States. Frequent co-authors include Vadim E. Fraifeld, Robi Tăcutu, João Pedro de Magalhães, Hagai Yanai, Gilad Lehmann, Thomas Craig, Joana Cósta, Daniel Thornton, Shimon Ben‐Shabat and Alexey Moskalev. Their work appears in journals such as Rejuvenation Research, Ageing Research Reviews, Biogerontology, Aging and Aging Cell.
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.