Takehiro Hashimoto

4.3k citations
41 papers · 552 · 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

33 papers receiving 542 citations

Peers

Takehiro Hashimoto
Comparison fields: 5 of 77
  • Cancer Research 210
  • Molecular Biology 277
  • Endocrinology 20
  • Infectious Diseases 61
  • Microbiology 20
Replace Joris Koetsveld with:
Joris Koetsveld Netherlands
Zehui Lei China
Andrea Hodgson United States
Mohamed Maarouf China
Weixian Chen China
Zhi Jiang China
Robb Rowley United States
M. Beitsma Netherlands
Maggie Barr United States
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Citations per field
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Joris Koetsveld · 1×
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 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009192
2 2010110
3 200936
4 202226
5 201723
6 201723
7 202418
8 202111
9 202310
10 20189
11 20209
12 20238
13 20168
14 20247
15 20167
16 20226
17 20236
18 20175
19 20175
20 20224

About Takehiro Hashimoto

Takehiro Hashimoto is a scholar working on Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health, Molecular Biology and Pharmacology, having authored 41 papers that have together received 552 indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (4 papers), Viral Infections and Vectors (4 papers), Mosquito-borne diseases and control (4 papers), Antibiotic Resistance in Bacteria (3 papers), Bacterial Identification and Susceptibility Testing (3 papers), Vibrio bacteria research studies (2 papers), Rabies epidemiology and control (2 papers) and Sepsis Diagnosis and Treatment (2 papers). The work is most often cited by research in Cancer Research (210 citations), Molecular Biology (277 citations), Endocrinology (20 citations), Infectious Diseases (61 citations) and Microbiology (20 citations). Takehiro Hashimoto has collaborated with scholars based in Japan, United States and Bangladesh. Frequent co-authors include Carsten O. Daub, Jun Yasuda, Alistair R. R. Forrest, Yukari Takahashi, Emi Maeno, Geoffrey J. Faulkner, Yoshihide Hayashizaki, Michiel de Hoon, Takaaki Yahiro and Norio Ohmagari. Their work appears in journals such as Biological and Pharmaceutical Bulletin, American Journal of Tropical Medicine and Hygiene, BMC Infectious Diseases, Therapeutic Drug Monitoring and Emerging 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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