Kana Hamada

446 citations
13 papers · 328 · h-index 7

Impact in

  • Physiology top 10%
    • Lysosomal Storage Disorders Research
    • Calcium signaling and nucleotide metabolism
    • Alzheimer's disease research and treatments
  • Neurology top 10%
    • Parkinson's Disease Mechanisms and Treatments
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Kana Hamada

13 papers receiving 327 citations

Peers

Kana Hamada
Comparison fields: 5 of 63
  • Physiology 48
  • Neurology 111
  • Neurology 49
  • Physiology 96
  • Cell Biology 61
Replace Jia Hao with:
Jia Hao China
Yuta Ishiguro Japan
Xin Heng China
K. Mao China
Cristina Gómez-Santos Spain
Lina A. Matschke Germany
Verena May Germany
Kelby M. Killoy United States
Mariusz Berdyński Poland
Alexia Paucard France
Kana Hamada relative to Jia Hao China Jia Hao's profile →
Citations per field
00.5×1.5×2.5×
Jia Hao · 1×
Citations per year

Countries citing papers authored by Kana Hamada

Since Specialization
Citations

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

Fields of papers citing papers by Kana Hamada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2014141
2 2019119
3 202118
4 202112
5 20198
6 20177
7 20226
8 20165
9 20214
10 20204
11 20222
12 20231
13 20241

About Kana Hamada

Kana Hamada is a scholar working on Immunology and Allergy, Molecular Biology, Neurology, Pulmonary and Respiratory Medicine and Neurology, having authored 13 papers that have together received 328 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (2 papers), Allergic Rhinitis and Sensitization (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Cellular transport and secretion (2 papers), Food Allergy and Anaphylaxis Research (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Asthma and respiratory diseases (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Physiology (48 citations), Neurology (111 citations), Neurology (49 citations), Physiology (96 citations) and Cell Biology (61 citations). Kana Hamada has collaborated with scholars based in United States and Japan. Frequent co-authors include Taiji Tsunemi, Dimitri Krainc, Zhong Xie, Sohee Jeon, Joseph R. Mazzulli, Tamara Perez‐Rosello, Wado Akamatsu, D. James Surmeier, Nobutaka Hattori and Yuta Ishiguro. Their work appears in journals such as Journal of Neuroscience, Genes Brain & Behavior, Neurotherapeutics, Pediatric Allergy and Immunology and Translational Psychiatry.

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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