Sayuri Sakamoto

763 citations
21 papers · 617 indexed · h-index 12
Topics
Respiratory and Cough-Related Research (13 papers)Asthma and respiratory diseases (12 papers)Inhalation and Respiratory Drug Delivery (9 papers)
Partner nations
JapanGermany

In The Last Decade

Sayuri Sakamoto

20 papers receiving 581 citations

Peers

Sayuri Sakamoto
Comparison fields: 5 of 65
  • Pulmonary and Respiratory Medicine 514
  • Physiology 505
  • Sensory Systems 71
  • Emergency Medical Services 70
  • Gastroenterology 50
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Citations per field
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Citations per year

Countries citing papers authored by Sayuri Sakamoto

Since Specialization
Citations

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

Fields of papers citing papers by Sayuri Sakamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sayuri Sakamoto

This figure shows the co-authorship network connecting the top 25 collaborators of Sayuri Sakamoto. A scholar is included among the top collaborators of Sayuri Sakamoto 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 Sayuri Sakamoto. Sayuri Sakamoto 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 6
2 15
3 82
4 6
5
[Eosinophil activation evaluated by using a anti-human secreted form of ECP antibody (EG2)].
0
6 31
7 9
8 18
9 118
10 88
11 57
12 21
13 3
14 18
15
[Late asthmatic response by recruitment of homocytotropic antibody from circulating blood to the airway wall in guinea pig].
1
16 36
17
[Relationship between cough threshold to inhaled tartaric acid and sex, smoking and atopy in humans].
6
18
[Effect of deep inspiration on maximum expiratory flow (Vmax) depends on basal bronchomotor tone in young healthy females].
3
19 78
20 17

About Sayuri Sakamoto

Sayuri Sakamoto is a scholar working on Physiology, Pulmonary and Respiratory Medicine and Endocrine and Autonomic Systems, having authored 21 papers that have together received 617 indexed citations. Recurring topics across this work include Respiratory and Cough-Related Research (13 papers), Asthma and respiratory diseases (12 papers) and Inhalation and Respiratory Drug Delivery (9 papers). The work is most often cited by research in Physiology (505 citations), Pulmonary and Respiratory Medicine (514 citations) and Sensory Systems (71 citations). Sayuri Sakamoto has collaborated with scholars based in Japan and Germany. Frequent co-authors include Yumie Kamio, M Fujimura, T Matsuda, Masaki Fujimura, Tamotsu Matsuda, Kazuyoshi Kurashima, Yasushi Miyake, Yohei Miyake, Masahide Yasui and Kiyoto Nishi. Their work appears in journals such as CHEST Journal, European Respiratory Journal and Thorax.

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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