Aya Kamaya

6.6k total citations · 2 hit papers
161 papers, 4.1k citations indexed

About

Aya Kamaya is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology and Epidemiology. According to data from OpenAlex, Aya Kamaya has authored 161 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Radiology, Nuclear Medicine and Imaging, 52 papers in Hepatology and 48 papers in Epidemiology. Recurrent topics in Aya Kamaya's 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). Aya Kamaya is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (45 papers), Liver Disease Diagnosis and Treatment (43 papers) and Radiomics and Machine Learning in Medical Imaging (26 papers). Aya Kamaya collaborates with scholars based in United States, Canada and South Korea. Aya Kamaya's 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 and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Hepatology.

In The Last Decade

Aya Kamaya

153 papers receiving 4.0k citations

Hit Papers

Liver Imaging Reporting and Data System (LI-RADS) Version... 2017 2026 2020 2023 2018 2017 200 400 600

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 Hervé Trillaud with:
Hervé Trillaud France
Aliya Qayyum United States
Victoria Chernyak United States
Khaled M. Elsayes United States
Boris Guiu France
Sanjeeva P. Kalva United States
Glenn A. Krinsky United States
Boris Nikolic United States
Gianpaolo Carrafiello Italy
Vahid Yaghmai United States
Hervé Trillaud France View profile →
Citations per field, relative to Aya Kamaya
Aya Kamaya · 1×
Citations per year, relative to Aya Kamaya
Aya Kamaya · 1×

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
# Work Indexed citations
1 0
2 0
3 0
4 5
5 3
6 2
7 4
8 4
9 1
10 2
11 1
12 2
13 7
14 19
15 12
16 49
17 29
18 16
19
Toward Automated Pre-Biopsy Thyroid Cancer Risk Estimation in Ultrasound.
2
20 70

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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