S. Higa

405 citations
9 papers · 325 · h-index 6

Impact in

Papers in

    • Amyloidosis: Diagnosis, Treatment, Outcomes 6
    • Protein Kinase Regulation and GTPase Signaling 3
    • Ion channel regulation and function 1
    • Endoplasmic Reticulum Stress and Disease 1

S. Higa

9 papers receiving 316 citations

Peers

S. Higa
Comparison fields: 5 of 64
  • Endocrine and Autonomic Systems 181
  • Cellular and Molecular Neuroscience 83
  • Behavioral Neuroscience 16
  • Cognitive Neuroscience 74
  • Physiology 68
Replace Cheryl Nissen with:
Cheryl Nissen United States
Mika Chikamori‐Aoyama Japan
Antonia Van Bueren United States
Floy L. Crutchfield United States
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C. Allweis Israel
Bianca C. Field United States
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Citations per field
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Citations per year

Countries citing papers authored by S. Higa

Since Specialization
Citations

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

Fields of papers citing papers by S. Higa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 1983192
2 198235
3 200233
4 198032
5
Genetic studies of familial amyloid polyneuropathy in the Arao district of Japan: I. The genealogical survey.
198318
6 19767
7 19874
8 19883
9 19841

About S. Higa

S. Higa is a scholar working on Molecular Biology, Cell Biology, Physiology, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 9 papers that have together received 325 indexed citations. Recurring topics across this work include Amyloidosis: Diagnosis, Treatment, Outcomes (6 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Alzheimer's disease research and treatments (2 papers), Ion channel regulation and function (1 paper), Endometriosis Research and Treatment (1 paper), Hereditary Neurological Disorders (1 paper), Reproductive System and Pregnancy (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (181 citations), Cellular and Molecular Neuroscience (83 citations), Behavioral Neuroscience (16 citations), Cognitive Neuroscience (74 citations) and Physiology (68 citations). S. Higa has collaborated with scholars based in Japan, United States and Pakistan. Frequent co-authors include Sanford P. Markey, D.M. Jacobowitz, David C. Klein, James L. Weller, Rory L. Smoot, G. Joseph Creed, T. Suzuki, Akira Nakajima, Saburo Sakoda and Atsushi Hayashi. Their work appears in journals such as European Journal of Clinical Pharmacology, Journal of Neural Transmission, The American Journal of Chinese Medicine, Brain Research Bulletin and European Neurology.

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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