Akihisa Toda
- Neurology top 10%
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism 8
- Drug-Induced Hepatotoxicity and Protection 3
- Oncology top 10%
- Drug Transport and Resistance Mechanisms 5
- Pharmacology top 10%
- Pharmacogenetics and Drug Metabolism 8
- Drug-Induced Hepatotoxicity and Protection 3
-
- Receptor Mechanisms and Signaling 5
- Metabolomics and Mass Spectrometry Studies 3
- Peroxisome Proliferator-Activated Receptors 3
-
- Food Allergy and Anaphylaxis Research 3
-
- Immune Response and Inflammation 3
- Co-authors
- Reiko EyanagiHiroshi ShimenoShinji SoedaTakashi OchiaiHidenari ShigematsuKatsunori IwasakiMichihiro FujiwaraHiroyuki Tanaka
- Cited by
- NeurologyPharmacologyOncology
- Journals
- Biochemical and Biophysical Research Communications (2 papers)FEBS Letters (1 paper)Neuroscience (1 paper)
- Partner nations
- JapanUnited StatesCambodia
In The Last Decade
Akihisa Toda
40 papers receiving 731 citations
Peers
Comparison fields: 5 of 100
- Neurology 88
- Pharmacology 175
- Oncology 248
- Pharmacology 68
- Complementary and alternative medicine 49
Countries citing papers authored by Akihisa Toda
This map shows the geographic impact of Akihisa Toda'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 Akihisa Toda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akihisa Toda more than expected).
Fields of papers citing papers by Akihisa Toda
This network shows the impact of papers produced by Akihisa Toda. 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 Akihisa Toda. The network helps show where Akihisa Toda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Akihisa Toda, 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 | 2021 | 4 | |
| 3 | 2020 | 13 | |
| 4 | 2019 | 23 | |
| 5 | 2019 | 1 | |
| 6 | 2016 | 19 | |
| 7 | 2015 | 3 | |
| 8 | 2014 | 6 | |
| 9 | 2012 | 4 | |
| 10 | 2010 | 18 | |
| 11 | 2009 | 10 | |
| 12 | 2008 | 13 | |
| 13 | 2007 | 22 | |
| 14 | 2007 | 89 | |
| 15 | 2006 | 18 | |
| 16 | 2006 | 209 | |
| 17 | 1996 | 3 | |
| 18 | 1995 | 46 | |
| 19 | 1994 | 17 | |
| 20 | 1987 | 14 |
About Akihisa Toda
Akihisa Toda is a scholar working on Pharmacology, Immunology and Allergy and Physiology, having authored 41 papers that have together received 756 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (8 papers), Drug Transport and Resistance Mechanisms (5 papers), Receptor Mechanisms and Signaling (5 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Food Allergy and Anaphylaxis Research (3 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Neurology (88 citations), Pharmacology (175 citations) and Oncology (248 citations). Akihisa Toda has collaborated with scholars based in Japan, United States and Cambodia. Frequent co-authors include Reiko Eyanagi, Hiroshi Shimeno, Shinji Soeda, Takashi Ochiai, Hidenari Shigematsu, Katsunori Iwasaki, Michihiro Fujiwara, Hiroyuki Tanaka, Yukihiro Shoyama and Shigeru Ohta. Their work appears in journals such as Biochemical and Biophysical Research Communications, FEBS Letters and Neuroscience.
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.