Mari Hashimoto
Impact in
- Archeology top 2%
- Forensic Anthropology and Bioarchaeology Studies
- Paleopathology and ancient diseases
- Pharmacology top 10%
- Pharmacogenetics and Drug Metabolism
Papers in
-
- Forensic Anthropology and Bioarchaeology Studies 7
- Paleopathology and ancient diseases 5
- Co-authors
- Kaoru Kobayashi (6 shared papers)Go Inokuchi (10 shared papers)Yohsuke Makino (10 shared papers)Suguru Torimitsu (10 shared papers)Ayumi Motomura (10 shared papers)Daisuke Yajima (10 shared papers)Rutsuko Yamaguchi (10 shared papers)Yumi Hoshioka (10 shared papers)
In The Last Decade
Mari Hashimoto
35 papers receiving 633 citations
Peers
Comparison fields: 5 of 109
- Archeology 144
- Pharmacology 78
- Behavioral Neuroscience 18
- Endocrine and Autonomic Systems 33
- Endocrinology, Diabetes and Metabolism 78
Countries citing papers authored by Mari Hashimoto
This map shows the geographic impact of Mari 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 Mari Hashimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mari Hashimoto more than expected).
Fields of papers citing papers by Mari Hashimoto
This network shows the impact of papers produced by Mari 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 Mari Hashimoto. The network helps show where Mari Hashimoto may publish in the future.
Co-authors
The 25 scholars most cited alongside Mari Hashimoto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 131 | |
| 2 | 2015 | 59 | |
| 3 | 2015 | 41 | |
| 4 | 2016 | 36 | |
| 5 | 2018 | 34 | |
| 6 | 2014 | 28 | |
| 7 | 2013 | 27 | |
| 8 | 2017 | 26 | |
| 9 | 2015 | 26 | |
| 10 | 2015 | 25 | |
| 11 | 2020 | 22 | |
| 12 | 2018 | 18 | |
| 13 | 2016 | 18 | |
| 14 | 2019 | 18 | |
| 15 | 2017 | 17 | |
| 16 | 2017 | 16 | |
| 17 | 2018 | 11 | |
| 18 | 2019 | 11 | |
| 19 | 2016 | 11 | |
| 20 | 2021 | 9 |
About Mari Hashimoto
Mari Hashimoto is a scholar working on Molecular Biology, Archeology, Surgery, Radiology, Nuclear Medicine and Imaging and Pharmacology, having authored 36 papers that have together received 645 indexed citations. Recurring topics across this work include Forensic Anthropology and Bioarchaeology Studies (7 papers), Pharmacogenetics and Drug Metabolism (5 papers), Autopsy Techniques and Outcomes (5 papers), Paleopathology and ancient diseases (5 papers), Neonatal Health and Biochemistry (3 papers), Estrogen and related hormone effects (3 papers), Cholesterol and Lipid Metabolism (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). The work is most often cited by research in Archeology (144 citations), Pharmacology (78 citations), Behavioral Neuroscience (18 citations), Endocrine and Autonomic Systems (33 citations) and Endocrinology, Diabetes and Metabolism (78 citations). Mari Hashimoto has collaborated with scholars based in Japan, Austria and Finland. Frequent co-authors include Kaoru Kobayashi, Go Inokuchi, Yohsuke Makino, Suguru Torimitsu, Ayumi Motomura, Daisuke Yajima, Rutsuko Yamaguchi, Yumi Hoshioka, Fumiko Chiba and Hirotaro Iwase. Their work appears in journals such as Forensic Science International, Drug Metabolism and Pharmacokinetics, Forensic Toxicology, Legal Medicine and Therapeutic Drug Monitoring.
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.