Sayaka Ueno

506 citations
29 papers · 309 · h-index 10

Impact in

Papers in

Sayaka Ueno

24 papers receiving 301 citations

Peers

Sayaka Ueno
Comparison fields: 5 of 59
  • Obstetrics and Gynecology 95
  • Reproductive Medicine 98
  • Oncology 85
  • Cancer Research 39
  • Pulmonary and Respiratory Medicine 62
Replace Hua-Hsi Wu with:
Hua-Hsi Wu Taiwan
Omer Devaja United Kingdom
Domenico Ferraioli France
Agustín Sánchez Rey Spain
J. Lahodny Austria
Shuqi Chi China
Kristen Bunch United States
Caroline Humber United Kingdom
Kazuhisa Kitami Japan
Sayaka Ueno relative to Hua-Hsi Wu Taiwan Hua-Hsi Wu's profile →
Citations per field
00.5×7.2×
Hua-Hsi Wu · 1×
Citations per year

Countries citing papers authored by Sayaka Ueno

Since Specialization
Citations

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

Fields of papers citing papers by Sayaka Ueno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201357
2 201342
3 202242
4 201328
5 201223
6 198721
7 201816
8 202115
9 202010
10 20229
11 20139
12 20128
13 20125
14 20224
15 20233
16 20253
17 20223
18
A CASE OF EOSINOPHILIC ESOPHAGITIS COMPLICATED WITH CROHN'S DISEASE
20152
19 20222
20 20222

About Sayaka Ueno

Sayaka Ueno is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, Obstetrics and Gynecology and Reproductive Medicine, having authored 29 papers that have together received 309 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (6 papers), Endometrial and Cervical Cancer Treatments (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), Lung Cancer Diagnosis and Treatment (5 papers), Ovarian cancer diagnosis and treatment (4 papers), Lung Cancer Research Studies (4 papers), BRCA gene mutations in cancer (2 papers) and Asthma and respiratory diseases (2 papers). The work is most often cited by research in Obstetrics and Gynecology (95 citations), Reproductive Medicine (98 citations), Oncology (85 citations), Cancer Research (39 citations) and Pulmonary and Respiratory Medicine (62 citations). Sayaka Ueno has collaborated with scholars based in Japan and United States. Frequent co-authors include Tamotsu Sudo, Kiyoshi Fujiwara, Ryuichiro Nishimura, Satoshi Yamaguchi, Akira Hirasawa, Shinichi Iwasaki, Satoshi Yamaguchi, Yoshiki Mikami, Hideyuki Saya and Eiji Sugihara. Their work appears in journals such as International Journal of Gynecological Cancer, Journal of Cancer, ESMO Open, Translational research and Gynecologic Oncology.

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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