Akihiro Ichikawa

48 total papers · 1.5k total citations
22 papers, 246 citations indexed

About

Akihiro Ichikawa is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Akihiro Ichikawa has authored 22 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Pulmonary and Respiratory Medicine and 4 papers in Epidemiology. Recurrent topics in Akihiro Ichikawa's work include Medical Imaging Techniques and Applications (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Lung Cancer Diagnosis and Treatment (3 papers). Akihiro Ichikawa is often cited by papers focused on Medical Imaging Techniques and Applications (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Lung Cancer Diagnosis and Treatment (3 papers). Akihiro Ichikawa collaborates with scholars based in Japan, United States and China. Akihiro Ichikawa's co-authors include Koji Higai, Kojiro Matsumoto, Norihisa Tonami, Shigenori E. Nagai, Ichiei Kuji, Toshio Tabei, Izumi Takeyoshi, Kenichi Inoue, Jun Horiguchi and Naoki Kobayashi and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Radiation Oncology*Biology*Physics and Biochimica et Biophysica Acta (BBA) - General Subjects.

In The Last Decade

Akihiro Ichikawa

22 papers receiving 242 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Akihiro Ichikawa	79	61	52	51	50	22	246
Jun Chen	65 0.8×	43 0.7×	85 1.6×	54 1.1×	78 1.6×	18	285
Lei Tang	69 0.9×	46 0.8×	83 1.6×	22 0.4×	63 1.3×	29	321
Julia Chalaye	113 1.4×	51 0.8×	50 1.0×	69 1.4×	49 1.0×	23	319
Hong Yang	57 0.7×	76 1.2×	93 1.8×	40 0.8×	43 0.9×	25	262
Xi Wang	33 0.4×	63 1.0×	72 1.4×	26 0.5×	87 1.7×	33	263
Seung Jin Choi	117 1.5×	40 0.7×	50 1.0×	27 0.5×	26 0.5×	25	294
Kai Zhang	45 0.6×	63 1.0×	114 2.2×	33 0.6×	124 2.5×	26	326
Jingliang Ruan	119 1.5×	38 0.6×	26 0.5×	29 0.6×	36 0.7×	15	302
Yumei Zhang	29 0.4×	68 1.1×	97 1.9×	34 0.7×	80 1.6×	27	282
Shaveta Mehta	48 0.6×	94 1.5×	150 2.9×	32 0.6×	69 1.4×	20	299

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

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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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