Mayu Uka

694 citations
61 papers · 434 · h-index 11

Impact in

  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Lung Cancer Diagnosis and Treatment
    • Medical Imaging and Pathology Studies
    • Renal cell carcinoma treatment
    • Pleural and Pulmonary Diseases
    • Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis

Papers in

Mayu Uka

50 papers receiving 428 citations

Peers

Mayu Uka
Comparison fields: 5 of 59
  • Hepatology 78
  • Pulmonary and Respiratory Medicine 288
  • Radiology, Nuclear Medicine and Imaging 92
  • Radiation 34
  • Health Informatics 4
Replace Ejona Duka with:
Ejona Duka Italy
Nils Rathmann Germany
Geoffroy Farouil France
Filippo Piacentino Italy
Monzer Chehab United States
Masami Toyoshima Japan
J. C. Zhu Australia
Kook Nam Han South Korea
Soichiro Hase Japan
Riccardo Muglia Italy
Mayu Uka relative to Ejona Duka Italy Ejona Duka's profile →
Citations per field
00.5×3.8×
Ejona Duka · 1×
Citations per year

Countries citing papers authored by Mayu Uka

Since Specialization
Citations

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

Fields of papers citing papers by Mayu Uka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mayu Uka, 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 Mayu Uka Line = papers co-authored together Mayu Uka links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201380
2 201032
3 201130
4 201225
5 201924
6 201918
7 201716
8 202216
9 202214
10 201914
11 202010
12 20219
13 20189
14 20239
15 20228
16 20198
17 20238
18 20217
19 20206
20 20206

About Mayu Uka

Mayu Uka is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Molecular Biology and Oncology, having authored 61 papers that have together received 434 indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (23 papers), MRI in cancer diagnosis (13 papers), Renal and related cancers (10 papers), Medical Imaging and Pathology Studies (9 papers), Lung Cancer Diagnosis and Treatment (7 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers) and Advanced X-ray and CT Imaging (5 papers). The work is most often cited by research in Hepatology (78 citations), Pulmonary and Respiratory Medicine (288 citations), Radiology, Nuclear Medicine and Imaging (92 citations), Radiation (34 citations) and Health Informatics (4 citations). Mayu Uka has collaborated with scholars based in Japan and South Korea. Frequent co-authors include Takao Hiraki, Hideo Gobara, Susumu Kanazawa, Koji Tomita, Yusuke Matsui, Toshihiro Iguchi, Hiroyasu Fujiwara, Shinichi Toyooka, Hiroaki Ishii and Jun Sakùrai. Their work appears in journals such as Diagnostic and Interventional Imaging, Journal of Vascular and Interventional Radiology, International Journal of Clinical Oncology, European Radiology and European Journal of Radiology.

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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