Ido Amit
Impact in
- Neurology top 0.01%
- Neuroinflammation and Neurodegeneration Mechanisms
- Biological Psychiatry top 0.05%
Papers in
- Immunology 108
- Immune cells in cancer 44
- Immune Cell Function and Interaction 33
- Immunotherapy and Immune Responses 28
- T-cell and B-cell Immunology 24
- Neurology 36
- Neuroinflammation and Neurodegeneration Mechanisms 36
- Co-authors
- Eyal David (47 shared papers)Hadas Keren‐Shaul (20 shared papers)Eric S. Lander (5 shared papers)Assaf Weiner (12 shared papers)Michal Schwartz (14 shared papers)Aviv Regev (11 shared papers)Steffen Jung (12 shared papers)Bradley Bernstein (3 shared papers)
- Journals
- Cell (33 papers)Nature (13 papers)Science (9 papers)Immunity (9 papers)Nature Immunology (8 papers)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Ido Amit
208 papers receiving 75.5k citations
Ido Amit's Hit Papers
Peers
Comparison fields: 5 of 203
- Neurology 9.2k
- Biological Psychiatry 2.5k
- Immunology 16.9k
- Cancer Research 10.0k
- Molecular Biology 39.8k
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-authors
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
Showing the 20 most-cited of 212 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Full-length transcriptome assembly from RNA-Seq data without a reference genome Hit paper breakdown → | 2011 | 16340 |
| 2 | Comprehensive Mapping of Long-Range Interactions Reveals Folding Principles of the Human Genome Hit paper breakdown → | 2009 | 6136 |
| 3 | A Unique Microglia Type Associated with Restricting Development of Alzheimer’s Disease Hit paper breakdown → | 2017 | 3934 |
| 4 | Chromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammals Hit paper breakdown → | 2009 | 3437 |
| 5 | Host microbiota constantly control maturation and function of microglia in the CNS Hit paper breakdown → | 2015 | 2852 |
| 6 | Single-cell landscape of bronchoalveolar immune cells in patients with COVID-19 Hit paper breakdown → | 2020 | 1916 |
| 7 | A Large Intergenic Noncoding RNA Induced by p53 Mediates Global Gene Repression in the p53 Response Hit paper breakdown → | 2010 | 1783 |
| 8 | Tissue-Resident Macrophage Enhancer Landscapes Are Shaped by the Local Microenvironment Hit paper breakdown → | 2014 | 1719 |
| 9 | lincRNAs act in the circuitry controlling pluripotency and differentiation Hit paper breakdown → | 2011 | 1600 |
| 10 | Massively Parallel Single-Cell RNA-Seq for Marker-Free Decomposition of Tissues into Cell Types Hit paper breakdown → | 2014 | 1378 |
| 11 | m 6 A mRNA methylation facilitates resolution of naïve pluripotency toward differentiation Hit paper breakdown → | 2015 | 1351 |
| 12 | Microglia states and nomenclature: A field at its crossroads Hit paper breakdown → | 2022 | 1302 |
| 13 | The Human Cell Atlas Hit paper breakdown → | 2017 | 1213 |
| 14 | Disease-Associated Microglia: A Universal Immune Sensor of Neurodegeneration Hit paper breakdown → | 2018 | 1027 |
| 15 | Lipid-Associated Macrophages Control Metabolic Homeostasis in a Trem2-Dependent Manner Hit paper breakdown → | 2019 | 1022 |
| 16 | NASH limits anti-tumour surveillance in immunotherapy-treated HCC Hit paper breakdown → | 2021 | 1006 |
| 17 | Microglia development follows a stepwise program to regulate brain homeostasis Hit paper breakdown → | 2016 | 982 |
| 18 | Innate Immune Landscape in Early Lung Adenocarcinoma by Paired Single-Cell Analyses Hit paper breakdown → | 2017 | 963 |
| 19 | Dysfunctional CD8 T Cells Form a Proliferative, Dynamically Regulated Compartment within Human Melanoma Hit paper breakdown → | 2018 | 881 |
| 20 | Derivation of novel human ground state naive pluripotent stem cells Hit paper breakdown → | 2013 | 879 |
About Ido Amit
Ido Amit is a scholar working on Immunology, Neurology, Molecular Biology, Oncology and Cancer Research, having authored 212 papers that have together received 76.3k indexed citations. Recurring topics across this work include Immune cells in cancer (44 papers), Single-cell and spatial transcriptomics (43 papers), Neuroinflammation and Neurodegeneration Mechanisms (36 papers), Immune Cell Function and Interaction (33 papers), Immunotherapy and Immune Responses (28 papers), T-cell and B-cell Immunology (24 papers), Genomics and Chromatin Dynamics (21 papers) and RNA Research and Splicing (20 papers). The work is most often cited by research in Neurology (9.2k citations), Biological Psychiatry (2.5k citations), Immunology (16.9k citations), Cancer Research (10.0k citations) and Molecular Biology (39.8k 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, Bradley Bernstein, Diego Adhemar Jaitin and Aleksandra Deczkowska. Their work appears in journals such as Cell, Nature, Science, Immunity and Nature Immunology.
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.