Tomoko Umeda

1.5k citations
52 papers · 1.1k · h-index 16

Impact in

Papers in

    • Cancer Treatment and Pharmacology 5
    • Cancer Diagnosis and Treatment 3
    • Colorectal Cancer Treatments and Studies 3
    • Advanced Control Systems Optimization 9
    • Process Optimization and Integration 8
    • Fault Detection and Control Systems 3

Tomoko Umeda

47 papers receiving 1.0k citations

Peers

Tomoko Umeda
Comparison fields: 5 of 121
  • Control and Systems Engineering 487
  • Modeling and Simulation 55
  • Environmental Chemistry 81
  • Cancer Research 108
  • Numerical Analysis 30
Replace Marcel Schilling with:
Marcel Schilling Germany
Ann E. Rundell United States
Elena De Angelis Italy
Antoine Rousseau France
Anwesha Chaudhury United States
Zhengxin Wang China
Wanli Xie China
Alessandro Bevilacqua Italy
Tomoko Umeda relative to Marcel Schilling Germany Marcel Schilling's profile →
Citations per field
00.5×10×16.2×
Marcel Schilling · 1×
Citations per year

Countries citing papers authored by Tomoko Umeda

Since Specialization
Citations

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

Fields of papers citing papers by Tomoko Umeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980266
2 1997192
3 198098
4 197983
5 201161
6 199744
7 201327
8 200526
9
Pleomorphic lobular carcinoma in a male breast: a case report with review of the literature.
201325
10 197224
11 200421
12 198120
13 201519
14 197818
15 201315
16 201415
17 198011
18 19728
19 19728
20 19777

About Tomoko Umeda

Tomoko Umeda is a scholar working on Oncology, Control and Systems Engineering, Cancer Research, Pathology and Forensic Medicine and Surgery, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (9 papers), Process Optimization and Integration (8 papers), Breast Cancer Treatment Studies (6 papers), Cancer Treatment and Pharmacology (5 papers), Breast Lesions and Carcinomas (5 papers), Cancer Diagnosis and Treatment (3 papers), Colorectal Cancer Treatments and Studies (3 papers) and Fault Detection and Control Systems (3 papers). The work is most often cited by research in Control and Systems Engineering (487 citations), Modeling and Simulation (55 citations), Environmental Chemistry (81 citations), Cancer Research (108 citations) and Numerical Analysis (30 citations). Tomoko Umeda has collaborated with scholars based in Japan. Frequent co-authors include T. Kuriyama, K. Kawasaki, Mitsugu Matsushita, Nanako Shigesada, Atsushi Mochizuki, Toshihide Harada, Eiji O’Shima, H. Matsuyama, Yuki Kawai and Tohru Tani. Their work appears in journals such as Computers & Chemical Engineering, Breast Cancer, Journal of Clinical Oncology, Surgery Today and Breast Disease.

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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