Machiko Asaka

516 citations
11 papers · 285 indexed · h-index 3
Topics
Heart Failure Treatment and Management (2 papers)Barrier Structure and Function Studies (1 paper)Autophagy in Disease and Therapy (1 paper)
Partner nations
Japan

In The Last Decade

Machiko Asaka

9 papers receiving 282 citations

Peers

Machiko Asaka
Comparison fields: 5 of 60
  • Endocrinology, Diabetes and Metabolism 144
  • Molecular Biology 106
  • Surgery 57
  • Physiology 50
  • Epidemiology 41
Replace Geannyne Villegas-Rivera with:
Geannyne Villegas-Rivera Mexico
Anindya Ghosh Canada
Rosa Falcón Spain
Silvia Holod Argentina
Eugene Shin South Korea
Shuo Pan China
Mingfeng Cao China
Nengxian Shi China
Abu R. Vasudevan United States
Emanuela Zarra Italy
Machiko Asaka relative to Geannyne Villegas-Rivera Mexico Geannyne Villegas-Rivera's profile →
Citations per field
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Citations per year

Countries citing papers authored by Machiko Asaka

Since Specialization
Citations

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

Fields of papers citing papers by Machiko Asaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Machiko Asaka

This figure shows the co-authorship network connecting the top 25 collaborators of Machiko Asaka. A scholar is included among the top collaborators of Machiko Asaka 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 Machiko Asaka. Machiko Asaka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 0
2 1
3 1
4 1
5 1
6 226
7 36
8 0
9 16
10
[Thrombosis of the abdominal aorta in a patient with nephrotic syndrome].
2
11
[Advance of endoscopic surgery--practical technique by video and its replacement of conventional surgery].
1

About Machiko Asaka

Machiko Asaka is a scholar working on Geriatrics and Gerontology, Cardiology and Cardiovascular Medicine and Anesthesiology and Pain Medicine, having authored 11 papers that have together received 285 indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (2 papers), Barrier Structure and Function Studies (1 paper) and Autophagy in Disease and Therapy (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (144 citations), Geriatrics and Gerontology (17 citations) and Clinical Biochemistry (14 citations). Machiko Asaka has collaborated with scholars based in Japan. Frequent co-authors include Tetsuaki Hirase, Koichi Node, Masashi Sakuma, Aya Shiraki, Yoshiko Sakamoto, Jun‐ichi Oyama, Norihiko Kotooka, Kazuhisa Kodama, Hiroshi Komoda and Shunsuke Fujimoto. Their work appears in journals such as European Heart Journal, American Journal of Physiology-Cell Physiology and Atherosclerosis.

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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