Mayuko Ueda

1.6k citations
44 papers · 1.4k · h-index 18

Impact in

  • Hematology top 2%
    • Erythropoietin and Anemia Treatment
    • Ovarian cancer diagnosis and treatment
    • Endometriosis Research and Treatment

Papers in

Mayuko Ueda

44 papers receiving 1.3k citations

Peers

Mayuko Ueda
Comparison fields: 5 of 68
  • Hematology 439
  • Reproductive Medicine 114
  • Hepatology 55
  • Molecular Biology 298
  • Neurology 36
Replace Olga Ostrovsky with:
Olga Ostrovsky Israel
Dimple Bansal United States
Michael Klüppel Canada
Xinxin Huang China
Hongjie Shen China
M. Saitoh Japan
Jens‐Gustav Iversen Norway
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Ari‐Pekka J. Huovila Finland
Yinyin Huang United States
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Citations per field
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Citations per year

Countries citing papers authored by Mayuko Ueda

Since Specialization
Citations

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

Fields of papers citing papers by Mayuko Ueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994398
2 1991115
3 199477
4 199873
5 198968
6 200256
7
K-ras gene mutations in early colorectal cancer ... flat elevated vs polyp-forming cancer....
199555
8 198453
9 199652
10
Apoptosis and tumor angiogenesis in cervical cancer after preoperative chemotherapy.
199841
11 199739
12 200235
13 200630
14 200623
15 200220
16 199219
17 200719
18 199718
19 200118
20 200618

About Mayuko Ueda

Mayuko Ueda is a scholar working on Hematology, Obstetrics and Gynecology, Reproductive Medicine, Epidemiology and Genetics, having authored 44 papers that have together received 1.4k indexed citations. Recurring topics across this work include Erythropoietin and Anemia Treatment (13 papers), Cervical Cancer and HPV Research (5 papers), Endometrial and Cervical Cancer Treatments (4 papers), Ovarian cancer diagnosis and treatment (3 papers), Tuberous Sclerosis Complex Research (3 papers), Animal Genetics and Reproduction (3 papers), Biosimilars and Bioanalytical Methods (2 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Hematology (439 citations), Reproductive Medicine (114 citations), Hepatology (55 citations), Molecular Biology (298 citations) and Neurology (36 citations). Mayuko Ueda has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include R Sasaki, Seiji Masuda, Kazumasa Yamagishi, Masaya Nagao, M. Ueki, Gosei Kawanishi, Kunihisa Akai, Masumi Hirabayashi, Katsuya Yamaguchi and Hideo Chiba. Their work appears in journals such as International Journal of Gynecological Cancer, Theriogenology, Journal of Biological Chemistry, Blood and Biotechnology Progress.

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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