Jonathan Kato

1.4k citations
7 papers · 354 · h-index 4

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
  • Physiology top 10%
    • Telomeres, Telomerase, and Senescence
    • Diet and metabolism studies
    • Dietary Effects on Health

Papers in

    • DNA Repair Mechanisms 2
    • Epigenetics and DNA Methylation 1
    • Viral Infectious Diseases and Gene Expression in Insects 1
    • Diet and metabolism studies 1
    • Telomeres, Telomerase, and Senescence 1

Jonathan Kato

7 papers receiving 353 citations

Peers

Jonathan Kato
Comparison fields: 5 of 60
  • Aging 56
  • Physiology 194
  • Biological Psychiatry 11
  • Endocrine and Autonomic Systems 27
  • Immunology 65
Replace Luise Angelini with:
Luise Angelini United States
James Shoaf United States
Nadja Gebert Germany
Dominic Bennett United Kingdom
Vaja Chipashvili United States
Alfred K. Ramirez United States
Xurde M. Caravia Spain
Laura Clavaín Spain
Ilias Gkikas Greece
Laure Maneix United States
Jonathan Kato relative to Luise Angelini United States Luise Angelini's profile →
Citations per field
00.5×1.5×
Luise Angelini · 1×
Citations per year

Countries citing papers authored by Jonathan Kato

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Kato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2020237
2 202182
3 202025
4 20225
5 19983
6 20221
7 20231

About Jonathan Kato

Jonathan Kato is a scholar working on Molecular Biology, Physiology, Critical Care and Intensive Care Medicine, Neurology and Endocrine and Autonomic Systems, having authored 7 papers that have together received 354 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (2 papers), Diet and metabolism studies (1 paper), Eicosanoids and Hypertension Pharmacology (1 paper), Traumatic Brain Injury and Neurovascular Disturbances (1 paper), Epigenetics and DNA Methylation (1 paper), Telomeres, Telomerase, and Senescence (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and Circadian rhythm and melatonin (1 paper). The work is most often cited by research in Aging (56 citations), Physiology (194 citations), Biological Psychiatry (11 citations), Endocrine and Autonomic Systems (27 citations) and Immunology (65 citations). Jonathan Kato has collaborated with scholars based in United States, Belgium and Australia. Frequent co-authors include Mariah F. Calubag, Matthew J. Yousefzadeh, Jing Zhao, Luise Angelini, Sara J. McGowan, Aditi U. Gurkar, Christin E. Burd, Paul D. Robbins, Laura J. Niedernhofer and Michel Bernier. Their work appears in journals such as Nature Communications, Aging Cell, Shock, Cancer Research and Free Radical Biology and Medicine.

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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