Joy Matsui

608 citations
12 papers · 450 · h-index 8

Impact in

Papers in

Joy Matsui

11 papers receiving 447 citations

Peers

Joy Matsui
Comparison fields: 5 of 60
  • Radiology, Nuclear Medicine and Imaging 273
  • Computational Mathematics 5
  • Cognitive Neuroscience 111
  • Cellular and Molecular Neuroscience 91
  • Pediatrics, Perinatology and Child Health 78
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Daniel Franc United States
Elizabeth Zakszewski United States
Greg D. Parker United Kingdom
Zhexing Liu China
Marilyn Albert United States
Sigrid Reuter Germany
Jeroen Mollink United Kingdom
Hikaru Fukutomi Japan
Jun Yi Wang United States
Yanqing Tang China
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Citations per field
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Citations per year

Countries citing papers authored by Joy Matsui

Since Specialization
Citations

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

Fields of papers citing papers by Joy Matsui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2014204
2 201261
3 201454
4 201345
5 201543
6 201310
7 201310
8 201110
9 20157
10 20133
11 20222
12
[A case of endobronchial tuberculosis with peripheral mucoid impaction showing a solitary pulmonary nodular shadow].
19961

About Joy Matsui

Joy Matsui is a scholar working on Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience, Pediatrics, Perinatology and Child Health, Cognitive Neuroscience and Molecular Biology, having authored 12 papers that have together received 450 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (10 papers), Advanced MRI Techniques and Applications (6 papers), Fetal and Pediatric Neurological Disorders (2 papers), Genetic Neurodegenerative Diseases (2 papers), Functional Brain Connectivity Studies (2 papers), MRI in cancer diagnosis (1 paper), Cardiovascular Health and Disease Prevention (1 paper) and Liver Disease and Transplantation (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (273 citations), Computational Mathematics (5 citations), Cognitive Neuroscience (111 citations), Cellular and Molecular Neuroscience (91 citations) and Pediatrics, Perinatology and Child Health (78 citations). Joy Matsui has collaborated with scholars based in United States, Chile and China. Frequent co-authors include Hans J. Johnson, Mahshid Farzinfar, Guido Gerig, Martin Styner, François Budin, İpek Oğuz, Zhexing Liu, Vincent A. Magnotta, Jane S. Paulsen and Jatin G. Vaidya. Their work appears in journals such as Human Brain Mapping, Frontiers in Neuroinformatics, Frontiers in Human Neuroscience, Brain Connectivity and Psychiatry Research Neuroimaging.

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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