Aya Kamaya

6.6k citations
161 papers · 4.1k indexed · 2 hit papers · h-index 31
Topics
Hepatocellular Carcinoma Treatment and Prognosis (45 papers)Liver Disease Diagnosis and Treatment (43 papers)Radiomics and Machine Learning in Medical Imaging (26 papers)
Journals
Journal of Clinical OncologySHILAP Revista de lepidopterologíaHepatology

In The Last Decade

Aya Kamaya

153 papers receiving 4.0k citations

Hit Papers

Liver Imaging Reporting and Data System (LI-RADS) Version...201720262020202320182017200400600

Peers

Aya Kamaya
Comparison fields: 5 of 120
  • Hepatology 1.6k
  • Radiology, Nuclear Medicine and Imaging 1.4k
  • Epidemiology 1.2k
  • Surgery 1.0k
  • Pulmonary and Respiratory Medicine 752
Replace Khaled M. Elsayes with:
Khaled M. Elsayes United States
Kathryn J. Fowler United States
Gianpaolo Carrafiello Italy
Aliya Qayyum United States
Elaine M. Caoili United States
B. Gallix France
Alessandro Furlan United States
Rita Golfieri Italy
Seung Soo Lee South Korea
Victoria Chernyak United States
Aya Kamaya relative to Khaled M. Elsayes United States Khaled M. Elsayes's profile →
Citations per field
00.5×1.5×
Khaled M. Elsayes · 1×
Citations per year

Countries citing papers authored by Aya Kamaya

Since Specialization
Citations

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

Fields of papers citing papers by Aya Kamaya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aya Kamaya

This figure shows the co-authorship network connecting the top 25 collaborators of Aya Kamaya. A scholar is included among the top collaborators of Aya Kamaya 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 Aya Kamaya. Aya Kamaya 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
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13 7
14 19
15 12
16 49
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Toward Automated Pre-Biopsy Thyroid Cancer Risk Estimation in Ultrasound.
2
20 70

About Aya Kamaya

Aya Kamaya is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging and Health Informatics, having authored 161 papers that have together received 4.1k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (45 papers), Liver Disease Diagnosis and Treatment (43 papers) and Radiomics and Machine Learning in Medical Imaging (26 papers). The work is most often cited by research in Hepatology (1.6k citations), Health Informatics (96 citations) and Radiology, Nuclear Medicine and Imaging (1.4k citations). Aya Kamaya has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Claude B. Sirlin, Victoria Chernyak, An Tang, Terry S. Desser, R. Brooke Jeffrey, Yuko Kono, Mustafa R. Bashir, Kathryn J. Fowler, Richard Kinh Gian and Donald G. Mitchell. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Hepatology.

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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