Akiko Uemura

882 citations
73 papers · 633 indexed · h-index 14
Topics
Cardiovascular Function and Risk Factors (15 papers)Cardiovascular Conditions and Treatments (15 papers)Congenital Heart Disease Studies (7 papers)
Partner nations
JapanEgyptTürkiye

In The Last Decade

Akiko Uemura

65 papers receiving 625 citations

Peers

Akiko Uemura
Comparison fields: 5 of 87
  • Immunology 191
  • Cardiology and Cardiovascular Medicine 159
  • Agronomy and Crop Science 147
  • Ecology, Evolution, Behavior and Systematics 144
  • Molecular Biology 115
Replace Jianyun Yin with:
Jianyun Yin China
Hironori Abe Japan
Chelsea K. Martin United States
Andreia Espíndola Vieira Brazil
Antonina Akk United States
Alexis V. Forterre France
Xingwei Jiang China
Yong Du United States
Carmen Elena Condrat Romania
Youde Cao China
Akiko Uemura relative to Jianyun Yin China Jianyun Yin's profile →
Citations per field
00.5×10×15×20.6×
Jianyun Yin · 1×
Citations per year

Countries citing papers authored by Akiko Uemura

Since Specialization
Citations

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

Fields of papers citing papers by Akiko Uemura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akiko Uemura

This figure shows the co-authorship network connecting the top 25 collaborators of Akiko Uemura. A scholar is included among the top collaborators of Akiko Uemura 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 Akiko Uemura. Akiko Uemura 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 4
2 2
3 7
4 2
5 3
6 4
7 1
8 9
9 6
10 11
11 17
12 10
13 14
14 2
15 8
16 1
17 3
18 52
19 2
20 13

About Akiko Uemura

Akiko Uemura is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 73 papers that have together received 633 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (15 papers), Cardiovascular Conditions and Treatments (15 papers) and Congenital Heart Disease Studies (7 papers). The work is most often cited by research in Agronomy and Crop Science (147 citations), Immunology (191 citations) and Ecology, Evolution, Behavior and Systematics (144 citations). Akiko Uemura has collaborated with scholars based in Japan, Egypt and Türkiye. Frequent co-authors include Ryou Tanaka, Kazumi Shimada, Kazuyuki Sugahara, Hiroo Hasegawa, Kazuto Tsuruda, Shimeru Kamihira, Yasuaki Yamada, Hitomi Harasawa, Tomohiko Yoshida and Ken Takahashi. Their work appears in journals such as PLoS ONE, Journal of Virology and Scientific Reports.

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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