Mai Hashimoto

25 papers receiving 341 citations

Peers

Mai Hashimoto
Comparison fields: 5 of 76
  • Surfaces, Coatings and Films 38
  • Pharmaceutical Science 20
  • Spectroscopy 46
  • Radiology, Nuclear Medicine and Imaging 49
  • Biomaterials 29
Replace Ken Akamatsu with:
Ken Akamatsu Japan
Vijayanand Chandrasekaran Germany
Hélène Collet France
Małgorzata A. Śmiałek Poland
Hideaki Fujitani Japan
Kouichi Yamanouchi United States
O. Tissot France
Athanasios Galanis Greece
Jean‐Pierre Ballini Switzerland
Mai Hashimoto relative to Ken Akamatsu Japan Ken Akamatsu's profile →
Citations per field
00.5×1.6×
Ken Akamatsu · 1×
Citations per year

Countries citing papers authored by Mai Hashimoto

Since Specialization
Citations

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

Fields of papers citing papers by Mai Hashimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200689
2 200851
3 200932
4 199928
5 202021
6 202120
7 202116
8 202411
9 202210
10 20248
11 20208
12 20227
13 20187
14 20196
15 20245
16 20204
17 20224
18 20154
19 20183
20 20183

About Mai Hashimoto

Mai Hashimoto is a scholar working on Molecular Biology, Oncology, Epidemiology, Biomedical Engineering and Infectious Diseases, having authored 25 papers that have together received 346 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Protein Interaction Studies and Fluorescence Analysis (3 papers), HIV/AIDS drug development and treatment (2 papers), Microfluidic and Bio-sensing Technologies (2 papers), Advanced Sensor and Energy Harvesting Materials (2 papers), Colorectal Cancer Screening and Detection (2 papers) and Micro and Nano Robotics (2 papers). The work is most often cited by research in Surfaces, Coatings and Films (38 citations), Pharmaceutical Science (20 citations), Spectroscopy (46 citations), Radiology, Nuclear Medicine and Imaging (49 citations) and Biomaterials (29 citations). Mai Hashimoto has collaborated with scholars based in Japan, United States and Malaysia. Frequent co-authors include Kenji Monde, Tamotsu Inabe, Nobuaki Miura, Tohru Taniguchi, Akira Mizuno, Hachiro Yasuda, Kazunori Takashima, Md. Masudur Rahman, Tamotsu Sugai and Masaki Otagiri. Their work appears in journals such as Journal of Pharmaceutical Sciences, Biological and Pharmaceutical Bulletin, Carcinogenesis, Journal of Hepatology and Translational Lung Cancer Research.

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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