Tomoki Imaoka

966 citations
20 papers · 718 · h-index 14

Impact in

    • Pharmacogenetics and Drug Metabolism
  • Oncology top 10%
    • Drug Transport and Resistance Mechanisms

Papers in

Tomoki Imaoka

20 papers receiving 702 citations

Peers

Tomoki Imaoka
Comparison fields: 5 of 80
  • Pharmacology 133
  • Oncology 385
  • Pediatrics, Perinatology and Child Health 248
  • Virology 54
  • Infectious Diseases 139
Replace Vikram Arya with:
Vikram Arya United States
François A. Leblond Canada
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J H Lin United States
J Zundler Germany
Annick Seithel Germany
Fumihiko Ushigome Japan
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Masanori Horinouchi Japan
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Citations per field
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Citations per year

Countries citing papers authored by Tomoki Imaoka

Since Specialization
Citations

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

Fields of papers citing papers by Tomoki Imaoka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2006221
2 2005137
3 201478
4 200447
5 202026
6 201425
7 202023
8 202121
9 199321
10 201821
11 201919
12 202118
13 201318
14 200415
15 20159
16 20246
17 20235
18
[Metabolic characteristics and antitumor activity of BOF-A2, a new 5-fluorouracil derivative].
19905
19 20192
20 20241

About Tomoki Imaoka

Tomoki Imaoka is a scholar working on Oncology, Pediatrics, Perinatology and Child Health, Molecular Biology, Nephrology and Pharmaceutical Science, having authored 20 papers that have together received 718 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (10 papers), Pharmacological Effects and Toxicity Studies (5 papers), Ion Transport and Channel Regulation (3 papers), Drug Solubulity and Delivery Systems (2 papers), Pancreatic function and diabetes (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), HER2/EGFR in Cancer Research (2 papers) and Nanoparticle-Based Drug Delivery (2 papers). The work is most often cited by research in Pharmacology (133 citations), Oncology (385 citations), Pediatrics, Perinatology and Child Health (248 citations), Virology (54 citations) and Infectious Diseases (139 citations). Tomoki Imaoka has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Hiroyuki Kusuhara, Yuichi Sugiyama, Masashi Adachi, Kenji Takeuchi, John D. Schuetz, Hitoshi Endou, Hermann Koepsell, Eiichi Fuse, Harunobu Tahara and Takashi Izumi. Their work appears in journals such as Drug Metabolism and Disposition, ACS Medicinal Chemistry Letters, Scientific Reports, Journal of Pharmaceutical Sciences and Journal of Pharmacology and Experimental Therapeutics.

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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