Akihiro Ichikawa

1.5k citations
22 papers · 248 indexed · h-index 9
Topics
Medical Imaging Techniques and Applications (5 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)Autophagy in Disease and Therapy (3 papers)
Partner nations
JapanChinaUnited States

In The Last Decade

Akihiro Ichikawa

22 papers receiving 244 citations

Peers

Akihiro Ichikawa
Comparison fields: 5 of 60
  • Radiology, Nuclear Medicine and Imaging 79
  • Cancer Research 61
  • Molecular Biology 53
  • Epidemiology 51
  • Oncology 50
Replace Julia Chalaye with:
Julia Chalaye France
Wenhui Li China
Jiaping Zheng China
S. Watanuki Japan
Aman Saini United States
Seema Gupta India
Lisha Lai China
Mohamed Khettab France
Akihiro Ichikawa relative to Julia Chalaye France Julia Chalaye's profile →
Citations per field
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Citations per year

Countries citing papers authored by Akihiro Ichikawa

Since Specialization
Citations

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

Fields of papers citing papers by Akihiro Ichikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akihiro Ichikawa

This figure shows the co-authorship network connecting the top 25 collaborators of Akihiro Ichikawa. A scholar is included among the top collaborators of Akihiro Ichikawa 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 Akihiro Ichikawa. Akihiro Ichikawa 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 5
2 11
3 1
4 17
5 1
6 1
7 1
8 56
9 16
10 33
11 5
12 17
13 6
14 2
15 9
16 6
17 18
18 7
19 5
20 2

About Akihiro Ichikawa

Akihiro Ichikawa is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Radiation, having authored 22 papers that have together received 248 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Autophagy in Disease and Therapy (3 papers). The work is most often cited by research in Cancer Research (61 citations), Radiology, Nuclear Medicine and Imaging (79 citations) and Oncology (50 citations). Akihiro Ichikawa has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Kojiro Matsumoto, Koji Higai, Norihisa Tonami, Masafumi Kurosumi, Hiroyuki Takei, Naoki Kobayashi, Shigenori E. Nagai, Ichiei Kuji, Yuji Hayashi and Kenichi Inoue. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Radiation Oncology*Biology*Physics and Biochimica et Biophysica Acta (BBA) - General Subjects.

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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