Stefanie Ueda

5.0k citations
45 papers · 1.1k · h-index 17

Impact in

Papers in

Stefanie Ueda

43 papers receiving 1.0k citations

Peers

Stefanie Ueda
Comparison fields: 5 of 79
  • Obstetrics and Gynecology 295
  • Reproductive Medicine 334
  • Cancer Research 110
  • Oncology 116
  • Cellular and Molecular Neuroscience 72
Replace Gianluigi Taddei with:
Gianluigi Taddei Italy
Hirokazu Usui Japan
Kar Fai Tam Hong Kong
Diana R. Licence United Kingdom
B. Susil Australia
Duk Soo Bae South Korea
Henry L. Chang United States
Yasuhisa Terao Japan
Marzenna Orlowska‐Volk Germany
Karen H. Lu United States
Stefanie Ueda relative to Gianluigi Taddei Italy Gianluigi Taddei's profile →
Citations per field
00.5×4.2×
Gianluigi Taddei · 1×
Citations per year

Countries citing papers authored by Stefanie Ueda

Since Specialization
Citations

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

Fields of papers citing papers by Stefanie Ueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008164
2 2001112
3 200994
4 201682
5 201372
6 201060
7 202060
8 201451
9 200849
10 201140
11 200932
12 201228
13 201425
14 201824
15 201619
16 200917
17 201117
18 201714
19 201113
20 201513

About Stefanie Ueda

Stefanie Ueda is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Surgery, Epidemiology and Molecular Biology, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (10 papers), Endometrial and Cervical Cancer Treatments (9 papers), Cervical Cancer and HPV Research (6 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers), Endometriosis Research and Treatment (2 papers), Cancer, Lipids, and Metabolism (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers) and Enhanced Recovery After Surgery (2 papers). The work is most often cited by research in Obstetrics and Gynecology (295 citations), Reproductive Medicine (334 citations), Cancer Research (110 citations), Oncology (116 citations) and Cellular and Molecular Neuroscience (72 citations). Stefanie Ueda has collaborated with scholars based in United States, Uganda and Taiwan. Frequent co-authors include Daniel S. Kapp, John K. Chan, Robert E. Bristow, Jacob Y. Shin, Rebecca Brooks, Kathryn Osann, Lee-may Chen, Michael K. Cheung, Nelson N.H. Teng and Amreen Husain. Their work appears in journals such as Gynecologic Oncology, American Journal of Obstetrics and Gynecology, Journal of Clinical Oncology, Obstetrics and Gynecology and American Journal Of Pathology.

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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