Kaoru Katoh

1.5k citations
52 papers · 1.3k · 1 hit paper · h-index 20

Impact in

Papers in

Kaoru Katoh

50 papers receiving 1.2k citations

Kaoru Katoh's Hit Papers

Protein lactylation induced by neural excitation 2021 · 275 citations
2750+1+3Years since publication50100150200250

Peers

Kaoru Katoh
Comparison fields: 5 of 103
  • Cell Biology 274
  • Biophysics 65
  • Cellular and Molecular Neuroscience 112
  • Cancer Research 86
  • Condensed Matter Physics 67
Replace Sivaraj Sivaramakrishnan with:
Sivaraj Sivaramakrishnan United States
Chung Yu Chan United States
Leo Q. Wan United States
David Pastré France
Denise M. Ferkey United States
Benjamin D. Mangum United States
Yusuke Toyama Singapore
Zdeněk Lánský Czechia
Anaclet Ngezahayo Germany
Jinghui Guo China
Kaoru Katoh relative to Sivaraj Sivaramakrishnan United States Sivaraj Sivaramakrishnan's profile →
Citations per field
00.5×2×4×5.4×
Sivaraj Sivaramakrishnan · 1×
Citations per year

Countries citing papers authored by Kaoru Katoh

Since Specialization
Citations

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

Fields of papers citing papers by Kaoru Katoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kaoru Katoh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kaoru Katoh Line = papers co-authored together Kaoru Katoh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Protein lactylation induced by neural excitation
Hit paper breakdown →
2021275
2 1999103
3 200165
4 201750
5 202150
6 200044
7 202043
8 200640
9 200638
10 200733
11 199932
12 201932
13 199431
14 199731
15 200328
16 201728
17 201625
18 201825
19 200523
20 202021

About Kaoru Katoh

Kaoru Katoh is a scholar working on Cell Biology, Cellular and Molecular Neuroscience, Biophysics, Physiology and Molecular Biology, having authored 52 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (10 papers), Plant and Biological Electrophysiology Studies (6 papers), Microtubule and mitosis dynamics (5 papers), Axon Guidance and Neuronal Signaling (4 papers), Digital Holography and Microscopy (4 papers), Lipid Membrane Structure and Behavior (4 papers), Advanced Materials and Mechanics (4 papers) and Ion Channels and Receptors (3 papers). The work is most often cited by research in Cell Biology (274 citations), Biophysics (65 citations), Cellular and Molecular Neuroscience (112 citations), Cancer Research (86 citations) and Condensed Matter Physics (67 citations). Kaoru Katoh has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Rudolf Oldenbourg, Hirotaka Shoji, Hideo Hagihara, Atsushi Toyoda, Masakazu Namihira, Hikari Otabi, Tsuyoshi Miyakawa, Katherine M. Hammar, Peter J. Smith and Takuya Ohzono. Their work appears in journals such as Scientific Reports, Nature Communications, Journal of Experimental Biology, PROTOPLASMA and Cell Reports.

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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