T Furuta

1.0k citations
16 papers · 880 · h-index 10

Impact in

  • Toxicology top 0.5%
    • Bioactive Compounds and Antitumor Agents
  • Oncology top 5%
    • Lung Cancer Research Studies
    • Neutropenia and Cancer Infections
    • Cancer Treatment and Pharmacology
    • Drug Transport and Resistance Mechanisms

Papers in

    • Cancer therapeutics and mechanisms 13
    • Cancer Treatment and Pharmacology 7
    • Neutropenia and Cancer Infections 3
    • Lung Cancer Research Studies 3

T Furuta

16 papers receiving 830 citations

Peers

T Furuta
Comparison fields: 5 of 62
  • Toxicology 216
  • Oncology 497
  • Molecular Biology 746
  • Organic Chemistry 180
  • Pharmacology 97
Replace Yasuyoshi Kawato with:
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T Furuta relative to Yasuyoshi Kawato Japan Yasuyoshi Kawato's profile →
Citations per field
00.5×1.5×
Yasuyoshi Kawato · 1×
Citations per year

Countries citing papers authored by T Furuta

Since Specialization
Citations

This map shows the geographic impact of T Furuta'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 T Furuta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Furuta more than expected).

Fields of papers citing papers by T Furuta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1
Metabolism and pharmacokinetics of the camptothecin analogue CPT-11 in the mouse.
1990266
2 1991193
3 1991137
4 199164
5 199158
6 199439
7 201138
8
[Effect of administration schedules on the antitumor activity of CPT-11, a camptothecin derivative].
199020
9 199319
10
[Antitumor activity of CPT-11 against rat Walker 256 carcinoma].
198817
11 19939
12 19929
13
[Combination therapy of CPT-11, a camptothecin derivative, with various antitumor drugs against L 1210 leukemia].
19918
14 20101
15 20061
16 20061

About T Furuta

T Furuta is a scholar working on Molecular Biology, Oncology, Toxicology, Organic Chemistry and Biomaterials, having authored 16 papers that have together received 880 indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (13 papers), Cancer Treatment and Pharmacology (7 papers), Bioactive Compounds and Antitumor Agents (4 papers), Nanoparticle-Based Drug Delivery (3 papers), Neutropenia and Cancer Infections (3 papers), Lung Cancer Research Studies (3 papers), Synthesis and Biological Activity (2 papers) and Lung Cancer Treatments and Mutations (2 papers). The work is most often cited by research in Toxicology (216 citations), Oncology (497 citations), Molecular Biology (746 citations), Organic Chemistry (180 citations) and Pharmacology (97 citations). T Furuta has collaborated with scholars based in Japan. Frequent co-authors include Teruo Yokokura, T Yokokura, N Kaneda, Hiroko Nagata, K Nokata, Ritsuo Aiyama, Megumi Yasuoka, Kensuke Matsumoto, Sadao Sawada and Masashi Aonuma. Their work appears in journals such as Chemical and Pharmaceutical Bulletin, Molecular Cancer Therapeutics, Biological and Pharmaceutical Bulletin, Cancer Chemotherapy and Pharmacology and European Journal of Cancer Supplements.

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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