Ido Amit
- Biological Psychiatry top 0.05%
- Neurology top 0.02%
- Neuroinflammation and Neurodegeneration Mechanisms 25
- Cancer Research top 0.05%
- Immunology top 0.05%
- Immune cells in cancer 30
- Immunotherapy and Immune Responses 23
- Immune Cell Function and Interaction 22
- T-cell and B-cell Immunology 20
- Molecular Biology top 0.05%
- Single-cell and spatial transcriptomics 34
- Genomics and Chromatin Dynamics 17
- RNA Research and Splicing 16
- Co-authors
- Eyal DavidHadas Keren‐ShaulEric S. LanderAssaf WeinerMichal SchwartzAviv RegevSteffen JungB Bernstein
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Ido Amit
159 papers receiving 39.5k citations
Hit Papers
Peers
Comparison fields: 5 of 185
- Biological Psychiatry 2.0k
- Neurology 6.1k
- Cancer Research 8.0k
- Immunology 10.0k
- Molecular Biology 25.1k
Countries citing papers authored by Ido Amit
This map shows the geographic impact of Ido Amit'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 Ido Amit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ido Amit more than expected).
Fields of papers citing papers by Ido Amit
This network shows the impact of papers produced by Ido Amit. 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 Ido Amit. The network helps show where Ido Amit may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ido Amit, 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 | 2023 | 7 | |
| 2 | 2023 | 6 | |
| 3 | 2022 | 115 | |
| 4 | 2022 | 53 | |
| 5 | 2022 | 117 | |
| 6 | 2021 | 87 | |
| 7 | 2021 | 13 | |
| 8 | 2020 | 71 | |
| 9 | 2020 | 53 | |
| 10 | 2020 | 3 | |
| 11 | 2020 | 176 | |
| 12 | 2019 | 178 | |
| 13 | 2019 | 32 | |
| 14 | 2016 | 107 | |
| 15 | Chromatin state dynamics during blood formationbreakdown → | 2014 | 556 |
| 16 | 2014 | 432 | |
| 17 | 2012 | 142 | |
| 18 | 2012 | 88 | |
| 19 | 2010 | 1 | |
| 20 | Comprehensive Mapping of Long-Range Interactions Reveals Folding Principles of the Human Genomebreakdown → | 2009 | 5700 |
About Ido Amit
Ido Amit is a scholar working on Immunology, Neurology, Biological Psychiatry, Molecular Biology and Cancer Research, having authored 162 papers that have together received 39.9k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (34 papers), Immune cells in cancer (30 papers), Neuroinflammation and Neurodegeneration Mechanisms (25 papers), Immunotherapy and Immune Responses (23 papers), Immune Cell Function and Interaction (22 papers), T-cell and B-cell Immunology (20 papers), Genomics and Chromatin Dynamics (17 papers) and RNA Research and Splicing (16 papers). The work is most often cited by research in Biological Psychiatry (2.0k citations), Neurology (6.1k citations), Cancer Research (8.0k citations), Immunology (10.0k citations) and Molecular Biology (25.1k citations). Ido Amit has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Eyal David, Hadas Keren‐Shaul, Eric S. Lander, Assaf Weiner, Michal Schwartz, Aviv Regev, Steffen Jung, B Bernstein, Diego Adhemar Jaitin and Aleksandra Deczkowska. Their work appears in journals such as Cell, Nature, Nature Immunology, Nature Communications and Nature Biotechnology.
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.