Saul Kato

2.3k total citations · 1 hit paper
14 papers, 1.2k citations indexed

About

Saul Kato is a scholar working on Aging, Biophysics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Saul Kato has authored 14 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Aging, 5 papers in Biophysics and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Saul Kato's work include Genetics, Aging, and Longevity in Model Organisms (6 papers), Advanced Fluorescence Microscopy Techniques (4 papers) and Circadian rhythm and melatonin (3 papers). Saul Kato is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (6 papers), Advanced Fluorescence Microscopy Techniques (4 papers) and Circadian rhythm and melatonin (3 papers). Saul Kato collaborates with scholars based in United States, Austria and Switzerland. Saul Kato's co-authors include Manuel Zimmer, L. F. Abbott, Cornelia I. Bargmann, Edward S. Boyden, Alipasha Vaziri, Gordon Wetzstein, Young‐Gyu Yoon, Robert Prevedel, Ramesh Raskar and Maximilian Hoffmann and has published in prestigious journals such as Cell, Neuron and Nature Neuroscience.

In The Last Decade

Saul Kato

11 papers receiving 1.2k citations

Hit Papers

Simultaneous whole-animal 3D imaging of neuronal activity... 2014 2026 2018 2022 2014 100 200 300 400 500

Peers

Saul Kato
Jeffrey N. Stirman United States
Andrew M. Leifer United States
Edward Soucy United States
Marc Gershow United States
Jennifer Li United States
Drew N. Robson United States
Jessica C. Nelson United States
Carsten Duch Germany
Marta Zlatic United States
Jeffrey N. Stirman United States
Saul Kato
Citations per year, relative to Saul Kato Saul Kato (= 1×) peers Jeffrey N. Stirman

Countries citing papers authored by Saul Kato

Since Specialization
Citations

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

Fields of papers citing papers by Saul Kato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saul Kato

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

All Works

14 of 14 papers shown
2.
L’Étoile, Noëlle D., et al.. (2025). Short-term memory by distributed neural network oscillators in a simple nervous system. Current Biology. 35(22). 5582–5593.e4.
3.
Wen, Chentao, Hyun Jee Lee, Ben Dichter, et al.. (2025). Unifying community whole-brain imaging datasets enables robust neuron identification and reveals determinants of neuron position in C. elegans. Cell Reports Methods. 5(1). 100964–100964. 2 indexed citations
4.
Kato, Saul, et al.. (2022). A set of hub neurons and non-local connectivity features support global brain dynamics in C. elegans. Current Biology. 32(16). 3443–3459.e8. 21 indexed citations
5.
Ramkumar, Pavan, et al.. (2022). Hierarchical confounder discovery in the experiment-machine learning cycle. Patterns. 3(4). 100451–100451. 1 indexed citations
6.
Kato, Saul, et al.. (2021). minimo: a linked data and metadata storage system for small labs. The Journal of Open Source Software. 6(60). 2979–2979. 1 indexed citations
7.
Chen, Yiming, Heeun Jang, Perry W.E. Spratt, et al.. (2020). Soma-Targeted Imaging of Neural Circuits by Ribosome Tethering. Neuron. 107(3). 454–469.e6. 48 indexed citations
8.
Antipa, Nick, et al.. (2019). Single-shot 3D fluorescence microscopy with Fourier DiffuserCam. NS2B.3–NS2B.3. 3 indexed citations
9.
Riedl, Julia, Fanny Mende, Saul Kato, et al.. (2016). Regulation of two motor patterns enables the gradual adjustment of locomotion strategy in Caenorhabditis elegans. eLife. 5. 41 indexed citations
10.
Kato, Saul, Harris S. Kaplan, Theodore H. Lindsay, et al.. (2015). Global Brain Dynamics Embed the Motor Command Sequence of Caenorhabditis elegans. Cell. 163(3). 656–669. 294 indexed citations
11.
Prevedel, Robert, Young‐Gyu Yoon, Maximilian Hoffmann, et al.. (2014). Simultaneous whole-animal 3D imaging of neuronal activity using light-field microscopy. Nature Methods. 11(7). 727–730. 515 indexed citations breakdown →
12.
Prevedel, Robert, Young‐Gyu Yoon, Maximilian Hoffmann, et al.. (2014). Simultaneous whole-animal 3D-imaging of neuronal activity using light field microscopy. DSpace@MIT (Massachusetts Institute of Technology).
13.
Kato, Saul, et al.. (2014). Temporal Responses of C. elegans Chemosensory Neurons Are Preserved in Behavioral Dynamics. Neuron. 81(3). 616–628. 89 indexed citations
14.
Chalasani, Sreekanth H., Saul Kato, Dirk R. Albrecht, et al.. (2010). Neuropeptide feedback modifies odor-evoked dynamics in Caenorhabditis elegans olfactory neurons. Nature Neuroscience. 13(5). 615–621. 181 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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