Ken Sugino

7.0k total citations · 1 hit paper
33 papers, 4.7k citations indexed

About

Ken Sugino is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Ken Sugino has authored 33 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 14 papers in Cellular and Molecular Neuroscience and 10 papers in Cognitive Neuroscience. Recurrent topics in Ken Sugino's work include Neural dynamics and brain function (9 papers), Single-cell and spatial transcriptomics (7 papers) and Neuroscience and Neuropharmacology Research (6 papers). Ken Sugino is often cited by papers focused on Neural dynamics and brain function (9 papers), Single-cell and spatial transcriptomics (7 papers) and Neuroscience and Neuropharmacology Research (6 papers). Ken Sugino collaborates with scholars based in United States, United Kingdom and China. Ken Sugino's co-authors include Sacha B. Nelson, Chris M. Hempel, Z. Josh Huang, Yasuyuki Shima, Benjamin W. Okaty, Nelson Spruston, Mark N. Miller, Brenda C. Shields, Mark S. Cembrowski and Jiangteng Lu and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Ken Sugino

33 papers receiving 4.6k 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.

A Resource of Cre Driver Lines for Genetic Targeting of GABAergic Neurons in Cerebral Cortex

2011 1.3k citations Hiroki Taniguchi, Miao He et al. Neuron profile →

Peers

Ken Sugino

CMN

MB

CN

NEURO

EAS

Manabu Abe Japan

Hiroyuki Hioki Japan

Yugo Fukazawa Japan

Martin K. Schwarz Germany

Nobuaki Tamamaki Japan

Roy V. Sillitoe United States

Yu Fu China

Tomoo Hirano Japan

Birgit Liss Germany

María E. Rubio United States

Manabu Abe Japan

Ken Sugino

2.0k ×0.8

CMN

2.1k ×1.1

MB

969 ×0.6

CN

512 ×0.9

NEURO

512 ×0.9

EAS

Citations per year, relative to Ken Sugino Ken Sugino (= 1×) peers Manabu Abe

Countries citing papers authored by Ken Sugino

Since Specialization

Citations

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

Fields of papers citing papers by Ken Sugino

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Sugino

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Sugino, Ken, Erin Clark, Anton Schulmann, et al.. (2019). Mapping the transcriptional diversity of genetically and anatomically defined cell populations in the mouse brain. eLife. 8. 50 indexed citations

2.

Yamashita, Tetsuji, Fei Zheng, David Finkelstein, et al.. (2018). High-resolution transcriptional dissection of in vivo Atoh1-mediated hair cell conversion in mature cochleae identifies Isl1 as a co-reprogramming factor. PLoS Genetics. 14(7). e1007552–e1007552. 55 indexed citations

3.

Ren, Qingzhong, Ching-Po Yang, Zhiyong Liu, et al.. (2017). Stem Cell-Intrinsic, Seven-up-Triggered Temporal Factor Gradients Diversify Intermediate Neural Progenitors. Current Biology. 27(9). 1303–1313. 68 indexed citations

4.

Branco, Tiago, Adam Tozer, Christopher Magnus, et al.. (2016). Near-Perfect Synaptic Integration by Na v 1.7 in Hypothalamic Neurons Regulates Body Weight. Cell. 165(7). 1749–1761. 66 indexed citations

5.

Tatavarty, Vedakumar, Ken Sugino, Yasuyuki Shima, et al.. (2016). Upregulation of μ3A Drives Homeostatic Plasticity by Rerouting AMPAR into the Recycling Endosomal Pathway. Cell Reports. 16(10). 2711–2722. 18 indexed citations

6.

Cembrowski, Mark S., Julia L. Bachman, Lihua Wang, et al.. (2016). Spatial Gene-Expression Gradients Underlie Prominent Heterogeneity of CA1 Pyramidal Neurons. Neuron. 89(2). 351–368. 216 indexed citations

7.

Tränkner, Dimitri, et al.. (2014). Population of sensory neurons essential for asthmatic hyperreactivity of inflamed airways. Proceedings of the National Academy of Sciences. 111(31). 11515–11520. 176 indexed citations

8.

Taniguchi, Hiroki, Miao He, Priscilla Wu, et al.. (2011). A Resource of Cre Driver Lines for Genetic Targeting of GABAergic Neurons in Cerebral Cortex. Neuron. 71(6). 995–1013. 1335 indexed citations breakdown →

9.

Okaty, Benjamin W., Ken Sugino, & Sacha B. Nelson. (2011). A Quantitative Comparison of Cell-Type-Specific Microarray Gene Expression Profiling Methods in the Mouse Brain. PLoS ONE. 6(1). e16493–e16493. 85 indexed citations

10.

Sugino, Ken, et al.. (2011). Recent advances in single-cell MALDI mass spectrometry imaging and potential clinical impact. Expert Review of Proteomics. 8(5). 591–604. 85 indexed citations

11.

Okaty, Benjamin W., Ken Sugino, & Sacha B. Nelson. (2011). Cell Type-Specific Transcriptomics in the Brain. Journal of Neuroscience. 31(19). 6939–6943. 79 indexed citations

12.

Kadener, Sebastián, Joseph Rodriguez, Katharine C. Abruzzi, et al.. (2009). Genome-wide identification of targets of the drosha–pasha/DGCR8 complex. RNA. 15(4). 537–545. 94 indexed citations

13.

Kadener, Sebastián, Jérôme S. Menet, Ken Sugino, et al.. (2009). A role for microRNAs in the Drosophila circadian clock. Genes & Development. 23(18). 2179–2191. 144 indexed citations

14.

Okaty, Benjamin W., Mark N. Miller, Ken Sugino, Chris M. Hempel, & Sacha B. Nelson. (2009). Transcriptional and Electrophysiological Maturation of Neocortical Fast-Spiking GABAergic Interneurons. Journal of Neuroscience. 29(21). 7040–7052. 221 indexed citations

15.

Hempel, Chris M., Ken Sugino, & Sacha B. Nelson. (2007). A manual method for the purification of fluorescently labeled neurons from the mammalian brain. Nature Protocols. 2(11). 2924–2929. 99 indexed citations

16.

Nelson, Sacha B., Ken Sugino, & Chris M. Hempel. (2006). The problem of neuronal cell types: a physiological genomics approach. Trends in Neurosciences. 29(6). 339–345. 122 indexed citations

17.

Nelson, Sacha B., Chris M. Hempel, & Ken Sugino. (2006). Probing the transcriptome of neuronal cell types. Current Opinion in Neurobiology. 16(5). 571–576. 75 indexed citations

18.

Sugino, Ken, Chris M. Hempel, Mark N. Miller, et al.. (2005). Molecular taxonomy of major neuronal classes in the adult mouse forebrain. Nature Neuroscience. 9(1). 99–107. 409 indexed citations

19.

Sugino, Ken, et al.. (2003). The NMDA-to-AMPA Ratio at Synapses Onto Layer 2/3 Pyramidal Neurons Is Conserved Across Prefrontal and Visual Cortices. Journal of Neurophysiology. 90(2). 771–779. 164 indexed citations

20.

Hempel, Chris M., Ken Sugino, & Sacha B. Nelson. (2002). Multi-unit spike-triggered averaging: a method for probing the physiology of central synapses. Journal of Neuroscience Methods. 120(2). 121–129. 4 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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