Yuko Akioka

1.4k total citations
56 papers, 835 citations indexed

About

Yuko Akioka is a scholar working on Nephrology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Yuko Akioka has authored 56 papers receiving a total of 835 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Nephrology, 13 papers in Pulmonary and Respiratory Medicine and 10 papers in Surgery. Recurrent topics in Yuko Akioka's work include Renal Diseases and Glomerulopathies (23 papers), Chronic Kidney Disease and Diabetes (11 papers) and Dialysis and Renal Disease Management (10 papers). Yuko Akioka is often cited by papers focused on Renal Diseases and Glomerulopathies (23 papers), Chronic Kidney Disease and Diabetes (11 papers) and Dialysis and Renal Disease Management (10 papers). Yuko Akioka collaborates with scholars based in Japan, United States and Pakistan. Yuko Akioka's co-authors include Motoshi Hattori, Osamu Uemura, Masataka Honda, Shuichi Ito, Takuhito Nagai, Tetsuji Kaneko, Yoshimitsu Gotoh, Kenji Ishikura, Hiroshi Hataya and Naoya Fujita and has published in prestigious journals such as Journal of Biological Chemistry, Kidney International and American Journal of Kidney Diseases.

In The Last Decade

Yuko Akioka

49 papers receiving 808 citations

Peers

Yuko Akioka
Comparison fields: 5 of 61
  • Nephrology 494
  • Pulmonary and Respiratory Medicine 184
  • Molecular Biology 162
  • Transplantation 121
  • Pediatrics, Perinatology and Child Health 118
Replace Kosaku Nitta with:
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Shuichiro Fujinaga Japan
Emma Allain‐Launay France
Alberto Magnasco Italy
Mysore K. Phanish United Kingdom
Kunio Morozumi Japan
Antonella Trivelli Italy
Joshua Kausman Australia
A Darnell Spain
Kosaku Nitta Japan View profile →
Citations per field, relative to Yuko Akioka
Yuko Akioka · 1×
Citations per year, relative to Yuko Akioka
Yuko Akioka · 1×

Countries citing papers authored by Yuko Akioka

Since Specialization
Citations

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

Fields of papers citing papers by Yuko Akioka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuko Akioka

This figure shows the co-authorship network connecting the top 25 collaborators of Yuko Akioka. A scholar is included among the top collaborators of Yuko Akioka 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 Yuko Akioka. Yuko Akioka 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
# Work Indexed citations
1 0
2 1
3 4
4 3
5 2
6 26
7 23
8 7
9 26
10 187
11 0
12 30
13 24
14 14
15 20
16 8
17 11
18 4
19 79
20 1

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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