Chieko Azuma

17 papers receiving 567 citations

Peers

Chieko Azuma
Comparison fields: 5 of 86
  • Reproductive Medicine 62
  • Radiology, Nuclear Medicine and Imaging 135
  • Small Animals 46
  • Developmental Biology 13
  • Biomaterials 59
Replace Sebastiaan Alexander van Nimwegen with:
Sebastiaan Alexander van Nimwegen Netherlands
David J. Swanlund United States
Shun Shibata Japan
Keisuke Handa Japan
Ehsan Sharif‐Paghaleh United Kingdom
Benjamin F. Edwards United States
Tina Bjørnlund Bønsdorff Norway
Young-Jae Lee South Korea
Anne C. van Leeuwen Netherlands
Steven Machtaler United States
Chieko Azuma relative to Sebastiaan Alexander van Nimwegen Netherlands Sebastiaan Alexander van Nimwegen's profile →
Citations per field
00.5×2×4×6×8.9×
Sebastiaan Alexander van Nimwegen · 1×
Citations per year

Countries citing papers authored by Chieko Azuma

Since Specialization
Citations

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

Fields of papers citing papers by Chieko Azuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chieko Azuma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chieko Azuma Line = papers co-authored together Chieko Azuma links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 200583
2
Hyperthermia increases accumulation of technetium-99m-labeled liposomes in feline sarcomas.
200082
3 200582
4 200961
5 200055
6 200743
7 199741
8 200637
9
Distribution of Irrawaddy dolphins, Orcaella brevirostris, in Australian waters
200228
10 200725
11 200625
12 200825
13 200913
14 20067
15 20153
16 19752
17 20231
18 20220

About Chieko Azuma

Chieko Azuma is a scholar working on Pulmonary and Respiratory Medicine, Small Animals, Radiology, Nuclear Medicine and Imaging, Cancer Research and Microbiology, having authored 18 papers that have together received 613 indexed citations. Recurring topics across this work include Veterinary Oncology Research (7 papers), Medical Imaging Techniques and Applications (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Ultrasound and Hyperthermia Applications (2 papers), Veterinary Orthopedics and Neurology (1 paper), Myasthenia Gravis and Thymoma (1 paper) and Cancer Diagnosis and Treatment (1 paper). The work is most often cited by research in Reproductive Medicine (62 citations), Radiology, Nuclear Medicine and Imaging (135 citations), Small Animals (46 citations), Developmental Biology (13 citations) and Biomaterials (59 citations). Chieko Azuma has collaborated with scholars based in United States, Australia and Sweden. Frequent co-authors include Donald E. Thrall, Gary L. Rosner, Mark W. Dewhirst, Jean M. Poulson, Erica C. Henning, Karl G. Helmer, Christopher H. Sotak, Beth C. Case, Susan M. LaRue and Paul E. Fisher. Their work appears in journals such as Veterinary Radiology & Ultrasound, Magnetic Resonance in Medicine, Clinical Cancer Research, Radiotherapy and Oncology and Journal of the American Veterinary Medical Association.

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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