Hiroyuki Akai

4.3k citations
97 papers · 3.2k indexed · 1 hit paper · h-index 28
Topics
Advanced MRI Techniques and Applications (17 papers)Radiomics and Machine Learning in Medical Imaging (14 papers)MRI in cancer diagnosis (13 papers)

In The Last Decade

Hiroyuki Akai

88 papers receiving 3.1k citations

Hit Papers

Deep Learning with Convolutional Neural Network for Diffe...20172026202020232017100200300400

Peers

Hiroyuki Akai
Comparison fields: 5 of 147
  • Radiology, Nuclear Medicine and Imaging 1.8k
  • Biomedical Engineering 760
  • Hepatology 655
  • Epidemiology 564
  • Surgery 451
Replace Shigeru Kiryu with:
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Hiroyuki Akai relative to Shigeru Kiryu Japan Shigeru Kiryu's profile →
Citations per field
00.5×1.5×
Shigeru Kiryu · 1×
Citations per year

Countries citing papers authored by Hiroyuki Akai

Since Specialization
Citations

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

Fields of papers citing papers by Hiroyuki Akai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroyuki Akai

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroyuki Akai. A scholar is included among the top collaborators of Hiroyuki Akai 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 Hiroyuki Akai. Hiroyuki Akai 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 12
3 0
4 1
5 4
6 14
7 26
8 1
9 15
10 17
11 49
12 34
13 86
14
Functional recovering of fibroin secretion in transgenic silk glands from Nd-sD mutant of Bombyx mori
1
15 38
16
Anti-bacterial function of natural silk materials
18
17
Fine structure of cocoon and cocoon filament from African Gonometa Silk moth (Lasiocampidae)
1
18
Structural and ultrastructural changes of liquid silk in silk gland of the Indian tasar silkworm, Antheraea mylitta
2
19 2
20 6

About Hiroyuki Akai

Hiroyuki Akai is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 97 papers that have together received 3.2k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (17 papers), Radiomics and Machine Learning in Medical Imaging (14 papers) and MRI in cancer diagnosis (13 papers). The work is most often cited by research in Health Informatics (131 citations), Hepatology (655 citations) and Radiology, Nuclear Medicine and Imaging (1.8k citations). Hiroyuki Akai has collaborated with scholars based in Japan, United States and Hungary. Frequent co-authors include Koichiro Yasaka, Shigeru Kiryu, Osamu Abe, Akira Kunimatsu, Kuni Ohtomo, Masaaki Akahane, Izuru Matsuda, Taku Tajima, Jiro Sato and Masaki Katsura. Their work appears in journals such as PLoS ONE, Gut 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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