N. Umeda

101 papers receiving 1.7k citations

Peers

N. Umeda
Comparison fields: 5 of 116
  • Rheumatology 245
  • Computational Mechanics 366
  • Ceramics and Composites 66
  • Materials Chemistry 462
  • Biomedical Engineering 421
Replace Eisuke Arai with:
Eisuke Arai Japan
Y. Fujikawa Japan
J. Szatkowski Poland
Anna Kozłowska Poland
P Couderc France
Satoshi Noda Japan
M. Shimada Japan
Weimin Pan China
Fuminori Sugihara Japan
Masaki Hasegawa Japan
N. Umeda relative to Eisuke Arai Japan Eisuke Arai's profile →
Citations per field
00.5×6.4×
Eisuke Arai · 1×
Citations per year

Countries citing papers authored by N. Umeda

Since Specialization
Citations

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

Fields of papers citing papers by N. Umeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992133
2 199983
3 199968
4
Therapeutic efficacy of N-3 polyunsaturated fatty acid in experimental Crohn's disease.
199567
5 199965
6 200561
7 200659
8 199947
9 200446
10 200443
11 200442
12 200040
13 200739
14 200036
15 201234
16 201133
17 201131
18 201330
19 201029
20 200526

About N. Umeda

N. Umeda is a scholar working on Biomedical Engineering, Computational Mechanics, Rheumatology, Materials Chemistry and Polymers and Plastics, having authored 102 papers that have together received 1.8k indexed citations. Recurring topics across this work include Nonlinear Optical Materials Studies (36 papers), Ion-surface interactions and analysis (33 papers), Rheumatoid Arthritis Research and Therapies (16 papers), Polymer Nanocomposite Synthesis and Irradiation (11 papers), Reconstructive Surgery and Microvascular Techniques (8 papers), Systemic Lupus Erythematosus Research (7 papers), Glass properties and applications (7 papers) and Quantum Dots Synthesis And Properties (7 papers). The work is most often cited by research in Rheumatology (245 citations), Computational Mechanics (366 citations), Ceramics and Composites (66 citations), Materials Chemistry (462 citations) and Biomedical Engineering (421 citations). N. Umeda has collaborated with scholars based in Japan, Russia and Germany. Frequent co-authors include Naoki Kishimoto, Yoshihiko Takeda, H. Amekura, Isao Koshima, Takahiko Moriguchi, V.T. Gritsyna, Isao Matsumoto, Takayuki Sumida, Ch. Buchal and Shugo Soeda. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms, Modern Rheumatology, Vacuum, Applied Physics Letters and Clinical & Experimental Immunology.

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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