Saul Kato

2.3k citations
14 papers · 1.2k indexed · 1 hit paper · h-index 7
Topics
Genetics, Aging, and Longevity in Model Organisms (6 papers)Advanced Fluorescence Microscopy Techniques (4 papers)Circadian rhythm and melatonin (3 papers)

In The Last Decade

Saul Kato

11 papers receiving 1.2k citations

Hit Papers

Simultaneous whole-animal 3D imaging of neuronal activity...20142026201820222014100200300400500

Peers

Saul Kato
Comparison fields: 5 of 99
  • Aging 444
  • Cellular and Molecular Neuroscience 400
  • Endocrine and Autonomic Systems 344
  • Biophysics 281
  • Cognitive Neuroscience 245
Replace Jeffrey N. Stirman with:
Jeffrey N. Stirman United States
Andrew M. Leifer United States
Maximilian Hoffmann Germany
Johannes D. Seelig Germany
Clay Lacefield United States
Aaron Kerlin United States
Jennifer Li United States
Samuel Yang United States
Drew N. Robson United States
Dierk F. Reiff Germany
Saul Kato relative to Jeffrey N. Stirman United States Jeffrey N. Stirman's profile →
Citations per field
00.5×1.7×
Jeffrey N. Stirman · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 0
3 2
4 21
5 1
6 1
7 48
8 3
9 41
10 294
11
Simultaneous whole-animal 3D imaging of neuronal activity using light-field microscopybreakdown →
515
12 0
13 89
14 181

About Saul Kato

Saul Kato is a scholar working on Aging, Biophysics and Structural Biology, having authored 14 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (6 papers), Advanced Fluorescence Microscopy Techniques (4 papers) and Circadian rhythm and melatonin (3 papers). The work is most often cited by research in Aging (444 citations), Endocrine and Autonomic Systems (344 citations) and Biophysics (281 citations). Saul Kato has collaborated with scholars based in United States, Austria and Switzerland. Frequent 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. Their work appears in journals such as Cell, Neuron and Nature Neuroscience.

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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