Ryoji Amamoto

1.6k total citations · 1 hit paper
10 papers, 1.1k citations indexed

About

Ryoji Amamoto is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Ryoji Amamoto has authored 10 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Developmental Neuroscience. Recurrent topics in Ryoji Amamoto's work include Single-cell and spatial transcriptomics (3 papers), CRISPR and Genetic Engineering (3 papers) and Pluripotent Stem Cells Research (2 papers). Ryoji Amamoto is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), CRISPR and Genetic Engineering (3 papers) and Pluripotent Stem Cells Research (2 papers). Ryoji Amamoto collaborates with scholars based in United States and Switzerland. Ryoji Amamoto's co-authors include Paola Arlotta, Jonathan Scheiman, Amy Bernard, John Aach, George M. Church, Brian M. Turczyk, Je Hyuk Lee, Xavier Rios, Joyce Yang and Samuel A. Inverso and has published in prestigious journals such as Science, Nucleic Acids Research and Human Molecular Genetics.

In The Last Decade

Ryoji Amamoto

10 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Highly Multiplexed Subcellular RNA Sequencing in Situ

2014 693 citations Je Hyuk Lee, Evan R Daugharthy et al. Science profile →

Peers

Countries citing papers authored by Ryoji Amamoto

Since Specialization

Citations

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

Fields of papers citing papers by Ryoji Amamoto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryoji Amamoto

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

All Works

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10 of 10 papers shown

#	Work	Indexed citations
1	A general approach for stabilizing nanobodies for intracellular expression 2022 ·eLife ·(unknown), Jonathan C. Y. Tang, Ryoji Amamoto, (unknown), Constance L. Cepko	31
2	Probe-Seq: Method for RNA Sequencing of Specific Cell Types from Animal Tissue 2020 ·BIO-PROTOCOL ·Ryoji Amamoto, (unknown), Emma R. West, Jiho Choi, Sylvain W. Lapan, Elizabeth A. Lane, Norbert Perrimon, Constance L. Cepko	1
3	Probe-Seq enables transcriptional profiling of specific cell types from heterogeneous tissue by RNA-based isolation 2019 ·eLife ·Ryoji Amamoto, (unknown), Emma R. West, Jiho Choi, Sylvain W. Lapan, Elizabeth A. Lane, Norbert Perrimon, Constance L. Cepko	28
4	FIN-Seq: transcriptional profiling of specific cell types from frozen archived tissue of the human central nervous system 2019 ·Nucleic Acids Research ·Ryoji Amamoto, Emanuela Zuccaro, Nathan Curry, (unknown), Hsu-Hsin Chen, Constance L. Cepko, Paola Arlotta	10
5	Adult axolotls can regenerate original neuronal diversity in response to brain injury 2016 ·eLife ·Ryoji Amamoto, Violeta G. López-Huerta, Emi Takahashi, Guangping Dai, Aaron K. Grant, Zhanyan Fu, Paola Arlotta	53
6	Highly Multiplexed Subcellular RNA Sequencing in Situ breakdown → 2014 ·Science ·Je Hyuk Lee, Evan R Daugharthy, Jonathan Scheiman, Reza Kalhor, Joyce Yang, Thomas C. Ferrante, (unknown), (unknown), Chao Li, Ryoji Amamoto, Derek Peters, Brian M. Turczyk, Adam Marblestone, Samuel A. Inverso, Amy Bernard, Prashant Mali, Xavier Rios, John Aach, George M. Church	693
7	Development-Inspired Reprogramming of the Mammalian Central Nervous System 2014 ·Science ·Ryoji Amamoto, Paola Arlotta	74
8	FOXO3 determines the accumulation of α-synuclein and controls the fate of dopaminergic neurons in the substantia nigra 2013 ·Human Molecular Genetics ·(unknown), Ryoji Amamoto, Lu Zheng, Matthias Cacquevel, (unknown), Graham Knott, Bernard L. Schneider	81
9	Reshaping the brain: direct lineage conversion in the nervous system 2013 ·F1000Prime Reports ·Ryoji Amamoto, Paola Arlotta	2
10	Excessive alcohol consumption is blocked by glial cell line–derived neurotrophic factor 2009 ·Alcohol ·Sébastien Carnicella, Ryoji Amamoto, Dorit Ron	98

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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