Go Kato

1.4k citations
60 papers · 1.1k · h-index 19

Impact in

  • Physiology top 5%
    • Pain Mechanisms and Treatments
    • Asthma and respiratory diseases
    • Neuroscience and Neuropharmacology Research
    • Neuropeptides and Animal Physiology
    • Neurobiology and Insect Physiology Research

Papers in

Go Kato

56 papers receiving 1.1k citations

Peers

Go Kato
Comparison fields: 5 of 94
  • Physiology 602
  • Cellular and Molecular Neuroscience 380
  • Neurology 136
  • Developmental Neuroscience 50
  • Biological Psychiatry 27
Replace Alexander Chamessian with:
Alexander Chamessian United States
Ada Delaney United Kingdom
Josiane C.S. Mapplebeck Canada
Imre Farkas Hungary
Shuanglin Hao United States
Elizabeth I. Sypek United States
Ricardo Kusuda Brazil
Jamie K. Moy United States
Isabelle Brunet France
Kim H. Harris Canada
Go Kato relative to Alexander Chamessian United States Alexander Chamessian's profile →
Citations per field
00.5×
Alexander Chamessian · 1×
Citations per year

Countries citing papers authored by Go Kato

Since Specialization
Citations

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

Fields of papers citing papers by Go Kato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Go Kato, 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 Go Kato Line = papers co-authored together Go Kato links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007110
2 201697
3 200697
4 200588
5 201777
6 200952
7 200844
8 200337
9 201636
10 200430
11 201329
12 200526
13 201924
14 201524
15 201323
16 200721
17 201121
18 201920
19 201818
20 201417

About Go Kato

Go Kato is a scholar working on Physiology, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine, Surgery and Immunology, having authored 60 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (16 papers), Musculoskeletal pain and rehabilitation (8 papers), Spine and Intervertebral Disc Pathology (8 papers), Neuroscience and Neuropharmacology Research (7 papers), Asthma and respiratory diseases (6 papers), Ion channel regulation and function (6 papers), Neurobiology and Insect Physiology Research (5 papers) and IL-33, ST2, and ILC Pathways (5 papers). The work is most often cited by research in Physiology (602 citations), Cellular and Molecular Neuroscience (380 citations), Neurology (136 citations), Developmental Neuroscience (50 citations) and Biological Psychiatry (27 citations). Go Kato has collaborated with scholars based in Japan, United States and Israel. Frequent co-authors include Megumu Yoshimura, Hidemasa Furue, Toshihiko Katafuchi, Toshiharu Yasaka, Akihiro Tamae, Andrew M. Strassman, Koichiro Takahashi, Shinya Kimura, Hiroki Tashiro and Kohei Koga. Their work appears in journals such as The Journal of Physiology, PLoS ONE, Journal of Neuroscience, Journal of Fish Diseases and 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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