Taiga Abe

5.5k total citations · 1 hit paper
6 papers, 2.6k citations indexed

About

Taiga Abe is a scholar working on Cognitive Neuroscience, Biophysics and Social Psychology. According to data from OpenAlex, Taiga Abe has authored 6 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cognitive Neuroscience, 2 papers in Biophysics and 1 paper in Social Psychology. Recurrent topics in Taiga Abe's work include Functional Brain Connectivity Studies (2 papers), Neural dynamics and brain function (2 papers) and Cell Image Analysis Techniques (2 papers). Taiga Abe is often cited by papers focused on Functional Brain Connectivity Studies (2 papers), Neural dynamics and brain function (2 papers) and Cell Image Analysis Techniques (2 papers). Taiga Abe collaborates with scholars based in United States, Japan and France. Taiga Abe's co-authors include Alexander Mathis, Mackenzie Weygandt Mathis, Venkatesh N. Murthy, Matthias Bethge, Pranav Mamidanna, Kevin M. Cury, Shreya Saxena, John P. Cunningham, Liam Paninski and Simon Musall and has published in prestigious journals such as Neuron, Nature Neuroscience and Neural Information Processing Systems.

In The Last Decade

Taiga Abe

5 papers receiving 2.6k 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.

DeepLabCut: markerless pose estimation of user-defined body parts with deep learning

2018 2.5k citations Alexander Mathis, Pranav Mamidanna et al. Nature Neuroscience profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Taiga Abe United States	3	963	755	481	353	294	6	2.6k
Pranav Mamidanna Denmark	5	969 1.0×	758 1.0×	474 1.0×	354 1.0×	313 1.1×	7	2.6k
Kevin M. Cury United States	4	994 1.0×	955 1.3×	474 1.0×	353 1.0×	373 1.3×	4	2.8k
Mackenzie Weygandt Mathis United States	15	1.6k 1.7×	1.1k 1.5×	791 1.6×	674 1.9×	540 1.8×	27	4.9k
Natalia A. Shevtsova United States	28	1.0k 1.1×	368 0.5×	632 1.3×	377 1.1×	622 2.1×	64	2.5k
Alexander Mathis United States	19	1.9k 1.9×	1.4k 1.8×	808 1.7×	785 2.2×	564 1.9×	37	5.3k
Ilya A. Rybak United States	42	2.5k 2.6×	703 0.9×	922 1.9×	1.2k 3.3×	1.1k 3.9×	130	5.5k
Victoria E. Abraira United States	16	777 0.8×	938 1.2×	277 0.6×	196 0.6×	350 1.2×	26	2.7k
Malcolm A. MacIver United States	29	906 0.9×	335 0.4×	216 0.4×	226 0.6×	289 1.0×	63	3.3k
Àlex Gómez-Marín Spain	19	779 0.8×	666 0.9×	152 0.3×	272 0.8×	111 0.4×	53	2.1k
Tanmay Nath United States	11	422 0.4×	227 0.3×	174 0.4×	174 0.5×	132 0.4×	18	1.4k

Countries citing papers authored by Taiga Abe

Since Specialization

Citations

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

Fields of papers citing papers by Taiga Abe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taiga Abe

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

All Works

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6 of 6 papers shown

1.

Abe, Taiga, Ian Kinsella, Shreya Saxena, et al.. (2022). Neuroscience Cloud Analysis As a Service: An open-source platform for scalable, reproducible data analysis. Neuron. 110(17). 2771–2789.e7. 11 indexed citations

2.

Abe, Taiga, et al.. (2022). Verification of plants growth promoting effect using natural sunlight spectrum LED.

3.

Abe, Taiga, Ian Kinsella, Shreya Saxena, et al.. (2021). Neuroscience Cloud Analysis as a Service: An Open Source Platform for Scalable, Reproducible Data Analysis. SSRN Electronic Journal. 1 indexed citations

4.

Abe, Taiga, et al.. (2020). The toilet paper issue during the COVID-19 crisis. 655–659. 2 indexed citations

5.

Whiteway, Matthew R, Shreya Saxena, Taiga Abe, et al.. (2019). BehaveNet: nonlinear embedding and Bayesian neural decoding of behavioral videos. Neural Information Processing Systems. 32. 15680–15691. 31 indexed citations

6.

Mathis, Alexander, Pranav Mamidanna, Kevin M. Cury, et al.. (2018). DeepLabCut: markerless pose estimation of user-defined body parts with deep learning. Nature Neuroscience. 21(9). 1281–1289. 2550 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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