Takeshi Uchiumi

11.2k citations
201 papers · 9.1k indexed · 1 hit paper · h-index 55

Takeshi Uchiumi

195 papers receiving 9.0k citations

Hit Papers

Exosomes from TNF-α-treated human gingiva-derived MSCs en...3482020202620222024100200300

Peers

Takeshi Uchiumi
Comparison fields: 5 of 132
  • Oncology 3.2k
  • Molecular Biology 5.6k
  • Cancer Research 1.1k
  • Pediatrics, Perinatology and Child Health 934
  • Cell Biology 692
Replace András Váradi with:
András Váradi Hungary
Tatsuhiko Furukawa Japan
Mayumi Ono Japan
Murray D. Norris Australia
Gary D. Kruh United States
Thomas Litman Denmark
Glen Reid Australia
D. Montgomery Bissell United States
Gianluca Tell Italy
Martin Bilban Austria
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Citations per field
00.5×4.5×
András Váradi · 1×
Citations per year

Countries citing papers authored by Takeshi Uchiumi

Since Specialization
Citations

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

Fields of papers citing papers by Takeshi Uchiumi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20244
4 20242
5 20242
6 20234
7 202218
8 202223
9 202140
10 202027
11 20194
12 201711
13 201514
14 201344
15 201169
16 201076
17
ATP-binding cassette superfamily transporter gene expression in human primary ovarian carcinoma.
200266
18
Increased expression of an ATP-binding cassette superfamily transporter, multidrug resistance protein 2, in human colorectal carcinomas.
2000150
19 199872
20
A canalicular multispecific organic anion transporter (cMOAT) antisense cDNA enhances drug sensitivity in human hepatic cancer cells.
1997203

About Takeshi Uchiumi

Takeshi Uchiumi is a scholar working on Oncology, Molecular Biology and Clinical Biochemistry, having authored 201 papers that have together received 9.1k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (37 papers), Prostate Cancer Treatment and Research (35 papers), RNA Research and Splicing (23 papers), Mitochondrial Function and Pathology (22 papers), Ubiquitin and proteasome pathways (17 papers), RNA modifications and cancer (17 papers), Estrogen and related hormone effects (17 papers) and Hormonal and reproductive studies (16 papers). The work is most often cited by research in Oncology (3.2k citations), Molecular Biology (5.6k citations) and Cancer Research (1.1k citations). Takeshi Uchiumi has collaborated with scholars based in Japan, United States and Belarus. Frequent co-authors include Michihiko Kuwano, Kimitoshi Kohno, Hiroto Izumi, Dongchon Kang, Morimasa Wada, Masaki Shiota, Akira Yokomizo, Seiji Naito, Junichi Inokuchi and Tomotake Kanki. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Oncology.

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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