Masako Uno

659 citations
38 papers · 528 indexed · h-index 12

Impact in

Papers in

Masako Uno

28 papers receiving 513 citations

Peers

Masako Uno
Comparison fields: 5 of 73
  • Hematology 72
  • Radiology, Nuclear Medicine and Imaging 130
  • Oncology 148
  • Gastroenterology 28
  • Endocrinology, Diabetes and Metabolism 73
Replace Christina Williamson with:
Christina Williamson United States
Ebenezer A. Kio United States
Olugbenga Olowokure United States
Lucia Trandafir Switzerland
Yoichi Hamai Japan
M Yasutomi Japan
Naritaka Tanaka Japan
C Mossetti Italy
Yutaka Tagawa Japan
Yu Oyama Japan
Masako Uno relative to Christina Williamson United States Christina Williamson's profile →
Citations per field
00.5×10×14.6×
Christina Williamson · 1×
Citations per year

Countries citing papers authored by Masako Uno

Since Specialization
Citations

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

Fields of papers citing papers by Masako Uno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20121
3 201230
4 20090
5 20090
6 20093
7 20083
8 20081
9 200835
10 20071
11 20071
12 2006109
13 20032
14 200211
15 200129
16 200117
17 200112
18 19981
19 19989
20
Idiopathic retroperitoneal fibrosis effectively treated with steroid therapy: A report of two cases
19951

About Masako Uno

Masako Uno is a scholar working on Otorhinolaryngology, Oncology, Immunology and Allergy, Hematology and Sensory Systems, having authored 38 papers that have together received 528 indexed citations. Recurring topics across this work include Ear and Head Tumors (6 papers), Multiple Myeloma Research and Treatments (4 papers), Head and Neck Cancer Studies (4 papers), Retinoids in leukemia and cellular processes (3 papers), Ubiquitin and proteasome pathways (3 papers), Cancer-related Molecular Pathways (3 papers), Salivary Gland Tumors Diagnosis and Treatment (3 papers) and IgG4-Related and Inflammatory Diseases (2 papers). The work is most often cited by research in Hematology (72 citations), Radiology, Nuclear Medicine and Imaging (130 citations), Oncology (148 citations), Gastroenterology (28 citations) and Endocrinology, Diabetes and Metabolism (73 citations). Masako Uno has collaborated with scholars based in Japan and United States. Frequent co-authors include Junichi Kurebayashi, Tamotsu Harada, Takuya Moriya, Kenichiro Yata, Teruhito Aihara, Hironori Kunisue, Haruko Sakaguchi, Junichi Hiratsuka, Takemi Otsuki and Ayako Ueki. Their work appears in journals such as International Journal of Oncology, British Journal of Haematology, Neuroradiology, Head & Neck and The Journal of Clinical Endocrinology & Metabolism.

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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