Mayako Uchida
Impact in
- Toxicology top 5%
- Pharmacovigilance and Adverse Drug Reactions
- Geriatrics and Gerontology top 10%
- Pharmaceutical Practices and Patient Outcomes
Papers in
-
- Pharmaceutical Practices and Patient Outcomes 16
- Toxicology 13
- Pharmacovigilance and Adverse Drug Reactions 13
- Co-authors
- Yoshihiro UesawaShinya SuzukiKeiko HosohataTakehiro KawashiriTadashi ShimizuNobuaki EgashiraTakao ShimazoeDaisuke Kobayashi
- Journals
- Biological and Pharmaceutical Bulletin (11 papers)Oncology (9 papers)Anticancer Research (5 papers)Scientific Reports (4 papers)Therapeutics and Clinical Risk Management (3 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Mayako Uchida
84 papers receiving 498 citations
Peers
Comparison fields: 5 of 83
- Toxicology 51
- Geriatrics and Gerontology 50
- Oncology 218
- Hematology 74
- Pharmacology 53
Countries citing papers authored by Mayako Uchida
This map shows the geographic impact of Mayako Uchida'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 Mayako Uchida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayako Uchida more than expected).
Fields of papers citing papers by Mayako Uchida
This network shows the impact of papers produced by Mayako Uchida. 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 Mayako Uchida. The network helps show where Mayako Uchida may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mayako Uchida, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 9 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 0 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 3 | |
| 11 | 2022 | 8 | |
| 12 | 2021 | 13 | |
| 13 | 2021 | 3 | |
| 14 | 2020 | 7 | |
| 15 | 2019 | 19 | |
| 16 | 2019 | 4 | |
| 17 | 2018 | 8 | |
| 18 | 2013 | 3 | |
| 19 | 2012 | 0 | |
| 20 | 2010 | 3 |
About Mayako Uchida
Mayako Uchida is a scholar working on Geriatrics and Gerontology, Toxicology, Pharmacology, Hematology and Oncology, having authored 94 papers that have together received 508 indexed citations. Recurring topics across this work include Pharmaceutical Practices and Patient Outcomes (16 papers), Pharmacy and Medical Practices (16 papers), Lung Cancer Treatments and Mutations (14 papers), Pharmacovigilance and Adverse Drug Reactions (13 papers), Cancer Treatment and Pharmacology (13 papers), Multiple Myeloma Research and Treatments (12 papers), Colorectal Cancer Treatments and Studies (12 papers) and Drug-Induced Adverse Reactions (11 papers). The work is most often cited by research in Toxicology (51 citations), Geriatrics and Gerontology (50 citations), Oncology (218 citations), Hematology (74 citations) and Pharmacology (53 citations). Mayako Uchida has collaborated with scholars based in Japan and United States. Frequent co-authors include Yoshihiro Uesawa, Shinya Suzuki, Keiko Hosohata, Takehiro Kawashiri, Tadashi Shimizu, Nobuaki Egashira, Takao Shimazoe, Daisuke Kobayashi, Takayuki Nakagawa and Yukio Suga. Their work appears in journals such as Biological and Pharmaceutical Bulletin, Oncology, Anticancer Research, Scientific Reports and Therapeutics and Clinical Risk Management.
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.