Takenari Gotanda

762 citations
16 papers · 581 indexed · h-index 13
    • Cancer, Hypoxia, and Metabolism 3
    • Cancer, Lipids, and Metabolism 2
    • MicroRNA in disease regulation 2
    • Drug Transport and Resistance Mechanisms 3
    • Cancer Treatment and Pharmacology 2
    • Cancer-related Molecular Pathways 2
    • Bladder and Urothelial Cancer Treatments 2
    • T-cell and Retrovirus Studies 1

Takenari Gotanda

16 papers receiving 579 citations

Peers

Takenari Gotanda
Comparison fields: 5 of 63
  • Cancer Research 212
  • Molecular Biology 404
  • Oncology 142
  • Urology 23
  • Genetics 22
Replace Hsi Chin Wu with:
Hsi Chin Wu Taiwan
Marialaura Petroni Italy
Diha Freije United States
Qianghua Hu United States
Nobuyasu Hayashi Japan
Yasunori Hoshiya Japan
ZHENGMING SU China
Jim McBride United States
Mariana Lazarini Brazil
A.M. Merino Spain
Takenari Gotanda relative to Hsi Chin Wu Taiwan Hsi Chin Wu's profile →
Citations per field
00.5×1.5×2.3×
Hsi Chin Wu · 1×
Citations per year

Countries citing papers authored by Takenari Gotanda

Since Specialization
Citations

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

Fields of papers citing papers by Takenari Gotanda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1 20181
2 201151
3 2011117
4 20077
5 20067
6 200628
7 200636
8 200628
9 200612
10 200648
11 200574
12 200424
13 200453
14 200230
15
Suppression of thymidine phosphorylase-mediated angiogenesis and tumor growth by 2-deoxy-L-ribose.
200245
16 200120

About Takenari Gotanda

Takenari Gotanda is a scholar working on Cancer Research, Transplantation and Oncology, having authored 16 papers that have together received 581 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Bladder and Urothelial Cancer Treatments (2 papers), Cancer, Lipids, and Metabolism (2 papers), Cancer Treatment and Pharmacology (2 papers), MicroRNA in disease regulation (2 papers), Cancer-related Molecular Pathways (2 papers) and T-cell and Retrovirus Studies (1 paper). The work is most often cited by research in Cancer Research (212 citations), Molecular Biology (404 citations) and Oncology (142 citations). Takenari Gotanda has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Masayuki Nakagawa, Hideki Enokida, Kenryu Nishiyama, Misako Haraguchi, Tatsuhiko Furukawa, Tokushi Tachiwada, Tomoyuki Sumizawa, Naohiko Seki, Kazumori Kawakami and Hiroyuki Kubo. Their work appears in journals such as Oncology Reports, Biochemical and Biophysical Research Communications, Cancer Research, Cancer Letters and FEBS Letters.

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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