Ido Amit
Impact in
- Biological Psychiatry top 0.05%
- Neurology top 0.02%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Single-cell and spatial transcriptomics 31
- Genomics and Chromatin Dynamics 17
- RNA Research and Splicing 16
- Immunology 74
- Immune cells in cancer 28
- Immunotherapy and Immune Responses 23
- Immune Cell Function and Interaction 22
- T-cell and B-cell Immunology 21
- Co-authors
- Aviv Regev (12 shared papers)Eyal David (45 shared papers)Hadas Keren‐Shaul (21 shared papers)Nir Hacohen (10 shared papers)Nir Friedman (7 shared papers)Eric S. Lander (6 shared papers)Raktima Raychowdhury (5 shared papers)Andreas Gnirke (2 shared papers)
- Journals
- Cell (15 papers)Nature (9 papers)Nature Immunology (8 papers)Nature Biotechnology (6 papers)Science (5 papers)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Ido Amit
144 papers receiving 54.8k citations
Ido Amit's Hit Papers
Peers
Comparison fields: 5 of 200
- Biological Psychiatry 1.7k
- Neurology 5.8k
- Cancer Research 7.9k
- Immunology 10.4k
- Molecular Biology 30.6k
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 149 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 | 15791 |
| 2 | Comprehensive Mapping of Long-Range Interactions Reveals Folding Principles of the Human Genome Hit paper breakdown → | 2009 | 5811 |
| 3 | A Unique Microglia Type Associated with Restricting Development of Alzheimer’s Disease Hit paper breakdown → | 2017 | 3424 |
| 4 | Chromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammals Hit paper breakdown → | 2009 | 3294 |
| 5 | Host microbiota constantly control maturation and function of microglia in the CNS Hit paper breakdown → | 2015 | 2578 |
| 6 | A Large Intergenic Noncoding RNA Induced by p53 Mediates Global Gene Repression in the p53 Response Hit paper breakdown → | 2010 | 1698 |
| 7 | Single-cell landscape of bronchoalveolar immune cells in patients with COVID-19 Hit paper breakdown → | 2020 | 1585 |
| 8 | Tissue-Resident Macrophage Enhancer Landscapes Are Shaped by the Local Microenvironment Hit paper breakdown → | 2014 | 1548 |
| 9 | lincRNAs act in the circuitry controlling pluripotency and differentiation Hit paper breakdown → | 2011 | 1545 |
| 10 | Massively Parallel Single-Cell RNA-Seq for Marker-Free Decomposition of Tissues into Cell Types Hit paper breakdown → | 2014 | 1260 |
| 11 | The Human Cell Atlas Hit paper breakdown → | 2017 | 1092 |
| 12 | Disease-Associated Microglia: A Universal Immune Sensor of Neurodegeneration Hit paper breakdown → | 2018 | 919 |
| 13 | Microbiota-Modulated Metabolites Shape the Intestinal Microenvironment by Regulating NLRP6 Inflammasome Signaling Hit paper breakdown → | 2015 | 743 |
| 14 | Single-cell spatial reconstruction reveals global division of labour in the mammalian liver Hit paper breakdown → | 2017 | 707 |
| 15 | Dysfunctional CD8 T Cells Form a Proliferative, Dynamically Regulated Compartment within Human Melanoma Hit paper breakdown → | 2018 | 685 |
| 16 | Chromatin state dynamics during blood formation Hit paper breakdown → | 2014 | 560 |
| 17 | Dissecting Immune Circuits by Linking CRISPR-Pooled Screens with Single-Cell RNA-Seq Hit paper breakdown → | 2016 | 555 |
| 18 | 2014 | 440 | |
| 19 | The Physiology, Pathology, and Potential Therapeutic Applications of the TREM2 Signaling Pathway Hit paper breakdown → | 2020 | 396 |
| 20 | 2007 | 362 |
About Ido Amit
Ido Amit is a scholar working on Molecular Biology, Immunology, Neurology, Oncology and Cancer Research, having authored 149 papers that have together received 55.2k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (31 papers), Immune cells in cancer (28 papers), Neuroinflammation and Neurodegeneration Mechanisms (24 papers), Immunotherapy and Immune Responses (23 papers), Immune Cell Function and Interaction (22 papers), T-cell and B-cell Immunology (21 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 (1.7k citations), Neurology (5.8k citations), Cancer Research (7.9k citations), Immunology (10.4k citations) and Molecular Biology (30.6k citations). Ido Amit has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Aviv Regev, Eyal David, Hadas Keren‐Shaul, Nir Hacohen, Nir Friedman, Eric S. Lander, Raktima Raychowdhury, Andreas Gnirke, Xian Adiconis and Chad Nusbaum. Their work appears in journals such as Cell, Nature, Nature Immunology, Nature Biotechnology and Science.
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.