Hagai Yanai
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms 6
- Physiology top 10%
- Telomeres, Telomerase, and Senescence 6
- Geriatrics and Gerontology top 10%
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- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 4
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- Single-cell and spatial transcriptomics 4
- Epigenetics and DNA Methylation 3
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- Wound Healing and Treatments 4
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- Skin Protection and Aging 4
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- Acute Myeloid Leukemia Research 2
- Co-authors
- Vadim E. FraifeldArie BudovskyRobi TăcutuMikhail ShaposhnikovEkaterina PlyusninaAlex ZhavoronkovAlexey MoskalevAlex Braiman
- Journals
- Nature Communications (1 paper)SHILAP Revista de lepidopterología (2 papers)Scientific Reports (1 paper)
- Partner nations
- IsraelUnited StatesAustria
In The Last Decade
Hagai Yanai
27 papers receiving 829 citations
Peers
Comparison fields: 5 of 100
- Aging 218
- Physiology 279
- Geriatrics and Gerontology 37
- Biological Psychiatry 15
- Cancer Research 85
Countries citing papers authored by Hagai Yanai
This map shows the geographic impact of Hagai Yanai'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 Hagai Yanai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hagai Yanai more than expected).
Fields of papers citing papers by Hagai Yanai
This network shows the impact of papers produced by Hagai Yanai. 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 Hagai Yanai. The network helps show where Hagai Yanai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hagai Yanai, 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 | 2024 | 2 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 15 | |
| 6 | 2022 | 3 | |
| 7 | 2021 | 10 | |
| 8 | 2021 | 16 | |
| 9 | 2020 | 6 | |
| 10 | 2019 | 40 | |
| 11 | 2017 | 30 | |
| 12 | 2017 | 6 | |
| 13 | 2017 | 8 | |
| 14 | 2015 | 32 | |
| 15 | 2015 | 144 | |
| 16 | 2012 | 1 | |
| 17 | 2012 | 257 | |
| 18 | Immunoregulatory network and cancer-associated genes: molecular links and relevance to aging | 2011 | 10 |
| 19 | 2011 | 22 | |
| 20 | 2008 | 43 |
About Hagai Yanai
Hagai Yanai is a scholar working on Aging, Rehabilitation and Geriatrics and Gerontology, having authored 27 papers that have together received 851 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (6 papers), Telomeres, Telomerase, and Senescence (6 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Single-cell and spatial transcriptomics (4 papers), Wound Healing and Treatments (4 papers), Skin Protection and Aging (4 papers), Epigenetics and DNA Methylation (3 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Aging (218 citations), Physiology (279 citations) and Geriatrics and Gerontology (37 citations). Hagai Yanai has collaborated with scholars based in Israel, United States and Austria. Frequent co-authors include Vadim E. Fraifeld, Arie Budovsky, Robi Tăcutu, Mikhail Shaposhnikov, Ekaterina Plyusnina, Alex Zhavoronkov, Alexey Moskalev, Alex Braiman, Ziv Porat and Isabel Beerman. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Scientific Reports.
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.