Amit Spinrad

7.6k total citations · 1 hit paper
9 papers, 4.0k citations indexed

About

Amit Spinrad is a scholar working on Neurology, Immunology and Computational Theory and Mathematics. According to data from OpenAlex, Amit Spinrad has authored 9 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Neurology, 4 papers in Immunology and 2 papers in Computational Theory and Mathematics. Recurrent topics in Amit Spinrad's work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Reproductive System and Pregnancy (2 papers) and Computational Drug Discovery Methods (2 papers). Amit Spinrad is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Reproductive System and Pregnancy (2 papers) and Computational Drug Discovery Methods (2 papers). Amit Spinrad collaborates with scholars based in Israel, United States and Germany. Amit Spinrad's co-authors include Michal Schwartz, Kuti Baruch, Ido Amit, Orit Matcovitch-Natan, Eyal David, Shalev Itzkovitz, Assaf Weiner, Hadas Keren‐Shaul, Marco Colonna and Tyler K. Ulland and has published in prestigious journals such as Cell, Nature Communications and Genome biology.

In The Last Decade

Amit Spinrad

9 papers receiving 3.9k citations

Hit Papers

A Unique Microglia Type Associated with Restricting Devel... 2017 2026 2020 2023 2017 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amit Spinrad Israel 7 3.0k 1.4k 1.4k 998 633 9 4.0k
Diego Gómez‐Nicola United Kingdom 30 2.7k 0.9× 1.2k 0.8× 1.4k 1.0× 939 0.9× 462 0.7× 58 4.1k
Qiaoqiao Shi United States 12 2.1k 0.7× 1.4k 0.9× 757 0.5× 787 0.8× 471 0.7× 15 3.3k
Elizabeth E. Spangenberg United States 9 2.4k 0.8× 909 0.6× 1.0k 0.7× 688 0.7× 390 0.6× 9 3.3k
Alain R. Simard Canada 23 2.0k 0.7× 912 0.6× 906 0.6× 1.2k 1.2× 318 0.5× 35 3.6k
Kuti Baruch Israel 20 4.3k 1.5× 2.0k 1.4× 2.0k 1.4× 1.4k 1.4× 1.2k 1.9× 26 6.1k
Arnaud Frouin United States 4 1.9k 0.6× 1.1k 0.7× 668 0.5× 760 0.8× 393 0.6× 4 2.9k
Erik Boddeke Netherlands 37 2.5k 0.9× 850 0.6× 1.4k 1.0× 1.6k 1.7× 363 0.6× 76 4.7k
Thomas Koeglsperger Germany 15 1.8k 0.6× 981 0.7× 1.0k 0.7× 845 0.8× 260 0.4× 30 3.5k
Andrea Delekate Germany 13 1.4k 0.5× 1.2k 0.8× 565 0.4× 1.6k 1.6× 573 0.9× 14 3.4k
Carlo Condello United States 22 1.8k 0.6× 1.7k 1.2× 590 0.4× 1.0k 1.1× 271 0.4× 37 3.0k

Countries citing papers authored by Amit Spinrad

Since Specialization
Citations

This map shows the geographic impact of Amit Spinrad'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 Amit Spinrad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Spinrad more than expected).

Fields of papers citing papers by Amit Spinrad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amit Spinrad. 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 Amit Spinrad. The network helps show where Amit Spinrad may publish in the future.

Co-authorship network of co-authors of Amit Spinrad

This figure shows the co-authorship network connecting the top 25 collaborators of Amit Spinrad. A scholar is included among the top collaborators of Amit Spinrad 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 Amit Spinrad. Amit Spinrad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Spinrad, Amit, et al.. (2024). Action recommendations review in community-based therapy and depression and anxiety outcomes: a machine learning approach. BMC Psychiatry. 24(1). 133–133. 8 indexed citations
2.
Taliaz, Dekel, Amit Spinrad, Ran Barzilay, et al.. (2021). Optimizing prediction of response to antidepressant medications using machine learning and integrated genetic, clinical, and demographic data. Translational Psychiatry. 11(1). 381–381. 58 indexed citations
3.
Ross, Caroline Jane, et al.. (2021). Uncovering deeply conserved motif combinations in rapidly evolving noncoding sequences. Genome biology. 22(1). 29–29. 36 indexed citations
4.
Spinrad, Amit, et al.. (2021). Optimizing prediction of response to antidepressant medications using machine learning and environmental data. European Psychiatry. 64(S1). S755–S755. 2 indexed citations
5.
Ben-Yehuda, Hila, Orit Matcovitch-Natan, Alexander Kertser, et al.. (2019). Maternal Type-I interferon signaling adversely affects the microglia and the behavior of the offspring accompanied by increased sensitivity to stress. Molecular Psychiatry. 25(5). 1050–1067. 48 indexed citations
6.
Deczkowska, Aleksandra, Orit Matcovitch-Natan, Afroditi Tsitsou-Kampeli, et al.. (2017). Mef2C restrains microglial inflammatory response and is lost in brain ageing in an IFN-I-dependent manner. Nature Communications. 8(1). 717–717. 169 indexed citations
7.
Keren‐Shaul, Hadas, Amit Spinrad, Assaf Weiner, et al.. (2017). A Unique Microglia Type Associated with Restricting Development of Alzheimer’s Disease. Cell. 169(7). 1276–1290.e17. 3266 indexed citations breakdown →
8.
Ben-Yehuda, Hila, Orit Matcovitch-Natan, Amit Spinrad, Ido Amit, & Michal Schwartz. (2017). Maternal immune activation alters microglia proliferation in the developing brain. Brain Behavior and Immunity. 66. e3–e3. 1 indexed citations
9.
Baruch, Kuti, Neta Rosenzweig, Alexander Kertser, et al.. (2015). Breaking immune tolerance by targeting Foxp3+ regulatory T cells mitigates Alzheimer’s disease pathology. Nature Communications. 6(1). 7967–7967. 366 indexed citations

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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