Takehiro Hashimoto

4.3k citations
37 papers · 522 · h-index 10

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • RNA modifications and cancer
    • Circular RNAs in diseases
    • RNA Research and Splicing
    • RNA regulation and disease

Papers in

Takehiro Hashimoto

30 papers receiving 513 citations

Peers

Takehiro Hashimoto
Comparison fields: 5 of 81
  • Cancer Research 234
  • Molecular Biology 307
  • Endocrinology 20
  • Microbiology 24
  • Infectious Diseases 71
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Sarah Wachtel United States
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Mohamed Maarouf China
Zhi Jiang China
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Citations per field
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Citations per year

Countries citing papers authored by Takehiro Hashimoto

Since Specialization
Citations

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

Fields of papers citing papers by Takehiro Hashimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009189
2 2010107
3 200933
4 201723
5 202222
6 201722
7 202414
8 202310
9 202110
10 20189
11 20208
12 20238
13 20167
14 20226
15 20246
16 20166
17 20175
18 20175
19 20234
20 20194

About Takehiro Hashimoto

Takehiro Hashimoto is a scholar working on Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health, Molecular Biology and Clinical Biochemistry, having authored 37 papers that have together received 522 indexed citations. Recurring topics across this work include Viral Infections and Vectors (5 papers), Bacterial Identification and Susceptibility Testing (5 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), Mosquito-borne diseases and control (4 papers), Cancer-related molecular mechanisms research (3 papers), Antibiotic Resistance in Bacteria (3 papers), Yersinia bacterium, plague, ectoparasites research (2 papers) and Urinary Tract Infections Management (2 papers). The work is most often cited by research in Cancer Research (234 citations), Molecular Biology (307 citations), Endocrinology (20 citations), Microbiology (24 citations) and Infectious Diseases (71 citations). Takehiro Hashimoto has collaborated with scholars based in Japan, United States and Bangladesh. Frequent co-authors include Carsten O. Daub, Jun Yasuda, Yukari Takahashi, Alistair R. R. Forrest, Emi Maeno, Geoffrey J. Faulkner, Yoshihide Hayashizaki, Michiel de Hoon, Kayoko Hayakawa and Norio Ohmagari. Their work appears in journals such as Biological and Pharmaceutical Bulletin, Therapeutic Drug Monitoring, Emerging infectious diseases, American Journal of Tropical Medicine and Hygiene and BMC Infectious Diseases.

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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