Itai Yanai
Impact in
- Aging top 0.5%
- Sensory Systems top 0.5%
- Olfactory and Sensory Function Studies
Papers in
- Aging 17
- Genetics, Aging, and Longevity in Model Organisms 17
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- Single-cell and spatial transcriptomics 18
- Genomics and Phylogenetic Studies 13
- CRISPR and Genetic Engineering 13
- Genomics and Chromatin Dynamics 12
- RNA and protein synthesis mechanisms 12
- Co-authors
- Tamar HashimshonyFlorian WagnerDalia BarkleyGustavo S. FrançaAnjali RaoNoa SherMaayan BaronDoron Lancet
- Journals
- Genome biology (9 papers)Nature (6 papers)Trends in Genetics (6 papers)Genome Research (5 papers)Cell Systems (4 papers)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Itai Yanai
88 papers receiving 9.0k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Aging 501
- Sensory Systems 561
- Biophysics 560
- Cancer Research 1.5k
- Molecular Biology 6.4k
Countries citing papers authored by Itai Yanai
This map shows the geographic impact of Itai 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 Itai Yanai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Itai Yanai more than expected).
Fields of papers citing papers by Itai Yanai
This network shows the impact of papers produced by Itai 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 Itai Yanai. The network helps show where Itai Yanai may publish in the future.
Co-authors
The 25 scholars most cited alongside Itai 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 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 21 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 8 | |
| 7 | 2020 | 52 | |
| 8 | 2019 | 12 | |
| 9 | A Single-Cell Transcriptomic Map of the Human and Mouse Pancreas Reveals Inter- and Intra-cell Population Structure Hit paper breakdown → | 2016 | 913 |
| 10 | 2016 | 269 | |
| 11 | 2012 | 51 | |
| 12 | 2012 | 2 | |
| 13 | 2012 | 148 | |
| 14 | 2010 | 8 | |
| 15 | 2005 | 221 | |
| 16 | 2005 | 131 | |
| 17 | Genome-wide midrange transcription profiles reveal expression level relationships in human tissue specification Hit paper breakdown → | 2004 | 807 |
| 18 | 2002 | 44 | |
| 19 | 2001 | 123 | |
| 20 | The Complete Human Olfactory Subgenome Hit paper breakdown → | 2001 | 525 |
About Itai Yanai
Itai Yanai is a scholar working on Aging, Molecular Biology, Cancer Research, Genetics and Biophysics, having authored 90 papers that have together received 9.1k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (18 papers), Genetics, Aging, and Longevity in Model Organisms (17 papers), Genomics and Phylogenetic Studies (13 papers), CRISPR and Genetic Engineering (13 papers), Genomics and Chromatin Dynamics (12 papers), RNA and protein synthesis mechanisms (12 papers), Cancer Genomics and Diagnostics (11 papers) and Cancer Cells and Metastasis (8 papers). The work is most often cited by research in Aging (501 citations), Sensory Systems (561 citations), Biophysics (560 citations), Cancer Research (1.5k citations) and Molecular Biology (6.4k citations). Itai Yanai has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Tamar Hashimshony, Florian Wagner, Dalia Barkley, Gustavo S. França, Anjali Rao, Noa Sher, Maayan Baron, Doron Lancet, Ron Ophir and Irit Rubin. Their work appears in journals such as Genome biology, Nature, Trends in Genetics, Genome Research and Cell Systems.
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.