Tomoko Ueda

407 citations
23 papers · 310 · h-index 9

Impact in

    • Cellular transport and secretion
    • Microtubule and mitosis dynamics
    • Retinal Diseases and Treatments

Papers in

Tomoko Ueda

22 papers receiving 303 citations

Peers

Tomoko Ueda
Comparison fields: 5 of 73
  • Cell Biology 76
  • Ophthalmology 36
  • Physiology 14
  • Molecular Biology 167
  • Cancer Research 34
Replace Leili Ran with:
Leili Ran United States
Aifen Wang China
Mohammed Benkheil Belgium
M Kaufmann Germany
Alka Mahale United States
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Tomoko Ueda relative to Leili Ran United States Leili Ran's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tomoko Ueda

Since Specialization
Citations

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

Fields of papers citing papers by Tomoko Ueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201783
2 201248
3 201733
4 201026
5 201720
6 201518
7 201118
8 201315
9 20138
10
Results of the Baerveldt® Glaucoma Implant for Neovascular Glaucoma Patients.
20176
11 20185
12 20165
13 20155
14 20214
15 20183
16 20233
17 20212
18 19982
19 20222
20
[A case of acute pulmonary thromboembolism accompanied by anomalous inferior vena cava with azygous continuation].
20062

About Tomoko Ueda

Tomoko Ueda is a scholar working on Molecular Biology, Reproductive Medicine, Ophthalmology, Oncology and Obstetrics and Gynecology, having authored 23 papers that have together received 310 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (4 papers), Ovarian cancer diagnosis and treatment (4 papers), Cellular transport and secretion (3 papers), Glaucoma and retinal disorders (2 papers), Hedgehog Signaling Pathway Studies (2 papers), BRCA gene mutations in cancer (2 papers), Microtubule and mitosis dynamics (2 papers) and Endometriosis Research and Treatment (2 papers). The work is most often cited by research in Cell Biology (76 citations), Ophthalmology (36 citations), Physiology (14 citations), Molecular Biology (167 citations) and Cancer Research (34 citations). Tomoko Ueda has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Hiroaki Shibahara, Hiroshi Tsubamoto, Kayo Inoue, Kazuko Sakata, Takashi Sonoda, Hye‐Won Shin, Kazuhisa Nakayama, Mihoko Suzuki, Motohiro Kamei and Senye Takahashi. Their work appears in journals such as Anticancer Research, Investigative Ophthalmology & Visual Science, The EMBO Journal, FEBS Letters and Cell Structure and Function.

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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