Ido Amit

103.7k total citations · 21 hit papers
162 papers, 39.9k citations indexed

About

Ido Amit is a scholar working on Molecular Biology, Immunology and Neurology. According to data from OpenAlex, Ido Amit has authored 162 papers receiving a total of 39.9k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Molecular Biology, 76 papers in Immunology and 25 papers in Neurology. Recurrent topics in Ido Amit's work include Single-cell and spatial transcriptomics (34 papers), Immune cells in cancer (30 papers) and Neuroinflammation and Neurodegeneration Mechanisms (25 papers). Ido Amit is often cited by papers focused on Single-cell and spatial transcriptomics (34 papers), Immune cells in cancer (30 papers) and Neuroinflammation and Neurodegeneration Mechanisms (25 papers). Ido Amit collaborates with scholars based in Israel, United States and Germany. Ido Amit's 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 and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Ido Amit

159 papers receiving 39.5k citations

Hit Papers

Comprehensive Mapping of Long-Range Interactions Reveals ... 2009 2026 2014 2020 2009 2009 2017 2015 2010 1000 2.0k 3.0k 4.0k 5.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ido Amit Israel 73 25.1k 10.0k 8.0k 6.1k 3.8k 162 39.9k
Wei Shi Australia 39 29.5k 1.2× 10.1k 1.0× 9.2k 1.2× 1.3k 0.2× 3.0k 0.8× 94 51.3k
Rahul Satija United States 45 28.8k 1.1× 11.1k 1.1× 7.0k 0.9× 2.4k 0.4× 1.5k 0.4× 71 41.3k
Hans Lassmann Austria 145 18.7k 0.7× 18.8k 1.9× 2.7k 0.3× 18.1k 2.9× 6.0k 1.6× 645 70.7k
Brad T. Sherman United States 23 37.7k 1.5× 7.0k 0.7× 11.4k 1.4× 1.2k 0.2× 3.8k 1.0× 43 59.6k
Richard A. Lempicki United States 46 36.6k 1.5× 8.5k 0.9× 11.0k 1.4× 1.1k 0.2× 3.7k 1.0× 130 60.5k
Da Wei Huang United States 27 28.2k 1.1× 5.4k 0.5× 8.6k 1.1× 870 0.1× 2.9k 0.8× 69 45.1k
Shuh Narumiya Japan 125 28.8k 1.1× 7.4k 0.7× 3.5k 0.4× 1.7k 0.3× 8.6k 2.3× 556 60.6k
John R. Yates United States 161 78.4k 3.1× 6.2k 0.6× 5.5k 0.7× 2.4k 0.4× 6.2k 1.6× 995 108.9k
Vamsi K. Mootha United States 87 51.6k 2.1× 7.3k 0.7× 11.6k 1.4× 1.3k 0.2× 10.7k 2.8× 199 72.9k
Aravind Subramanian United States 29 29.6k 1.2× 7.2k 0.7× 9.9k 1.2× 900 0.1× 2.4k 0.6× 53 45.9k

Countries citing papers authored by Ido Amit

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Ido Amit

This figure shows the co-authorship network connecting the top 25 collaborators of Ido Amit. A scholar is included among the top collaborators of Ido Amit based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ido Amit. Ido Amit is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Landsberger, Tomer, Ido Amit, & Uri Alon. (2023). Geroprotective interventions converge on gene expression programs of reduced inflammation and restored fatty acid metabolism. GeroScience. 46(2). 1627–1639. 7 indexed citations
2.
Leshkowitz, Dena, Hanjie Li, Andreas van Impel, et al.. (2023). Neural plate progenitors give rise to both anterior and posterior pituitary cells. Developmental Cell. 58(23). 2652–2665.e6. 6 indexed citations
3.
Bost, Pierre, Yuzhou Chang, Shuo Chen, et al.. (2022). A shared disease-associated oligodendrocyte signature among multiple CNS pathologies. Nature Neuroscience. 25(7). 876–886. 115 indexed citations
4.
Salomon, Ran, Yonatan Katzenelenbogen, Assaf Weiner, et al.. (2022). Bispecific antibodies increase the therapeutic window of CD40 agonists through selective dendritic cell targeting. Nature Cancer. 3(3). 287–302. 53 indexed citations
5.
Cohen, Merav, Amir Giladi, Oren Barboy, et al.. (2022). The interaction of CD4+ helper T cells with dendritic cells shapes the tumor microenvironment and immune checkpoint blockade response. Nature Cancer. 3(3). 303–317. 117 indexed citations
6.
McFarland, Adelle P., Adam Yalin, Shuang-Yin Wang, et al.. (2021). Multi-tissue single-cell analysis deconstructs the complex programs of mouse natural killer and type 1 innate lymphoid cells in tissues and circulation. Immunity. 54(6). 1320–1337.e4. 87 indexed citations
7.
Leun, Anne M. van der, Mirjam E. Hoekstra, Colinda L. G. J. Scheele, et al.. (2021). Single-cell analysis of regions of interest (SCARI) using a photosensitive tag. Nature Chemical Biology. 17(11). 1139–1147. 13 indexed citations
8.
Yofe, Ido, Rony Dahan, & Ido Amit. (2020). Single-cell genomic approaches for developing the next generation of immunotherapies. Nature Medicine. 26(2). 171–177. 71 indexed citations
9.
Giovanni, Marco De, Amir Giladi, Chiara Medaglia, et al.. (2020). Spatiotemporal regulation of type I interferon expression determines the antiviral polarization of CD4+ T cells. Nature Immunology. 21(3). 321–330. 53 indexed citations
10.
Giladi, Amir, Lisa Katharina Wagner, Hanjie Li, et al.. (2020). Publisher Correction: Cxcl10+ monocytes define a pathogenic subset in the central nervous system during autoimmune neuroinflammation. Nature Immunology. 21(8). 962–962. 3 indexed citations
11.
Giladi, Amir, Merav Cohen, Chiara Medaglia, et al.. (2020). Dissecting cellular crosstalk by sequencing physically interacting cells. Nature Biotechnology. 38(5). 629–637. 176 indexed citations
12.
Keren‐Shaul, Hadas, Ephraim Kenigsberg, Diego Adhemar Jaitin, et al.. (2019). MARS-seq2.0: an experimental and analytical pipeline for indexed sorting combined with single-cell RNA sequencing. Nature Protocols. 14(6). 1841–1862. 178 indexed citations
13.
Kertser, Alexander, Kuti Baruch, Aleksandra Deczkowska, et al.. (2019). Corticosteroid signaling at the brain-immune interface impedes coping with severe psychological stress. Science Advances. 5(5). eaav4111–eaav4111. 32 indexed citations
14.
Gil-Yarom, Naama, Lihi Radomir, Lital Sever, et al.. (2016). CD74 is a novel transcription regulator. Proceedings of the National Academy of Sciences. 114(3). 562–567. 107 indexed citations
15.
Lara‐Astiaso, David, Assaf Weiner, Erika Lorenzo-Vivas, et al.. (2014). Chromatin state dynamics during blood formation. Science. 345(6199). 943–949. 556 indexed citations breakdown →
16.
Baruch, Kuti, Aleksandra Deczkowska, Eyal David, et al.. (2014). Aging-induced type I interferon response at the choroid plexus negatively affects brain function. Science. 346(6205). 89–93. 432 indexed citations
17.
Shalek, Alex K., Jellert T. Gaublomme, Lili Wang, et al.. (2012). Nanowire-Mediated DeliveryEnables Functional Interrogationof Primary Immune Cells: Application to the Analysis of Chronic LymphocyticLeukemia. Europe PMC (PubMed Central). 142 indexed citations
18.
Mildner, Alexander, Elik Chapnik, Ohad Manor, et al.. (2012). Mononuclear phagocyte miRNome analysis identifies miR-142 as critical regulator of murine dendritic cell homeostasis. Blood. 121(6). 1016–1027. 88 indexed citations
19.
Lieberman-Aiden, Erez, Louise Williams, Maxim Imakaev, et al.. (2010). Comprehensive Mapping of Long-Range Interactions Reveals Folding Principles of the Human Genome. 1 indexed citations
20.
Lieberman-Aiden, Erez, Nynke L. van Berkum, Louise Williams, et al.. (2009). Comprehensive Mapping of Long-Range Interactions Reveals Folding Principles of the Human Genome. Science. 326(5950). 289–293. 5700 indexed citations breakdown →

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.

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