Hiroko Okuda

2.0k citations
50 papers · 1.3k indexed · h-index 19
Topics
Moyamoya disease diagnosis and treatment (8 papers)Ion channel regulation and function (8 papers)Peripheral Artery Disease Management (6 papers)
Partner nations
JapanChinaUnited States

In The Last Decade

Hiroko Okuda

46 papers receiving 1.2k citations

Peers

Hiroko Okuda
Comparison fields: 5 of 107
  • Molecular Biology 383
  • Rheumatology 375
  • Neurology 359
  • Cellular and Molecular Neuroscience 232
  • Genetics 180
Replace Javier Ruiz‐Martínez with:
Javier Ruiz‐Martínez Spain
Yves de Keyzer France
Bruno Maranda Canada
Ramesh C. Juyal India
Vladimir Vinarsky United States
Nancy Wu United States
Milton R. Brown United States
Daojun Hong China
Jonathan M. Peterson United States
Cecilia Rojas Chile
Hiroko Okuda relative to Javier Ruiz‐Martínez Spain Javier Ruiz‐Martínez's profile →
Citations per field
00.5×5.9×
Javier Ruiz‐Martínez · 1×
Citations per year

Countries citing papers authored by Hiroko Okuda

Since Specialization
Citations

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

Fields of papers citing papers by Hiroko Okuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroko Okuda

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroko Okuda. A scholar is included among the top collaborators of Hiroko Okuda based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hiroko Okuda. Hiroko Okuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 5
3 2
4 3
5 6
6 29
7 9
8 2
9
Paroxysmal limb intolerable pain (infantile pain episodes associated with novel Nav1.9 mutations in familial episodic pain syndrome).
1
10 1
11 0
12 94
13 18
14 48
15 56
16 9
17 2
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19 6
20 2

About Hiroko Okuda

Hiroko Okuda is a scholar working on Cellular and Molecular Neuroscience, Rheumatology and Developmental Biology, having authored 50 papers that have together received 1.3k indexed citations. Recurring topics across this work include Moyamoya disease diagnosis and treatment (8 papers), Ion channel regulation and function (8 papers) and Peripheral Artery Disease Management (6 papers). The work is most often cited by research in Rheumatology (375 citations), Neurology (359 citations) and Cellular and Molecular Neuroscience (232 citations). Hiroko Okuda has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Hatasu Kobayashi, Toshiaki Hitomi, Akio Koizumi, Kouji H. Harada, Toshiyuki Habu, Wanyang Liu, Yuji Akechi, Tohru Matsuura, Kōji Abe and Yoshio Ikeda. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Journal of 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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